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Report NEP-AIN-2023-06-26
This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Pletcher, Scott Nicholas, 2023, "Practical and Ethical Perspectives on AI-Based Employee Performance Evaluation," OSF Preprints, Center for Open Science, number 29yej, Apr, DOI: 10.31219/osf.io/29yej.
- Veale, Michael & Matus, Kira & Gorwa, Robert, 2023, "AI and Global Governance: Modalities, Rationales, Tensions," SocArXiv, Center for Open Science, number ubxgk, May, DOI: 10.31219/osf.io/ubxgk.
- Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022, "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef, number 6.
- Hirsch, Felix & Alizadeh, Armin & Wiener, Martin & Cram, W. Alec, 2023, "Algorithmic Control in Platform and Traditional Work Settings: An Updated Conceptual Framework," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138131.
- Alizadeh, Armin & Hirsch, Felix & Benlian, Alexander & Wiener, Martin & Cram, W. Alec, 2023, "Perceived Algorithmic Control: Conceptualization and Scale Development," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138128.
- Cobbe, Jennifer & Veale, Michael & Singh, Jatinder, 2023, "Understanding Accountability in Algorithmic Supply Chains," SocArXiv, Center for Open Science, number p4sey, Apr, DOI: 10.31219/osf.io/p4sey.
- Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023, "Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data," SocArXiv, Center for Open Science, number z8xta, May, DOI: 10.31219/osf.io/z8xta.
- Michael Allan Ribers & Hannes Ullrich, 2023, "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers, Berlin School of Economics, number 0019, Jun, DOI: 10.48462/opus4-4976.
- Sinan Deng & John Inekwe & Vladimir Smirnov & Andrew Wait & Chao Wang, 2023, "Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices," Working Papers, University of Sydney, School of Economics, number 2023-03, Jun.