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AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
48 minutes
Released:
Nov 6, 2023
Format:
Podcast episode

Description

Today we’re joined by Yoshua Bengio, professor at Université de Montréal. In our conversation with Yoshua, we discuss AI safety and the potentially catastrophic risks of its misuse. Yoshua highlights various risks and the dangers of AI being used to manipulate people, spread disinformation, cause harm, and further concentrate power in society. We dive deep into the risks associated with achieving human-level competence in enough areas with AI, and tackle the challenges of defining and understanding concepts like agency and sentience. Additionally, our conversation touches on solutions to AI safety, such as the need for robust safety guardrails, investments in national security protections and countermeasures, bans on systems with uncertain safety, and the development of governance-driven AI systems.

The complete show notes for this episode can be found at twimlai.com/go/654.
Released:
Nov 6, 2023
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.