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Jean-François Bonnefon
(Jean-Francois Bonnefon)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2012. "The Modular Nature of Trustworthiness Detection," TSE Working Papers 12-311, Toulouse School of Economics (TSE).

    Mentioned in:

    1. Detecting trustworthiness
      by Nicholas Gruen in Club Troppo on 2012-06-27 06:37:30

Working papers

  1. Jean-François Bonnefon & Augustin Landier & Parinitha R. Sastry & David Thesmar, 2022. "The Moral Preferences of Investors: Experimental Evidence," NBER Working Papers 29647, National Bureau of Economic Research, Inc.

    Cited by:

    1. Michele Fioretti & Victor Saint-Jean & Simon C Smith, 2022. "The Voice: The Shareholders' Motives Behind Corporate Donations during COVID-19 (former title: Selfish Shareholders: Corporate Donations during COVID-19)," Working Papers hal-03386585, HAL.
    2. Rüdiger Fahlenbrach & Eric Jondeau, 2021. "Greening the Swiss National Bank's Portfolio," Swiss Finance Institute Research Paper Series 21-59, Swiss Finance Institute.
    3. Kim, Daniel & Pouget, Sébastien, 2023. "Do carbon emissions affect the cost of capital? Primary versus secondary corporate bond markets," TSE Working Papers 23-1472, Toulouse School of Economics (TSE).
    4. Sébastien Duchêne & Adrien Nguyen-Huu & Dimitri Dubois & Marc Willinger, 2022. "Risk-return trade-offs in the context of environmental impact: a lab-in-the-field experiment with finance professionals," CEE-M Working Papers hal-03883121, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    5. Florian Heeb & Julian F Kölbel & Falko Paetzold & Stefan Zeisberger, 2023. "Do Investors Care about Impact?," The Review of Financial Studies, Society for Financial Studies, vol. 36(5), pages 1737-1787.
    6. Kräussl, Roman & Oladiran, Tobi & Stefanova, Denitsa, 2023. "A review on ESG investing: Investors' expectations, beliefs and perceptions," CFS Working Paper Series 694, Center for Financial Studies (CFS).

  2. Philip Clarke & Laurence Roope & Peter Loewen & Jean-François Bonnefon & Alessia Melegaro & Jorge Friedman & Mara Violato & Adrian Barnett & Raymond Duch, 2021. "Public opinion on global rollout of COVID-19 vaccines," Post-Print hal-03261784, HAL.

    Cited by:

    1. Simon Munzert & Sebastian Ramirez-Ruiz & Başak Çalı & Lukas F. Stoetzer & Anita Gohdes & Will Lowe, 2022. "Prioritization preferences for COVID-19 vaccination are consistent across five countries," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    2. Barceló, Joan & Sheen, Greg Chih-Hsin & Tung, Hans H. & Wu, Wen-Chin, 2022. "Vaccine nationalism among the public: A cross-country experimental evidence of own-country bias towards COVID-19 vaccination," Social Science & Medicine, Elsevier, vol. 310(C).

  3. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2021. "How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars," Post-Print hal-03236635, HAL.

    Cited by:

    1. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

  4. Jean-François Bonnefon, 2021. "The car that knew too much: can a machine be moral?," Post-Print hal-03473139, HAL.

    Cited by:

    1. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    2. Ahi, Alan A. & Sinkovics, Noemi & Shildibekov, Yelnur & Sinkovics, Rudolf R. & Mehandjiev, Nikolay, 2022. "Advanced technologies and international business: A multidisciplinary analysis of the literature," International Business Review, Elsevier, vol. 31(4).
    3. Jack Stilgoe & Miloš Mladenović, 2022. "The politics of autonomous vehicles," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-6, December.

  5. Raymond Duch & Laurence Roope & Mara Violato & Mf Becerra & T. Robinson & Jean-François Bonnefon & Jorge Friedman & Peter Loewen & P. Mamidi & Alessia Melegaro & M. Blanco & J. Vargas & J. Seither & P, 2021. "Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities," Post-Print hal-03347042, HAL.

    Cited by:

    1. Barceló, Joan & Sheen, Greg Chih-Hsin & Tung, Hans H. & Wu, Wen-Chin, 2022. "Vaccine nationalism among the public: A cross-country experimental evidence of own-country bias towards COVID-19 vaccination," Social Science & Medicine, Elsevier, vol. 310(C).
    2. Luyten, Jeroen & Beutels, Philippe & Vandermeulen, Corinne & Kessels, Roselinde, 2022. "Social preferences for adopting new vaccines in the national immunization program: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 303(C).

  6. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Post-Print hal-03292360, HAL.

    Cited by:

    1. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    2. von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023. "Lie-detection algorithms attract few users but vastly increase accusation rates," TSE Working Papers 23-1448, Toulouse School of Economics (TSE).
    3. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    4. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
    6. Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
    7. Alicia von Schenk & Victor Klockmann & Jean-Franc{c}ois Bonnefon & Iyad Rahwan & Nils Kobis, 2022. "Lie detection algorithms attract few users but vastly increase accusation rates," Papers 2212.04277, arXiv.org.
    8. Lechardoy, Lucie & López Forés, Laura & Codagnone, Cristiano, 2023. "Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277997, International Telecommunications Society (ITS).

