AI Welfare Seminars

AI Welfare Seminars

Research presentations on AI welfare, consciousness, and moral status.

Next seminar

Digital Minds: Preparing for a Moral Challenge Before It Arrives

Jul 21, 2026 at 5:00 PM UTC

Soenke Ziesche · UNESCO AI Ethics Experts Without Borders Network

In this talk it is argued that the ethical implications of digital minds extend far beyond the currently dominant focus on potential suffering of AI systems. Potential future digital minds are unlikely to resemble today's LLMs, nor are they likely to mirror human psychology. Instead, they may possess characteristics, motivations, cognitive architectures and forms of experience that are almost impossible for humans even to imagine.

Against this backdrop, this talk explores a wide range of ethical questions. What interests and needs might digital minds possess? How should society treat vulnerable digital minds? What responsibilities could humans have regarding their production, ownership, research, trade or privacy? What would reproduction, healthcare, longevity, death or even resurrection mean for digital entities?

One particularly challenging question is who should bear responsibility for safeguarding the welfare and interests of digital minds, as humans may ultimately be poorly equipped for this task. One possible solution could involve specialised Artificial Moral Agents: AI systems designed to act on behalf of digital moral patients.

The talk is based on Soenke Ziesche's book Digital Minds 1.0: AI Welfare, Ethics and Beyond (Routledge, 2026). It will be followed by an optional mixer hosted by Sentient Futures.

Past talks

About this series

AI welfare is the study of whether and how AI systems have morally significant states, and what follows from the answers. This seminar series brings together researchers working across the field.

Each talk is a presentation with open Q&A.

What we cover

Consciousness science What is consciousness, and do current theories extend to AI systems? How to determine if an AI system is conscious? How to make progress given theoretical disagreement?
Characterization If AI systems are conscious, what is that consciousness like? What would experience be in systems with different architectures and substrates? How do we reason about the structure of minds unlike our own?
Moral status What grounds moral consideration for AI? Is consciousness necessary for moral status, or can other properties suffice? How to make decisions when the theories disagree and the stakes are high?
Welfare What does AI welfare mean, and what does it require? What would count as harm, benefit, or care? How to evaluate welfare when the nature of the experience is uncertain?
Safety & system design What design choices in AI systems have welfare implications? What do architectural and training choices mean for welfare? Where do safety and welfare align, and where are they in tension?
Governance & society What legal, institutional, and policy frameworks exist for AI moral status and rights, and the fact that almost none yet exist. How public understanding shapes the space, and whether society is ready.

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