AI, Platforms & Data

Artificial Suffering: An Argument for a Global Moratorium on Synthetic Phenomenology

This stream explores the ethical, philosophical, and policy implications of artificial consciousness. It begins with a critical examination of the political and ethical arguments for a global moratorium on synthetic phenomenology—a proposed international ban on research that directly aims to create or risks creating conscious artificial systems. The stream then shifts to a constructive phase, introducing a conceptual framework for refining such a moratorium through rational, evidence-based constraints. Students will engage with debates surrounding the moral status of artificial minds, the future of post-biotic intelligence, and the evolving criteria for ethically acceptable AI development. The stream encourages critical thinking and interdisciplinary dialogue on one of the most urgent questions in emerging technology: What kinds of conscious experiences, if any, should we allow or aim to create in artificial systems?

Introductory12 lessons1 questions

What is covered

  1. 1Meet the author
  2. 2Session 1 - Introduction
  3. 3Session 2 - Main thesis & Reducing Epistemic Indeterminacy
  4. 4Session 3 - What is epistemic indeterminacy? & A representationalist analysis of suffering
  5. 5Session 4 - The C condition: Conscious experience & The PSM condition: Possession of a phenomenal self-model
  6. 6Session 5 - The NV condition: Negative valence & The T condition: Transparency
  7. 7Session 6 - The metric problem & Ethics by architectural design: Non-egoic units of identification
  8. 8Session 7 - The broader context and complex forms of epistemic indeterminacy & Interaction between risks and the ethics of risk-taking
  9. 9Session 8 - From Schopenhauerian self-models to Kantian self-models & Conclusion: The Risk of Artificial Suffering
  10. 10Read Paper
  11. 11We would love your feedback!1 question

Prepared by

Thomas Metzinger

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