In this episode I talk to Roman Yampolskiy. Roman is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books and papers on AI security and ethics, including Artificial Superintelligence: a Futuristic Approach. We talk about how you might test for machine consciousness and the first steps towards a science of AI welfare.
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Show Notes
- 0:00 - Introduction
- 2:30 - Artificial minds versus Artificial Intelligence
- 6:35 - Why talk about machine consciousness now when it seems far-fetched?
- 8:55 - What is phenomenal consciousness?
- 11:04 - Illusions as an insight into phenomenal consciousness
- 18:22 - How to create an illusion-based test for machine consciousness
- 23:58 - Challenges with operationalising the test
- 31:42 - Does AI already have a minimal form of consciousness?
- 34:08 - Objections to the proposed test and next steps
- 37:12 - Towards a science of AI welfare
- 40:30 - How do we currently test for animal and human welfare
- 44:10 - Dealing with the problem of deception
- 47:00 - How could we test for welfare in AI?
- 52:39 - If an AI can suffer, do we have a duty not to create it?
- 56:48 - Do people take these ideas seriously in computer science?
- 58:08 - What next?
Relevant Links
- 'Towards AI Welfare Science and Policies' by Soenke Ziesche and Roman Yampolskiy
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