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December 16, 2020Journal of Business Research200 citationsOpen Access

Artificial intelligence for human flourishing – Beyond principles for machine learning

BSBernd Carsten StahlAAAndreas G. AndreouPBPhilip Brey

Key Points

  • To conceptually capture and empirically evaluate the ethical, legal, and social impacts of artificial intelligence to guide technology development toward human flourishing.
  • Conducted a multidimensional assessment integrating 10 case studies and five future scenarios.
  • Performed an ethical impact analysis, a human rights analysis, and a technical threat and vulnerability assessment of AI systems.
  • Categorized AI ethics discourse into three distinct streams: machine learning application challenges, sociopolitical societal implications, and metaphysical inquiries into humanity.
  • Identified human rights principles and existing legal frameworks as central mechanisms for governing AI risks and promoting human well-being.

Abstract

The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.

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Cite This Study

Stahl et al. (2020) studied this question.

synapsesocial.com/papers/6a0daa8088250cfcc2a5100dhttps://doi.org/10.1016/j.jbusres.2020.11.030
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