Ethical management of human-AI interaction: Theory development review

Teresa Hammerschmidt · Nina Passlack · Oliver Posegga

150 citations0/0 files storedThe Journal of Strategic Information Systems

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Ethics and Social Impacts of AI Ethics in Business and Education Information Systems Theories and Implementation

Abstract

AI-based technologies have changed the nature of the symbiosis between humans and AI, and so strategic management of human-AI interaction in organizations requires deeper ethical considerations. Aligning AI with human values requires a systematic understanding of the ethical management of human-AI interaction. We conduct a theoretical review, from a sociotechnical perspective, and analyze ethical management of human-AI interaction through the lens of sociomateriality. Our systematic approach helps explain and clarify the interdependencies between two ethical perspectives – duty and virtue ethics – in sociotechnical systems. We also provide a theoretical framework that leads to seven avenues for future research.

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References

1960A Coefficient of Agreement for Nominal Scales 2012Interrater reliability: the kappa statistic 2019Understanding digital transformation: A review and a research agenda 2003Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter 2019The global landscape of AI ethics guidelines 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization 2002Toward a Theory of Social Practices 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

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