  7. Jean-François Bonnefon & Augustin Landier & Parinitha Sastry & David Thesmar, 2020. "Do Investors Care About Corporate Externalities? Experimental Evidence," Working Papers hal-02896496, HAL.

    Cited by:

    1. Eleonora Broccardo & Oliver D. Hart & Luigi Zingales, 2020. "Exit vs. Voice," Working Papers 2020-114, Becker Friedman Institute for Research In Economics.

  8. Jean-François Bonnefon & Fatimah Ishowo-Oloko & Zakariyah Soroye & Jacob W. Crandall & Iyad Rahwan & Tahal Rahwan, 2019. "Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation," Post-Print hal-04121730, HAL.

    Cited by:

    1. Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024. "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers 2401.12773, arXiv.org.
    2. Maggioni, Mario A. & Rossignoli, Domenico, 2023. "If it looks like a human and speaks like a human ... Communication and cooperation in strategic Human–Robot interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    3. Kinga Makovi & Anahit Sargsyan & Wendi Li & Jean-François Bonnefon & Talal Rahwan, 2023. "Trust within human-machine collectives depends on the perceived consensus about cooperative norms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.

  9. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.

    Cited by:

    1. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    2. David Pastor-Escuredo, 2021. "Future of work: ethics," Papers 2104.02580, arXiv.org.
    3. David Pastor-Escuredo & Philip Treleaven, 2021. "Multiscale Governance," Papers 2104.02752, arXiv.org.

  10. Jacob Crandall & Mayada Oudah & Fatimah Ishowo-Oloko Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Post-Print hal-01897802, HAL.
    • Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).

    Cited by:

    1. Köbis, Nils & Bonnefon, Jean-François & Rahwan, Iyad, 2021. "Bad machines corrupt good morals," TSE Working Papers 21-1212, Toulouse School of Economics (TSE).
    2. Shen Yuan & Shaobing Peng, 2017. "Exploring the Trends in Nitrogen Input and Nitrogen Use Efficiency for Agricultural Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    3. Qiming Wang & Tao Zhang & Xinyue He & Rongfeng Jiang, 2017. "Assessment of Phosphorus Recovery from Swine Wastewater in Beijing, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    4. Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
    5. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    6. Marc Bourreau & Carlo Cambini & Steffen Hoernig & Ingo Vogelsang, 2020. "Co-Investment, Uncertainty, and Opportunism: Ex-Ante and Ex-Post Remedies," CESifo Working Paper Series 8078, CESifo.
    7. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    8. Zhiwen Hu & Yiping Cui & Jian Zhang & Jacqueline Eviston-Putsch, 2020. "Shalosh B. Ekhad: a computer credit for mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 71-97, January.
    9. Maggioni, Mario A. & Rossignoli, Domenico, 2023. "If it looks like a human and speaks like a human ... Communication and cooperation in strategic Human–Robot interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    10. Federico Cugurullo & Federico Caprotti & Matthew Cook & Andrew Karvonen & Pauline MᶜGuirk & Simon Marvin, 2024. "The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1168-1182, May.
    11. Joshua Aizenman & Yothin Jinjarak & Huanhuan Zheng, 2015. "Chinese Outwards Mercantilism – the Art and Practice of Bundling," NBER Working Papers 21089, National Bureau of Economic Research, Inc.
    12. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
    13. Hans-Theo Normann & Martin Sternberg, 2021. "Human-Algorithm Interaction: Algorithmic Pricing in Hybrid Laboratory Markets," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_11, Max Planck Institute for Research on Collective Goods, revised 13 Apr 2022.
    14. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    15. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human..," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2101, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    16. Chunfeng Wei & Chuanyu Gao & Dongxue Han & Winston Zhao & Qianxin Lin & Guoping Wang, 2017. "Spatial and Temporal Variations of Water Quality in Songhua River from 2006 to 2015: Implication for Regional Ecological Health and Food Safety," Sustainability, MDPI, vol. 9(9), pages 1-13, August.
    17. Liu, Weimiao & Deng, Tianhu & Li, Jianbin, 2019. "Product packing and stacking under uncertainty: A robust approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 903-917.
    18. Brice Corgnet, 2023. "An Experimental Test of Algorithmic Dismissals," Working Papers 23-02, Chapman University, Economic Science Institute.
    19. Vangelis Papadimitropoulos, 2018. "Reflections on the Contradictions of the Commons," Review of Radical Political Economics, Union for Radical Political Economics, vol. 50(2), pages 317-331, June.
    20. Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
    21. Walwei, Ulrich & Deller, Jürgen, 2021. "Labor Market Participation of Older Workers in International Comparison," IAB-Discussion Paper 202116, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    22. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human ... Dialogue and cooperation in human-robot interactions," Papers 2104.11652, arXiv.org, revised May 2021.
    23. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
    24. János Kramár & Tom Eccles & Ian Gemp & Andrea Tacchetti & Kevin R. McKee & Mateusz Malinowski & Thore Graepel & Yoram Bachrach, 2022. "Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    25. Verginer, Luca & Vaccario, Giacomo & Ronzani, Piero, 2023. "The Robotic Herd: Using Human-Bot Interactions to Explore Irrational Herding," SocArXiv ajusq, Center for Open Science.
    26. Normann, Hans-Theo & Sternberg, Martin, 2022. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," DICE Discussion Papers 392, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    27. Yongle Li & Bangrong Shu & Xiaoping Shi & Yu Zhu, 2017. "Variation of Land-Expropriated Farmers’ Willingness: A Perspective of Employment and Inhabitance," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    28. Normann, Hans-Theo & Sternberg, Martin, 2023. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," European Economic Review, Elsevier, vol. 152(C).
    29. Juntao Fan & Jin Wu & Weijing Kong & Yizhang Zhang & Mengdi Li & Yuan Zhang & Wei Meng & And Mengheng Zhang, 2017. "Predicting Bio-indicators of Aquatic Ecosystems Using the Support Vector Machine Model in the Taizi River, China," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    30. Yi Liu & Yutian Liang & Shiping Ma & Kaixuan Huang, 2017. "Divergent Developmental Trajectories and Strategic Coupling in the Pearl River Delta: Where Is a Sustainable Way of Regional Economic Growth?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    31. Frédéric Marty, 2023. "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," Working Papers halshs-04363106, HAL.

