CSAIL Alliances Podcasts

Have we achieved Artificial General Intelligence? MIT CSAIL Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks. What does this mean for the future of AI integration, regulation, and development? Hear Professor Kellis’ ideas about how businesses can incorporate LLMs (large language models) to minimize silos, why we shouldn’t put up too many guardrails on AI technology, and how human-AI collaboration can lead to broader societal benefit, including healthcare. Professor Kellis is working toward a future where AI transforms healthcare through a deeper understanding of our individual genetics and targeted treatment development. Visit Professor Kellis’s website to learn more about his work on AI and computational biology: https://www.csail.mit.edu/person/manolis-kellis

Associate Professor Marzyeh Ghassemi discusses why, despite its tremendous potential for good, AI must be approached with caution, especially in high risk areas like healthcare. Biases in training data can perpetuate real-world inequalities, providers might rely too much on potentially faulty AI, and tools created for one demographic might not necessarily translate to a different population. However, considering the incredible potential of AI to tackle challenges in transformative ways, it’s worth approaching these considerations with rigorous academic insight. Learn more about her work here: https://www.csail.mit.edu/person/marzyeh-ghassemi

This month’s podcast is a double feature. First up, Associate Professor and Chief Health AI Officer at the University of California San Diego Karandeep Singh explains the reality of using artificial intelligence for medicine. Professor Singh extrapolates on what works, what doesn’t, and how some challenges are social rather than technical. Plus, MIT CSAIL’s Assistant Professor Andreea Bobu explains how large language models are advancing the field of robotics. Thanks to LLMs, giving directions to robots might soon look more like a conversation, without the need for step-by-step commands. You can learn more about CSAIL research and access a full transcript of this podcast at https://cap.csail.mit.edu/. To learn about CSAIL's Professional Development Courses, including the upcoming Cybersecurity for Technical Leaders and Deploying AI courses, visit here: cap.csail.mit.edu/events-professional-programs. Podcast listeners save 10% on courses with code MITXPOD10.

Founding Director of the MIT Internet Policy Research Initiative CSAIL Senior Research Scientist Daniel Weitzner says a lack of visibility about how personal data is being used is leading to an erosion of customer trust. However, companies increasingly need to leverage data for analytic advantage, generative AI applications, and more. His research focuses on solutions which would empower consumers with visibility and control of their data, facilitating a future of accountability and trust. Hear more about his work here: https://www.csail.mit.edu/person/daniel-weitzner Find out more about CSAIL Alliances, as well as a full transcript of this podcast, at: https://cap.csail.mit.edu/podcasts/how-companies-can-rebuild-trust-around-data-danny-weitzner?utm_source=alliancesmembers&utm_medium=pardot&utm_campaign=dannypod24 If you would like to learn more about CSAIL's Professional Development Courses, including the upcoming Driving Innovation with Generative AI, visit here: cap.csail.mit.edu/events-professional-programs. Podcast listeners save 10% on courses with code MITXPOD10.

Professor of Finance at the MIT Sloan School of Management and CSAIL Andrew Lo believes AI can help everyday consumers make important financial decisions by democratizing access to quality finance advice. His research aims to address the challenges of deploying AI in finance by, for example, answering questions around responsibility and engaging with financial advisors to make sure such tools are useful in the field. Professor Lo is the faculty director for the FintechAI@CSAIL research initiative. Find out more about CSAIL Alliances, as well as a full transcript of this podcast, at https://cap.csail.mit.edu/podcasts/how-ai-can-help-financial-decision-making-andrew-lo If you would like to learn more about CSAIL's Professional Development Courses, including the upcoming Driving Innovation with Generative AI, visit here: cap.csail.mit.edu/events-professional-programs. Podcast listeners save 10% on courses with code MITXPOD10. Looking for another great podcast? MIT Sloan Management Review’s "Me, Myself, and AI," expert hosts and researchers talk with AI leaders from organizations like NASA, Upwork, Github, and Meta to explore how organizations achieve success with generative AI — and what challenges and ethical considerations they face along the way. Listen to Me, Myself, and AI wherever you stream podcasts. https://link.chtbl.com/pxsEZ4pf?sid=CSAIL