OVER DEZE AFLEVERING
Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI.
Today, he tells us how he’s using reinforcement learning and HAIbrid algorithms to tap the best of both human and machine intelligence and develop AI that’s minimally disruptive, synergistic with human solutions, and safe.
Engels
Verenigde Staten
OUDE AFLEVERINGEN ZOEKEN
Zoek naar eerdere afleveringen van Microsoft Research Podcast.
ANDERE AFLEVERINGEN IN DEZE PODCAST
Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience.
Show notes
Microsoft’s Eric Horvitz and guests Bruce Wittmann, Tessa Alexanian, and James Diggans discuss the Paraphrase Project—a red-teaming effort that exposed and secured a biosecurity vulnerability in AI-driven protein design. The work offers a model for addressing AI’s dual-use risks.
Show notes
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work in responsible AI.
Show notes
For the series finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including experts on AI’s economic and societal impact, leaders in AI-driven medicine, and doctors in training.
Show notes
Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility.
Show notes
Disclaimer: De podcast en de illustraties die op deze pagina zijn ingesloten, zijn afkomstig van Researchers across the Microsoft research community, eigendom van de eigenaar en niet gelieerd aan of goedgekeurd door Listen Notes, Inc.
BEWERKEN
Bedankt voor uw hulp bij het up-to-date te houden van de podcast-database .
