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June 25, 2019Palgrave Communications184 citationsOpen Access

Social and juristic challenges of artificial intelligence

MPMatjaž PercMÖMahmut ÖzerJHJanja Hojnik

Key Points

  • To review the emerging social dilemmas and juristic liability challenges posed by the integration of artificial intelligence into everyday life and public infrastructure.
  • Conducted a conceptual review of social dilemmas in automated systems where individual self-interest conflicts with collective social welfare.
  • Analyzed legal liability and tort frameworks regarding harm, injury, or loss caused by autonomous decision-making algorithms.
  • Identified ethical conflict points in autonomous systems, such as automated vehicle navigation, where machines struggle to resolve competing human interests.
  • Demonstrated significant legal ambiguity in assigning fault and financial liability among developers, operators, and machine agents during AI-induced torts.
  • Formulated a set of constructive guidelines and policy recommendations to proactively mitigate emerging social and juristic risks.

Abstract

Abstract Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie, and even cooking a healthier meal. It also has a significant impact on many aspects of society and industry, ranging from scientific discovery, healthcare and medical diagnostics to smart cities, transport and sustainability. Within this 21st century ‘man meets machine’ reality unfolding, several social and juristic challenges emerge for which we are poorly prepared. We here review social dilemmas where individual interests are at odds with the interests of others, and where artificial intelligence might have a particularly hard time making the right decision. An example thereof is the well-known social dilemma of autonomous vehicles. We also review juristic challenges, with a focus on torts that are at least partly or seemingly due to artificial intelligence, resulting in the claimant suffering a loss or harm. Here the challenge is to determine who is legally liable, and to what extent. We conclude with an outlook and with a short set of guidelines for constructively mitigating described challenges.

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Cite This Study

Perc et al. (2019) studied this question.

synapsesocial.com/papers/6a08ae70113ba5b476de640ahttps://doi.org/10.1057/s41599-019-0278-x
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