  11. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2017. "Split-second trustworthiness detection from faces in an economic game," Post-Print halshs-01698433, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," Working Papers halshs-02420074, HAL.
    2. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    3. Adam Zylbersztejn & Zaharia Babutsidze & Nobuyuki Hanaki & Astrid Hopfensitz, 2024. "How beautiful people see the world : Cooperativeness judgments of and by beautiful people," Post-Print hal-04357266, HAL.
    4. Jaeger, Bastian & Oud, Bastiaan & Williams, Tony & Krumhuber, Eva G. & Fehr, Ernst & Engelmann, Jan B., 2022. "Can people detect the trustworthiness of strangers based on their facial appearance?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 296-303.

  12. Astrid Hopfensitz & Wim de Neys & Jean-François Bonnefon, 2017. "Can We Detect Cooperators by Looking at Their Face?," Post-Print halshs-01698391, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," Working Papers halshs-02420074, HAL.
    2. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers halshs-02483343, HAL.
    4. Lou Safra & Nicolas Baumard & Valentin Wyart & Coralie Chevallier, 2020. "Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.
    5. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    6. Du, Ninghua & Song, Fei & Cadsby, C. Bram, 2022. "You cannot judge a book by its cover: Evidence from a laboratory experiment on recognizing generosity from facial information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).

  13. Sylvie Borau & Jean-François Bonnefon, 2017. "The advertising performance of non-ideal female models as a function of viewers' body mass index: a moderated mediation analysis of two competing affective pathways," Post-Print halshs-01698396, HAL.

    Cited by:

    1. Plotkina, Daria & Saurel, Hélène, 2019. "Me or just like me? The role of virtual try-on and physical appearance in apparel M-retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 362-377.
    2. Safaa Adil & Ahmad Mostafa Abdeltawab & Danielle Lecointre-Erickson, 2021. "The Effectiveness of Model’s Body Size in Digital and Print Advertisements," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 13(3), pages 1-1, December.
    3. Sylvie Borau & Jean-François Bonnefon, 2019. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Journal of Business Ethics, Springer, vol. 157(1), pages 45-63, June.

  14. Sylvie Borau & Jean-François Bonnefon, 2017. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Post-Print halshs-01698409, HAL.

    Cited by:

    1. de Kerviler, Gwarlann & Ardelet, Caroline & Slavich, Barbara, 2022. "Ethical judgments of sexualized ads featuring Women: The role of identification with feminine archetypes," Journal of Business Research, Elsevier, vol. 142(C), pages 899-913.
    2. Vassiliki Grougiou & George Balabanis & Danae Manika, 2020. "Does Humour Influence Perceptions of the Ethicality of Female-Disparaging Advertising?," Journal of Business Ethics, Springer, vol. 164(1), pages 1-16, June.

  15. Jean-François Bonnefon & Astrid Hopfensitz & Wim de Neys, 2015. "Face-ism and kernels of truth in facial inferences," Post-Print halshs-01400233, HAL.

    Cited by:

    1. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.

  16. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," Working Papers halshs-02420074, HAL.
    2. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers halshs-02483343, HAL.
    4. Non, Arjan, 2018. "Training participation and the role of reciprocal attitudes," Research Memorandum 024, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. Dilger, Alexander & Müller, Julia & Müller, Michael, 2017. "Is trustworthiness written on the face?," Discussion Papers of the Institute for Organisational Economics 2/2017, University of Münster, Institute for Organisational Economics.
    6. Du, Ninghua & Song, Fei & Cadsby, C. Bram, 2022. "You cannot judge a book by its cover: Evidence from a laboratory experiment on recognizing generosity from facial information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    7. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki & Marie-Sophie Roul, 2024. "Anonymity, nonverbal communication and prosociality in digitized interactions: An experiment on charitable giving," Working Papers 2402, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.

