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Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

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


Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181

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

ratings:
Length:
45 minutes
Released:
Sep 17, 2018
Format:
Podcast episode

Description

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.
Released:
Sep 17, 2018
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.