Description
We're taking a slight detour from modeling best practices to explore questions about AI and consciousness.
With special guest Michael Herman, co-founder of Monitaur and TestDriven.io, the team discusses different philosophical perspectives on consciousness and how these apply to AI. They also discuss the potential dangers of AI in its current state and why starting fresh instead of iterating can make all the difference in achieving characteristics of AI that might resemble consciousness.
Show notes
Why consciousness for this episode?
Enough listeners have randomly asked the hosts if Skynet is on the horizonDoes modern or future AI have the wherewithal to take over the world, and is it even conscious or intelligent? Do we even have a good definition of consciousness?Introducing Michael Herman as guest speaker
Co-founder of Monitaur, Engineer extraordinaire, and creator of TestDriven.io, a training company that focuses on educating and upskilling mid-level senior-level web developers.Degree and studies in philosophy and technologyEstablishing the philosophical foundation of consciousness
Consciousness is around us everywhere. It can mean different things to different people.Most discussion about the subject bypasses the Mind-Body Problem and a few key theories:Dualism - the mind and body are distinctMaterialism - matter is king and consciousness arises in complex material systemsPanpsychism - consciousness is king. It underlies everything at the quantum levelThe potential dangers of achieving consciousness in AI
While there is potential for AI to reach consciousness, we're far from that point. Dangers are more related to manipulation and misinformation, rather than the risk of conscious machines turning against humanity.The need for a new approach to developing AI systems
There's a need to start from scratch if the goal is to achieve consciousness in AI systems.Current modeling techniques might not lead to AI achieving consciousness. A new paradigm might be required.There's a need to define what consciousness in AI means and to develop a test for it. Final thoughts and wrap-up
If consciousness is truly the goal, the case for starting from scratch allows for fairness and ethics to be established foundationallyAI systems should be built with human values in mindDo you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics:
LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
What if the secret to successful AI governance lies in understanding the evolution of model documentation? In this episode, our hosts challenge the common belief that model cards marked the start of documentation in AI. We explore model documentation practices, from their crucial beginnings in...
Published 11/09/24
Are businesses ready for large language models as a path to AI? In this episode, the hosts reflect on the past year of what has changed and what hasn’t changed in the world of LLMs. Join us as we debunk the latest myths and emphasize the importance of robust risk management in AI integration. The...
Published 10/08/24