  17. Marco Heimann & Etienne Mullet & Jean-François Bonnefon, 2015. "Peoples’ Views About the Acceptability of Executive Bonuses and Compensation Policies," Post-Print halshs-01398420, HAL.

    Cited by:

    1. Jen-Shou Yang & Li-Ching Tsai, 2023. "The moderating effects of trustor characteristics and the cost of being trusted on the relationship between felt trust and OCB intention," Review of Managerial Science, Springer, vol. 17(7), pages 2417-2441, October.
    2. Joana Margarida Sequeira Neto & Etienne Mullet, 2018. "Perceived Acceptability of Organizational Layoffs and Job Alliances During a Recession: A Mapping of Portuguese People’s Views," Journal of Business Ethics, Springer, vol. 152(4), pages 1149-1157, November.
    3. Egor Evdokimov & Dean Hanlon & Edwin KiaYang Lim, 2022. "Do Generalist CEOs Magnify Boardroom Backscratching?," Journal of Business Ethics, Springer, vol. 181(1), pages 221-247, November.

  18. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2013. "Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection," TSE Working Papers 13-385, Toulouse School of Economics (TSE).

    Cited by:

    1. Brañas-Garza, Pablo & Espín, Antonio M. & Garcia, Teresa & Kovářík, Jaromír, 2018. "Digit ratio (2D:4D) predicts pro-social behavior in economic games only for unsatisfied individuals," MPRA Paper 86166, University Library of Munich, Germany.
    2. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.
    3. Jaeger, Bastian & Oud, Bastiaan & Williams, Tony & Krumhuber, Eva G. & Fehr, Ernst & Engelmann, Jan B., 2022. "Can people detect the trustworthiness of strangers based on their facial appearance?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 296-303.
    4. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).

  19. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2012. "The Modular Nature of Trustworthiness Detection," TSE Working Papers 12-311, Toulouse School of Economics (TSE).

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2021. "Predicting trustworthiness across cultures: An experiment," SciencePo Working papers Main hal-03432600, HAL.
    2. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," Working Papers halshs-02420074, HAL.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers halshs-02483343, HAL.
    5. Chen, Daniel & Hopfensitz, Astrid & van Leeuwen, Boris & van de Ven, Jeroen, 2019. "The Strategic Display of Emotions," Discussion Paper 2019-014, Tilburg University, Center for Economic Research.
    6. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2013. "Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection," TSE Working Papers 13-385, Toulouse School of Economics (TSE).
    7. Rassenti, Stephen & Espin, Antonio M. & Kujal, Praveen, 2017. "Humans’ (incorrect) distrust of reflective decisions," CEPR Discussion Papers 11949, C.E.P.R. Discussion Papers.
    8. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    9. Antonio Cabrales & Antonio M. Espin & Praveen Kujal & Stephen Rassenti, 2021. "Trustors' Disregard for Trustees Deciding Intuitively or Reflectively: Three Experiments on Time Constraints," Working Papers 21-08, Chapman University, Economic Science Institute.
    10. Antonio Cabrales & Antonio M. Espín & Praveen Kujal & Stephen Rassenti, 2017. "Humans’ (incorrect) distrust of reflective decisions," Working Papers 17-05, Chapman University, Economic Science Institute.
    11. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.
    12. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).

Articles

  1. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    See citations under working paper version above.
  2. Raymond Duch & Laurence S. J. Roope & Mara Violato & Matias Fuentes Becerra & Thomas S. Robinson & Jean-Francois Bonnefon & Jorge Friedman & Peter John Loewen & Pavan Mamidi & Alessia Melegaro & Maria, 2021. "Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(38), pages 2026382118-, September.
    See citations under working paper version above.
  3. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2020. "Reply to: Life and death decisions of autonomous vehicles," Nature, Nature, vol. 579(7797), pages 3-5, March.

    Cited by:

    1. Krügel, Sebastian & Uhl, Matthias, 2022. "Autonomous vehicles and moral judgments under risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 1-10.

  4. Borau, Sylvie & Bonnefon, Jean-François, 2020. "Gendered products act as the extended phenotype of human sexual dimorphism: They increase physical attractiveness and desirability," Journal of Business Research, Elsevier, vol. 120(C), pages 498-508.

    Cited by:

    1. Otterbring, Tobias & Bhatnagar, Roopali & Samuelsson, Peter & Borau, Sylvie, 2021. "Positive gender congruency effects on shopper responses: Field evidence from a gender egalitarian culture," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).

  5. Edmond Awad & Sydney Levine & Max Kleiman-Weiner & Sohan Dsouza & Joshua B. Tenenbaum & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2020. "Drivers are blamed more than their automated cars when both make mistakes," Nature Human Behaviour, Nature, vol. 4(2), pages 134-143, February.

    Cited by:

    1. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    2. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Control and Responsibility: Shifting Blame to the User?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Cai, Yunhao & Jing, Peng & Wang, Baihui & Jiang, Chengxi & Wang, Yuan, 2023. "How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).

