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.

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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 29yej, Center for Open Science.
• Veale, Michael & Matus, Kira & Gorwa, Robert, 2023. "AI and Global Governance: Modalities, Rationales, Tensions," SocArXiv ubxgk, Center for Open Science.
• Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022. "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers 6, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
• 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) 138131, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• 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) 138128, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Cobbe, Jennifer & Veale, Michael & Singh, Jatinder, 2023. "Understanding Accountability in Algorithmic Supply Chains," SocArXiv p4sey, Center for Open Science.
• Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data," SocArXiv z8xta, Center for Open Science.
• Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
• Sinan Deng & John Inekwe & Vladimir Smirnov & Andrew Wait & Chao Wang, 2023. "Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices," Working Papers 2023-03, University of Sydney, School of Economics.