• What LLM AI Applications Can Learn About Risk & Safety from the Last Decade of Autonomous Vehicles (Self-Driving Cars)

  • Jun 14 2023
  • Length: 34 mins
  • Podcast

What LLM AI Applications Can Learn About Risk & Safety from the Last Decade of Autonomous Vehicles (Self-Driving Cars)

  • Summary

  • Welcome to Season 1 of the Autonomous Health podcast. The last six months have seen tremendous progress of generative AI, much of it in large language models like chat-GPT. But there are numerous questions about the risks of these AI applications. Recently, in a scene right out of science fiction, Open AI CEO Sam Altman met with the US Senate and made a compelling case for regulatory oversight of AI. The Center of AI Safety just published a statement of risk saying that AI could have extinction-level implications.

    Over $100 billion dollars and 15+ years of innovation have been invested in Autonomous Vehicles (AV). AVs are the largest safety-critical application of AI in the real world.  What can the novel applications of language models learn from success and mistakes of the self-driving car industry?

    Our guest, Randol Aikin, a veteran of the AV industry and Caltech PhD, talks about exactly that.  In our chat with Randol, we talk about the practical risk mitigation for AI in “meat-and-potatoes” applications of language models. Unlike the hype today, our discussion is not about the risk of AGI and machines taking over the world; but about use-cases that millions of people are already using today- such as about preventing language models from inserting racist or sexist responses into marketing copy.

    We also dive into how generative AI approaches can be applied in high-risk applications like healthcare. We explore promising approaches today and on the horizon, and also what it will take for language models to make their way into more critical healthcare use-cases.

    About Our Guest:
    Randol Aikin is a technologist researching opportunities to bring new technologies to bear on safety-critical industries. He holds a PhD in Physics from Caltech, and his prior work includes remote sensing, autonomous vehicles, and energy storage. Randol is passionate about harnessing AI to address our most intractable problems, and he is committed to responsible AI deployments.

    Mentioned In This Episode:

    • Center of AI Safety - Statement of Risk: https://www.safe.ai/statement-on-ai-risk
    • Open AI CEO Sam Altman speaks to the Senate Judiciary Committee about Regulating AI:

    #autonomoushealth #tech #ai #machinelearning #healthcare

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    Autonomous Health is...
    Produced & Hosted by: Anmol Madan
    Edited by: Losa Amara Meru
    Marketing: Erin Garcia Miller

    About Your Host:
    Anmol Madan is an entrepreneur, computer scientist, and executive who has been leading the digital health and AI revolution over the past two decades. Anmol has co-founded or held executive roles at multiple unicorns in the emerging field of digital healthcare; a field which has existed for less than two decades. His professional contributions in the field have received hundreds of millions of dollars in funding from leading VCs, and been featured in such media as CNBC, New York Times, Washington Post, and Wired Magazine. His scientific contributions have been published in dozens of scientific articles in leading computer science and digital health journals, and led to over 30 issued and pending US patents.
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