  6. Iyad Rahwan & Jacob W. Crandall & Jean-François Bonnefon, 2020. "Intelligent machines as social catalysts," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(14), pages 7555-7557, April.

    Cited by:

    1. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    2. Anna Karpova & Aleksei Savelev & Alexander Vilnin & Sergey Kuznetsov, 2022. "Method for Detecting Far-Right Extremist Communities on Social Media," Social Sciences, MDPI, vol. 11(5), pages 1-19, May.

  7. Sylvie Borau & Jean-François Bonnefon, 2019. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Journal of Business Ethics, Springer, vol. 157(1), pages 45-63, June.
    See citations under working paper version above.
  8. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.
    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    See citations under working paper version above.
  9. Maxime Derex & Jean-François Bonnefon & Robert Boyd & Alex Mesoudi, 2019. "Causal understanding is not necessary for the improvement of culturally evolving technology," Nature Human Behaviour, Nature, vol. 3(5), pages 446-452, May.

    Cited by:

    1. Noblit, Graham Alexander & Hadfield, Gillian, 2023. "Normative Conflict and Normative Change," SocArXiv tvg7b, Center for Open Science.
    2. Ingela Alger & Slimane Dridi & Jonathan Stieglitz & Michael Wilson, 2022. "The evolution of early hominin food production and sharing," Working Papers hal-03676885, HAL.
    3. Alexandre Bluet & François Osiurak & Nicolas Claidière & Emanuelle Reynaud, 2022. "Impact of technical reasoning and theory of mind on cumulative technological culture: insights from a model of micro-societies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    4. E. Reindl & A. L. Gwilliams & L. G. Dean & R. L. Kendal & C. Tennie, 2020. "Skills and motivations underlying children’s cumulative cultural learning: case not closed," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-9, December.
    5. Przepiorka, Wojtek, 2023. "Laboratory experiments," SocArXiv 9cxq2, Center for Open Science.

  10. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.

    Cited by:

