Suggested Readings

Works selected to build a common understanding on the main topics of the workshop.

Ethical and Philosophical Debates on Algorithmic Authority

• Ferrario, A., Facchini, A., and Termine, A. Experts or authorities? the strange case of the presumed epistemic superiority of artificial intelligence systems. Minds and Machines (2024).

• Ienca, M. (2023). On artificial intelligence and manipulation. Topoi, 42(3), 833-842. 

• Airoldi, M. (2023). Computational Authority in Platform Society: Dimensions of Power in Machine Learning. In C. Borch, J.P. Pardo-Guerra (eds), The Oxford Handbook of the Sociology of Machine Learning. 

• Lustig, C., Pine, K., Nardi, B., Irani, L., Lee, M. K., Nafus, D., & Sandvig, C. (2016, May). Algorithmic authority: the ethics, politics, and economics of algorithms that interpret, decide, and manage. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1057-1062).

Metrics and Evaluation Startegies for Technology Dominance

• Cabitza, F., Campagner, A., Angius, R., Natali, C., Reverberi, C. (2023). AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making. In CHI ’23: the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, April 23–28, 2023, Hamburg, Germany.

• Arnold, V., & Sutton, S. G. (1998). The theory of technology dominance: Understanding the impact of intelligent decision aids on decision maker’s judgments. Advances in accounting behavioral research, 1(3), 175-194.

• Sutton, S. G., Arnold, V., & Holt, M. (2023). An extension of the theory of technology dominance: Capturing the underlying causal complexity. International Journal of Accounting Information Systems, 50, 100626.

Calibration of Appropriate Trust in AI

• Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., ... & Weld, D. (2021). Does the whole exceed its parts? the effect of AI explanations on complementary team performance. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-16). 

• Cabitza, F., Campagner, A., Ronzio, L., Cameli, M., Mandoli, G. E., Pastore, M. C., ... & Gamboa, H. (2023). Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis. Artificial Intelligence in Medicine, 138, 102506.

• Cabitza, F., Campagner, A., Natali, C., Parimbelli, E., Ronzio, L., & Cameli, M. (2023). Painting the black box white: experimental findings from applying XAI to an ECG reading setting. Machine Learning and Knowledge Extraction, 5(1), 269-286.

• Schemmer, M., Kuehl, N., Benz, C., Bartos, A., & Satzger, G. (2023). Appropriate reliance on AI advice: Conceptualization and the effect of explanations. In Proceedings of the 28th International Conference on Intelligent User Interfaces (pp. 410-422)

Case studies and implications of algorithmic authority in specific domains

• Ferrario, A., & Biller-Andorno, N. (2024). Large language models in medical ethics: useful but not expert. Journal of Medical Ethics.

• Starke, G., & Ienca, M. (2022). Misplaced trust and distrust: how not to engage with medical artificial intelligence. Cambridge Quarterly of Healthcare Ethics, 1-10.

• van Liempd, D., Theis, J. C., & Sutton, S. G. (2024). The Risk of Technology Dominance in Using Digital Decision Aids in Assurance Engagements—Evidence from a Survey among Danish Auditors. Accounting Horizons, 1-20.