In this episode, we’re joined by Nick Bostrom, professor in the faculty of philosophy at the University of Oxford, where he also heads the Future of Humanity Institute, a multidisciplinary institute focused on answering big-picture questions for humanity with regards to AI safety and ethics.
Nick is of course also author of the book “Superintelligence: Paths, Dangers, Strategies.” In our conversation, we discuss the risks associated with Artificial General Intelligence and the more advanced AI systems Nick refers to as superintelligence. We also discuss Nick’s writings on the topic of openness in AI development, and the advantages and costs of open and closed development on the part of nations and AI research organizations. Finally, we take a look at what good safety precautions might look like, and how we can create an effective ethics framework for superintelligent systems.
The notes for this episode can be found at https://twimlai.com/talk/181.
Responsible AI in the Generative Era with Michael Kearns - #662
Edutainment for AI and AWS PartyRock with Mike Miller - #661
Data, Systems and ML for Visual Understanding with Cody Coleman - #660
Patterns and Middleware for LLM Applications with Kyle Roche - #659
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658
Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657
Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
Deploying Edge and Embedded AI Systems with Heather Gorr - #655
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650
Pushing Back on AI Hype with Alex Hanna - #649
Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648
Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647
What’s Next in LLM Reasoning? with Roland Memisevic - #646
Is ChatGPT Getting Worse? with James Zou - #645
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
Inverse Reinforcement Learning Without RL with Gokul Swamy - #643
Create your
podcast in
minutes
It is Free
20/20
The Dropout
FiveThirtyEight Politics
Ten Percent Happier with Dan Harris
World News Tonight with David Muir