    1. William N. Caballero & Roi Naveiro & David Ríos Insua, 2022. "Modeling Ethical and Operational Preferences in Automated Driving Systems," Decision Analysis, INFORMS, vol. 19(1), pages 21-43, March.
    2. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    3. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
    4. Qian, Lixian & Yin, Juelin & Huang, Youlin & Liang, Ya, 2023. "The role of values and ethics in influencing consumers’ intention to use autonomous vehicle hailing services," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    5. Fink, Matthias & Maresch, Daniela & Gartner, Johannes, 2023. "Programmed to do good: The categorical imperative as a key to moral behavior of social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    7. Federico Boffa & Alessandro Fedele & Alberto Iozzi, 2020. "Congestion and Incentives in the Age of Driverless Fleets," BEMPS - Bozen Economics & Management Paper Series BEMPS67, Faculty of Economics and Management at the Free University of Bozen.
    8. Yulia Sullivan & Marc Bourmont & Mary Dunaway, 2022. "Appraisals of harms and injustice trigger an eerie feeling that decreases trust in artificial intelligence systems," Annals of Operations Research, Springer, vol. 308(1), pages 525-548, January.
    9. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    10. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022. "Artificial intelligence, ethics, and diffused pivotality," SAFE Working Paper Series 336, Leibniz Institute for Financial Research SAFE.
    11. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    12. Scott Claessens & Thanos Kyritsis & Quentin D. Atkinson, 2023. "Cross-national analyses require additional controls to account for the non-independence of nations," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    13. Kassens-Noor, Eva & Cai, Meng & Kotval-Karamchandani, Zeenat & Decaminada, Travis, 2021. "Autonomous vehicles and mobility for people with special needs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 385-397.
    14. Steve J. Bickley & Benno Torgler, 2021. "Cognitive Architectures for Artificial Intelligence Ethics," CREMA Working Paper Series 2021-27, Center for Research in Economics, Management and the Arts (CREMA).
    15. Joanna Sleigh & Shannon Hubbs & Alessandro Blasimme & Effy Vayena, 2024. "Can digital tools foster ethical deliberation?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    16. Mordue, Greig & Yeung, Anders & Wu, Fan, 2020. "The looming challenges of regulating high level autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 174-187.
    17. Du, Manqing & Zhang, Tingru & Liu, Jinting & Xu, Zhigang & Liu, Peng, 2022. "Rumors in the air? Exploring public misconceptions about automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 237-252.
    18. Wolfgang Habla & Mitesh Kataria & Peter Martinsson & Kerstin Roeder, 2024. "Should it stay, or swerve? Trading off lives in dilemma situations involving autonomous cars," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 929-951, May.
    19. Federico Cugurullo & Federico Caprotti & Matthew Cook & Andrew Karvonen & Pauline MᶜGuirk & Simon Marvin, 2024. "The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1168-1182, May.
    20. Mannucci, Pier Vittorio & Shalley, Christina E., 2022. "Embracing multicultural tensions: How team members’ multicultural paradox mindsets foster team information elaboration and creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).
    21. Kaye, Sherrie-Anne & Buckley, Lisa & Rakotonirainy, Andry & Delhomme, Patricia, 2019. "An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report," Transport Policy, Elsevier, vol. 81(C), pages 275-281.
    22. Rejali, Sina & Aghabayk, Kayvan & Esmaeli, Saeed & Shiwakoti, Nirajan, 2023. "Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    23. Rostislav Staněk & Ondřej Krčál & Katarína Čellárová, 2021. "Pull yourself up by your bootstraps: Identifying procedural preferences against helping others in the presence of moral hazard," MUNI ECON Working Papers 2021-11, Masaryk University, revised Feb 2023.
    24. MARTENS, David, 2020. "FAT Flow: A data science ethics framework," Working Papers 2020004, University of Antwerp, Faculty of Business and Economics.
    25. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    26. Sarah Spiekermann & Hanna Krasnova & Oliver Hinz & Annika Baumann & Alexander Benlian & Henner Gimpel & Irina Heimbach & Antonia Köster & Alexander Maedche & Björn Niehaves & Marten Risius & Manuel Tr, 2022. "Values and Ethics in Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 247-264, April.
    27. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    28. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    29. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    30. Bence Bago & Marton Kovacs & John Protzko & Tamas Nagy & Zoltan Kekecs & Bence Palfi & Matus Adamkovic & Sylwia Adamus & Sumaya Albalooshi & Nihan Albayrak-Aydemir & Ilham N. Alfian & Sinan Alper & Sa, 2022. "Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample," Nature Human Behaviour, Nature, vol. 6(6), pages 880-895, June.
    31. Mamak, Kamil & Glanc, Jadwiga, 2022. "Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation," Technology in Society, Elsevier, vol. 71(C).
    32. Kinga Makovi & Anahit Sargsyan & Wendi Li & Jean-François Bonnefon & Talal Rahwan, 2023. "Trust within human-machine collectives depends on the perceived consensus about cooperative norms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    33. Janssen, Patrick & Sadowski, Bert M., 2021. "Bias in Algorithms: On the trade-off between accuracy and fairness," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238032, International Telecommunications Society (ITS).
    34. Heinz, Nicolai & Koessler, Ann-Kathrin, 2021. "Other-regarding preferences and pro-environmental behaviour: An interdisciplinary review of experimental studies," EconStor Preprints 228467, ZBW - Leibniz Information Centre for Economics.
    35. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    36. Krügel, Sebastian & Uhl, Matthias, 2022. "Autonomous vehicles and moral judgments under risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 1-10.
    37. Arias-Oliva, Mario & Pelegrín-Borondo, Jorge & Lara-Palma, Ana María & Juaneda-Ayensa, Emma, 2020. "Emerging cyborg products: An ethical market approach for market segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    38. Matus, Kira & Veale, Michael, 2021. "Certification Systems for Machine Learning: Lessons from Sustainability," SocArXiv pm3wy, Center for Open Science.
    39. Jake B. Telkamp & Marc H. Anderson, 2022. "The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 961-976, July.
    40. Kai Jia & Nan Zhang, 2022. "Categorization and eccentricity of AI risks: a comparative study of the global AI guidelines," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 59-71, March.
    41. Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
    42. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    43. Anne-Marie Nussberger & Lan Luo & L. Elisa Celis & M. J. Crockett, 2022. "Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    44. Frederic René Hopp & Jacob Taylor Fisher & René Weber, 2020. "A Graph-Learning Approach for Detecting Moral Conflict in Movie Scripts," Media and Communication, Cogitatio Press, vol. 8(3), pages 164-179.
    45. Crisanta-Alina Mazilescu & Laurent Auzoult-Chagnault & Loredana Ileana Viscu & Bernard Gangloff, 2021. "Student Perception of the Social Value of Responsible Management," Societies, MDPI, vol. 11(1), pages 1-17, February.
    46. Davies, Elwyn & Fafchamps, Marcel, 2021. "When no bad deed goes punished: Relational contracting in Ghana and the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 714-737.
    47. Christian T. Elbaek & Ifeatu Uzodinma & Zilia Ismagilova & Panagiotis Mitkidis, 2022. "Suppetia ex machina: How can AI technologies aid financial decision-making of people with low socioeconomic status?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 49-57, July.
    48. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    49. Kira J.M. Matus & Michael Veale, 2022. "Certification systems for machine learning: Lessons from sustainability," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 177-196, January.
    50. Christoph Lütge & Franziska Poszler & Aida Joaquin Acosta & David Danks & Gail Gottehrer & Lucian Mihet-Popa & Aisha Naseer, 2021. "AI4People: Ethical Guidelines for the Automotive Sector – Fundamental Requirements and Practical Recommendations," International Journal of Technoethics (IJT), IGI Global, vol. 12(1), pages 101-125, January.
    51. Luzuriaga, Miguel & Heras, Antonio & Kunze, Oliver, 2020. "Hurting Others versus Hurting Myself, a Dilemma for Our Autonomous Vehicle," Review of Behavioral Economics, now publishers, vol. 7(1), pages 1-30, March.

