How social science research can inform the design of AI systems
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
The O’Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI. Subscribe on Apple Podcasts, Stitcher, Google Play, and RSS.
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness.
The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers.
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning.
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning.
The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture.
The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy.
The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain.
The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.
The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
The O’Reilly Data Show Podcast: Jesse Anderson and Paco Nathan on organizing data teams and next-generation messaging with Apache Pulsar.
The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning.
The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots.
The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized.
The O’Reilly Data Show Podcast: Leo Meyerovich on building large-scale, interactive applications that enable visual investigations.
The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation.
The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.
The O’Reilly Data Show Podcast: Kris Hammond on business applications of AI technologies and educating future AI specialists.
The O’Reilly Data Show Podcast: Tim Kraska on why ML will change how we build core algorithms and data structures.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.