IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v65y2023i6d10.1007_s12599-023-00817-8.html
   My bibliography  Save this article

Algorithmic Accountability

Author

Listed:
  • David Horneber

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Sven Laumer

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Abstract

No abstract is available for this item.

Suggested Citation

  • David Horneber & Sven Laumer, 2023. "Algorithmic Accountability," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(6), pages 723-730, December.
    • Handle: RePEc:spr:binfse:v:65:y:2023:i:6:d:10.1007_s12599-023-00817-8
    DOI: 10.1007/s12599-023-00817-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-023-00817-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-023-00817-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lobschat, Lara & Mueller, Benjamin & Eggers, Felix & Brandimarte, Laura & Diefenbach, Sarah & Kroschke, Mirja & Wirtz, Jochen, 2021. "Corporate digital responsibility," Journal of Business Research, Elsevier, vol. 122(C), pages 875-888.
    2. Labrecque, Lauren I. & vor dem Esche, Jonas & Mathwick, Charla & Novak, Thomas P. & Hofacker, Charles F., 2013. "Consumer Power: Evolution in the Digital Age," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 257-269.
    3. repec:osf:socarx:pm3wy_v1 is not listed on IDEAS
    4. 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.
    5. Laura Blattner & Scott Nelson, 2021. "How Costly is Noise? Data and Disparities in Consumer Credit," Papers 2105.07554, arXiv.org.
    6. Alexander Buhmann & Johannes Paßmann & Christian Fieseler, 2020. "Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies, and the Potential of Rational Discourse," Journal of Business Ethics, Springer, vol. 163(2), pages 265-280, May.
    7. Blattner, Laura & Nelson, Scott, 2021. "How Costly Is Noise? Data and Disparities in Consumer Credit," Research Papers 3978, Stanford University, Graduate School of Business.
    8. Kirsten Martin, 2019. "Ethical Implications and Accountability of Algorithms," Journal of Business Ethics, Springer, vol. 160(4), pages 835-850, December.
    9. Nima Kordzadeh & Maryam Ghasemaghaei, 2022. "Algorithmic bias: review, synthesis, and future research directions," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 388-409, May.
    10. Benjamin Mueller, 2022. "Corporate Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 689-700, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vitaly Meursault & Daniel Moulton & Larry Santucci & Nathan Schor, 2022. "One Threshold Doesn’t Fit All: Tailoring Machine Learning Predictions of Consumer Default for Lower-Income Areas," Working Papers 22-39, Federal Reserve Bank of Philadelphia.
    2. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    3. Hurtado, Agustin & Sakong, Jung, 2022. "The effect of minority bank ownership on minority credit," Working Papers 325, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Stefania Albanesi & Domonkos F. Vamossy, 2024. "Credit Scores: Performance and Equity," NBER Working Papers 32917, National Bureau of Economic Research, Inc.
    5. Sabrina T. Howell & Theresa Kuchler & David Snitkof & Johannes Stroebel & Jun Wong, 2024. "Lender Automation and Racial Disparities in Credit Access," Journal of Finance, American Finance Association, vol. 79(2), pages 1457-1512, April.
    6. Eglė Jakučionytė & Swapnil Singh, 2023. "Emergence of subprime lending in minority neighborhoods," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(6), pages 1547-1583, November.
    7. Ströbel, Johannes & Howell, Sabrina & Kuchler, Theresa & Snitkof, David, 2021. "Racial Disparities in Access to Small Business Credit: Evidence from the Paycheck Protection Program," CEPR Discussion Papers 16623, C.E.P.R. Discussion Papers.
    8. Peter Seele & Mario D. Schultz, 2022. "From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy," Journal of Business Ethics, Springer, vol. 178(4), pages 1063-1089, July.
    9. Greenwald, Daniel L. & Howell, Sabrina T. & Li, Cangyuan & Yimfor, Emmanuel, 2024. "Regulatory arbitrage or random errors? Implications of race prediction algorithms in fair lending analysis," Journal of Financial Economics, Elsevier, vol. 157(C).
    10. Cusato, Antonio & Castillo, José Luis & IDB Invest, 2023. "Access to Credit and the Expansion of Broadband Internet in Peru," IDB Publications (Working Papers) 12922, Inter-American Development Bank.
    11. Langenbucher, Katja, 2022. "Consumer credit in the age of AI: Beyond anti-discrimination law," LawFin Working Paper Series 42, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    12. Dirk Ulrich Gilbert & Stephanie Schrage & Michael Behnam, 2024. "Advancing the Moral legitimacy of digital platforms as gatekeepers: a critical analysis from a political corporate social responsibility perspective," Journal of Business Economics, Springer, vol. 94(7), pages 1115-1145, October.
    13. Subhadeep Mukhopadhyay, 2021. "InfoGram and Admissible Machine Learning," Papers 2108.07380, arXiv.org, revised Aug 2021.
    14. Langenbucher, Katja, 2022. "Consumer credit in the age of AI: Beyond anti-discrimination law," SAFE Working Paper Series 369, Leibniz Institute for Financial Research SAFE.
    15. Yang, Hui & Li, Dan & Hu, Peng, 2024. "Decoding algorithm fatigue: The role of algorithmic literacy, information cocoons, and algorithmic opacity," Technology in Society, Elsevier, vol. 79(C).
    16. Zsófia Tóth & Robert Caruana & Thorsten Gruber & Claudia Loebbecke, 2022. "The Dawn of the AI Robots: Towards a New Framework of AI Robot Accountability," Journal of Business Ethics, Springer, vol. 178(4), pages 895-916, July.
    17. Alina Köchling & Marius Claus Wehner & Sascha Alexander Ruhle, 2025. "This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems," Review of Managerial Science, Springer, vol. 19(4), pages 1195-1228, April.
    18. Nicholas Tenev, 2024. "De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data," Papers 2405.00910, arXiv.org.
    19. Florian Pethig & Julia Kroenung, 2023. "Biased Humans, (Un)Biased Algorithms?," Journal of Business Ethics, Springer, vol. 183(3), pages 637-652, March.
    20. Covucci, Claudia & Confetto, Maria Giovanna & Ključnikov, Aleksandr & Panait, Mirela, 2024. "Unrevealing the nexus between digital sustainability and corporate digital responsibility: A dual-track systematic literature review towards a framework of corporate digital sustainability," Technology in Society, Elsevier, vol. 79(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:65:y:2023:i:6:d:10.1007_s12599-023-00817-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.