  11. Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).
    • Jacob Crandall & Mayada Oudah & Fatimah Ishowo-Oloko Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Post-Print hal-01897802, HAL.
    See citations under working paper version above.
  12. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2017. "Psychological roadblocks to the adoption of self-driving vehicles," Nature Human Behaviour, Nature, vol. 1(10), pages 694-696, October.

    Cited by:

    1. Lindgren, Thomas & Pink, Sarah & Fors, Vaike, 2021. "Fore-sighting autonomous driving - An Ethnographic approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Qian, Lixian & Yin, Juelin & Huang, Youlin & Liang, Ya, 2023. "The role of values and ethics in influencing consumers’ intention to use autonomous vehicle hailing services," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    4. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Mordue, Greig & Yeung, Anders & Wu, Fan, 2020. "The looming challenges of regulating high level autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 174-187.
    6. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2021. "How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars," Post-Print hal-03236635, HAL.
    7. Sunbin YOO & KUMAGAI Junya & KAWABATA Yuta & MANAGI Shunsuke, 2022. "Achieving Inclusive Transportation: Fully Automated Vehicles with Social Support," Discussion papers 22017, Research Institute of Economy, Trade and Industry (RIETI).
    8. Jing, Peng & Wang, Baihui & Cai, Yunhao & Wang, Bichen & Huang, Jiahui & Yang, Chenglu & Jiang, Chengxi, 2023. "What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    9. Burak Can Altay & Abdullah Erdem Boztas & Abdullah Okumuş & Muhammet Gul & Erkan Çelik, 2023. "How Will Autonomous Vehicles Decide in Case of an Accident? An Interval Type-2 Fuzzy Best–Worst Method for Weighting the Criteria from Moral Values Point of View," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    10. Kenichiro Chinen & Yang Sun & Mitsutaka Matsumoto & Yoon-Young Chun, 2020. "Towards a Sustainable Society through Emerging Mobility Services: A Case of Autonomous Buses," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    11. Rejali, Sina & Aghabayk, Kayvan & Esmaeli, Saeed & Shiwakoti, Nirajan, 2023. "Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    12. Monika Stoma & Agnieszka Dudziak & Jacek Caban & Paweł Droździel, 2021. "The Future of Autonomous Vehicles in the Opinion of Automotive Market Users," Energies, MDPI, vol. 14(16), pages 1-19, August.
    13. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    14. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Yan, Yingying & Zhong, Shiquan & Tian, Junfang & Li, Tong, 2022. "Continuance intention of autonomous buses: An empirical analysis based on passenger experience," Transport Policy, Elsevier, vol. 126(C), pages 85-95.
    16. Arto O Salonen & Noora Haavisto, 2019. "Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    17. Fatemeh Nazari & Yellitza Soto & Mohamadhossein Noruzoliaee, 2023. "Privately-Owned versus Shared Automated Vehicle: The Roles of Utilitarian and Hedonic Beliefs," Papers 2309.03283, arXiv.org.
    18. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Amalia Polydoropoulou & Athena Tsirimpa & Ioannis Karakikes & Ioannis Tsouros & Ioanna Pagoni, 2022. "Mode Choice Modeling for Sustainable Last-Mile Delivery: The Greek Perspective," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    20. Armando Cartenì & Ilaria Henke & Clorinda Molitierno & Luigi Di Francesco, 2020. "Strong Sustainability in Public Transport Policies: An e-Mobility Bus Fleet Application in Sorrento Peninsula (Italy)," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    21. Weixi Ren & Bo Yu & Yuren Chen & Kun Gao, 2022. "Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach," IJERPH, MDPI, vol. 19(18), pages 1-22, September.
    22. Liu, Peng & Ma, Yanjiao & Zuo, Yaqing, 2019. "Self-driving vehicles: Are people willing to trade risks for environmental benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 139-149.
    23. Agnieszka Dudziak & Monika Stoma & Andrzej Kuranc & Jacek Caban, 2021. "Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland," Energies, MDPI, vol. 14(18), pages 1-16, September.
    24. Lars Meyer-Waarden & Julien Cloarec, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Post-Print hal-03385891, HAL.
    25. Yukari Jessica Tham & Takaaki Hashimoto & Kaori Karasawa, 2022. "Underlying dimensions of benefit and risk perception and their effects on people’s acceptance of conditionally/fully automated vehicles," Transportation, Springer, vol. 49(6), pages 1715-1736, December.
    26. Sun, Baofeng & Ma, Guodong & Song, Jia & Cheng, Zeyang & Wang, Wei, 2023. "Driving safety field modeling focused on heterogeneous traffic flows and cooperative control strategy in highway merging zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    27. Sovacool, Benjamin K. & Griffiths, Steve, 2020. "The cultural barriers to a low-carbon future: A review of six mobility and energy transitions across 28 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    28. Samadzad, Mahdi & Nosratzadeh, Hossein & Karami, Hossein & Karami, Ali, 2023. "What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?," Transport Policy, Elsevier, vol. 136(C), pages 70-82.
    29. Jack Stilgoe & Tom Cohen, 2021. "Rejecting acceptance: learning from public dialogue on self-driving vehicles [Crowdsourcing Moral Machines]," Science and Public Policy, Oxford University Press, vol. 48(6), pages 849-859.
    30. Winter, Scott R. & Rice, Stephen & Lamb, Tracy L., 2020. "A prediction model of Consumer's willingness to fly in autonomous air taxis," Journal of Air Transport Management, Elsevier, vol. 89(C).
    31. O'Shaughnessy, Matthew & Schiff, Daniel & Varshney, Lav R. & Rozell, Christopher & Davenport, Mark, 2021. "What governs attitudes toward artificial intelligence adoption and governance?," OSF Preprints pkeb8, Center for Open Science.

