What role does cyber security play in alignment and safety? What is AI completeness? What is the space of mind design and what does it tell us about AI safety? How does the possibility of machine qualia fit into this space? Can we leak proof the singularity to ensure we are able to test AGI? And what is computational complexity theory anyway?

AI Safety, Possible Minds, and Simulated Worlds is the third podcast in the new AI Alignment series, hosted by Lucas Perry. For those of you that are new, this series will be covering and exploring the AI alignment problem across a large variety of domains, reflecting the fundamentally interdisciplinary nature of AI alignment. Broadly, we will be having discussions with technical and non-technical researchers across areas such as machine learning, AI safety, governance, coordination, ethics, philosophy, and psychology as they pertain to the project of creating beneficial AI. If this sounds interesting to you, we hope that you will join in the conversations by following us or subscribing to our podcasts on Youtube, SoundCloud, or your preferred podcast site/application.

In this podcast, Lucas spoke with Roman Yampolskiy, a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. Dr. Yampolskiy’s main areas of interest are AI Safety, Artificial Intelligence, Behavioral Biometrics, Cybersecurity, Digital Forensics, Games, Genetic Algorithms, and Pattern Recognition. He is an author of over 100 publications including multiple journal articles and books. 

Topics discussed in this episode include:

-Cyber security applications to AI safety

-Key concepts in Roman's papers and books

-Is AI alignment solvable?

-The control problem

-The ethics of and detecting qualia in machine intelligence

-Machine ethics and it's role or lack thereof  in AI safety

-Simulated worlds and if detecting base reality is possible

-AI safety publicity strategy