The AI Fundamentalists

Dr. Andrew Clark & Sid Mangalik
  • 5.0 (9)
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The AI Fundamentalists

A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses. 

  1. 11月9日

    Model documentation: Beyond model cards and system cards in AI governance

    What if the secret to successful AI governance lies in understanding the evolution of model documentation? In this episode, our hosts challenge the common belief that model cards marked the start of documentation in AI. We explore model documentation practices, from their crucial beginnings in fields like finance to their adaptation in Silicon Valley. Our discussion also highlights the important role of early modelers and statisticians in advocating for a complete approach that includes the e...

    28 分钟

  2. 10月8日

    New paths in AI: Rethinking LLMs and model risk strategies

    Are businesses ready for large language models as a path to AI? In this episode, the hosts reflect on the past year of what has changed and what hasn’t changed in the world of LLMs. Join us as we debunk the latest myths and emphasize the importance of robust risk management in AI integration. The good news is that many decisions about adoption have forced businesses to discuss their future and impact in the face of emerging technology. You won't want to miss this discussion.Intro and news: Th...

    40 分钟

  3. 9月4日

    Complex systems: What data science can learn from astrophysics with Rachel Losacco

    Our special guest, astrophysicist Rachel Losacco, explains the intricacies of galaxies, modeling, and the computational methods that unveil their mysteries. She shares stories about how advanced computational resources enable scientists to decode galaxy interactions over millions of years with true-to-life accuracy. Sid and Andrew discuss transferable practices for building resilient modeling systems. Prologue: Why it's important to bring stats back [00:00:03]Announcement from the Americ...

    41 分钟

  4. 8月20日

    Preparing AI for the unexpected: Lessons from recent IT incidents

    Can your AI models survive a big disaster? While a recent major IT incident with CrowdStrike wasn't AI related, the magnitude and reaction reminded us that no system no matter how proven is immune to failure. AI modeling systems are no different. Neglecting the best practices of building models can lead to unrecoverable failures. Discover how the three-tiered framework of robustness, resiliency, and anti-fragility can guide your approach to creating AI infrastructures that not only perform re...

    34 分钟

  5. 7月30日

    Exploring the NIST AI Risk Management Framework (RMF) with Patrick Hall

    Join us as we chat with Patrick Hall, Principal Scientist at Hallresearch.ai and Assistant Professor at George Washington University. He shares his insights on the current state of AI, its limitations, and the potential risks associated with it. The conversation also touched on the importance of responsible AI, the role of the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF) in adoption, and the implications of using generative AI in decision-making.Sho...

    41 分钟

  6. 7月3日

    Data lineage and AI: Ensuring quality and compliance with Matt Barlin

    Ready to uncover the secrets of modern systems engineering and the future of AI? Join us for an enlightening conversation with Matt Barlin, the Chief Science Officer of Valence. Matt's extensive background in systems engineering and data lineage sets the stage for a fascinating discussion. He sheds light on the historical evolution of the field, the critical role of documentation, and the early detection of defects in complex systems. This episode promises to expand your understanding of mode...

    28 分钟

  7. 6月4日

    Differential privacy: Balancing data privacy and utility in AI

    Explore the basics of differential privacy and its critical role in protecting individual anonymity. The hosts explain the latest guidelines and best practices in applying differential privacy to data for models such as AI. Learn how this method also makes sure that personal data remains confidential, even when datasets are analyzed or hacked.Show NotesIntro and AI news (00:00) Google AI search tells users to glue pizza and eat rocks Gary Marcus on break? (Maybe and X only break)Wha...

    28 分钟

  8. 5月7日

    Responsible AI: Does it help or hurt innovation? With Anthony Habayeb

    Artificial Intelligence (AI) stands at a unique intersection of technology, ethics, and regulation. The complexities of responsible AI are brought into sharp focus in this episode featuring Anthony Habayeb, CEO and co-founder of Monitaur, As responsible AI is scrutinized for its role in profitability and innovation, Anthony and our hosts discuss the imperatives of safe and unbiased modeling systems, the role of regulations, and the importance of ethics in shaping AI.Show notesPrologue: ...

    46 分钟
查看全部 25 集

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关于

A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses. 

信息

  • 创作者
    Dr. Andrew Clark & Sid Mangalik
  • 活跃年份
    2023年 - 2024年
  • 单集
    25
  • 分级
    儿童适宜
  • 版权
    © 2024 The AI Fundamentalists
  • 节目网站
    The AI Fundamentalists

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