  13. De Neys, Wim & Hopfensitz, Astrid & Bonnefon, Jean-François, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Journal of Economic Psychology, Elsevier, vol. 47(C), pages 17-22.
    See citations under working paper version above.
  14. Marco Heimann & Étienne Mullet & Jean-François Bonnefon, 2015. "Peoples’ Views About the Acceptability of Executive Bonuses and Compensation Policies," Journal of Business Ethics, Springer, vol. 127(3), pages 661-671, March.
    See citations under working paper version above.
  15. Stefania Pighin & Lucia Savadori & Elisa Barilli & Laura Cremonesi & Maurizio Ferrari & Jean-François Bonnefon, 2011. "The 1-in-X Effect on the Subjective Assessment of Medical Probabilities," Medical Decision Making, , vol. 31(5), pages 721-729, September.

    Cited by:

    1. Suk, Kwanho & Hwang, Sanyoung & Jeong, Yunjoo, 2022. "The 1-in-X effect in perceptions of risk likelihood differences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
    2. Stefania Pighin & Lucia Savadori & Elisa Barilli & Rino Rumiati & Sara Bonalumi & Maurizio Ferrari & Laura Cremonesi, 2013. "Using Comparison Scenarios to Improve Prenatal Risk Communication," Medical Decision Making, , vol. 33(1), pages 48-58, January.
    3. Miroslav Sirota & Marie Juanchich & Olga Kostopoulou & Robert Hanak, 2014. "Decisive Evidence on a Smaller-Than-You-Think Phenomenon," Medical Decision Making, , vol. 34(4), pages 419-429, May.
    4. Jurriaan P. Oudhoff & Daniëlle R. M. Timmermans, 2015. "The Effect of Different Graphical and Numerical Likelihood Formats on Perception of Likelihood and Choice," Medical Decision Making, , vol. 35(4), pages 487-500, May.
    5. Miroslav Sirota & Marie Juanchich & Dafina Petrova & Rocio Garcia-Retamero & Lukasz Walasek & Sudeep Bhatia, 2018. "Health Professionals Prefer to Communicate Risk-Related Numerical Information Using “1-in-X†Ratios," Medical Decision Making, , vol. 38(3), pages 366-376, April.
    6. Miroslav Sirota & Marie Juanchich, 2019. "Ratio Format Shapes Health Decisions: The Practical Significance of the “1-in-X†Effect," Medical Decision Making, , vol. 39(1), pages 32-40, January.
    7. Brian J. Zikmund-Fisher, 2011. "Time to Retire the 1-in-X Risk Format," Medical Decision Making, , vol. 31(5), pages 703-704, September.
    8. Brian J. Zikmund-Fisher, 2014. "Continued Use of 1-in-X Risk Communications Is a Systemic Problem," Medical Decision Making, , vol. 34(4), pages 412-413, May.

  16. Jean-François Bonnefon, 2010. "Behavioral evidence for framing effects in the resolution of the doctrinal paradox," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 34(4), pages 631-641, April.

    Cited by:

    1. Takuya Sekiguchi, 2019. "Preferences over procedures and outcomes in judgment aggregation: an experimental study," Theory and Decision, Springer, vol. 86(2), pages 239-258, March.
    2. Takuya Sekiguchi & Hisashi Ohtsuki, 2023. "Aggregation of Correlated Judgments on Multiple Interconnected Issues," Group Decision and Negotiation, Springer, vol. 32(1), pages 233-256, February.
    3. Aureli Alabert & Mercè Farré, 2022. "The doctrinal paradox: comparison of decision rules in a probabilistic framework," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(4), pages 863-895, May.
    4. Takuya Sekiguchi, 2023. "Voting Records as Assessors of Premises Behind Collective Decisions," Group Decision and Negotiation, Springer, vol. 32(2), pages 257-275, April.

  17. Jean-François Bonnefon & Didier Dubois & Hélène Fargier & Sylvie Leblois, 2008. "Qualitative Heuristics For Balancing the Pros and Cons," Theory and Decision, Springer, vol. 65(1), pages 71-95, August.

    Cited by:

    1. Reimann, Olivier & Schumacher, Christian & Vetschera, Rudolf, 2017. "How well does the OWA operator represent real preferences?," European Journal of Operational Research, Elsevier, vol. 258(3), pages 993-1003.

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