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  • 10 - Towards a Global Artificial Intelligence Charter

  • from Part II - Current and Future Approaches to AI Governance
  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 167-175
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  • Summary

    In this chapter, the philosopher Thomas Metzinger lists five main problem domains related to AI systems. For each problem field, he proposes several measures which should be taken. Firstly, there should be worldwide safety standards concerning the research and development of AI. If not, Metzinger fears a ‘race to the bottom’ in safety standards. Additionally, a possible AI arms race must be prevented as early as possible. Thirdly, he stresses that any creation of artificial consciousness should be avoided, as it is highly problematic from an ethical point of view. He argues that synthetic phenomenology could lead to non-biological forms of suffering and might lead to a vast increase of suffering in the universe, as AI can be copied rapidly. While AI might improve different kinds of governance, there is the risk of unknown risks, the ‘unknown unknowns’. Accordingly, as a fourth problem domain, the author proposes allocating resources to research and prepare for unexpected and long-term risks. Finally, Metzinger highlights the need for a concrete code of ethical conduct for anyone researching AI.