AI Standards Stack

Professor Michael Mainelli, Z/Yen Group and Adam Leon Smith, AIQI

Join us for the AI Standards Stack podcast series, hosted by Professor Michael Mainelli (Z/Yen Group) and Adam Leon Smith (AIQI). This podcast series examines the latest developments in AI assurance, alignment, governance, and responsible innovation. Each session features expert guests from around the world who are shaping standards, ethics, regulation, and best practices for trustworthy artificial intelligence.

Tập

  1. 4 GIỜ TRƯỚC

    Dr Christine Chow On Why AI Standards Matter To Investors

    In this second episode of the AI Standards Stack Podcast, guest Dr Christine Chow joins hosts Professor Michael Mainelli and Adam Leon Smith to discuss responsible AI governance from an investor’s perspective. Christine, a long-time investment professional and early advocate for responsible AI since 2012, shares insights drawn from her pioneering work, including leading Federated Hermes’ 2019 industry-first investor expectations on responsible AI and data governance. The conversation centers on why robust data governance forms the foundation of effective AI governance, covering data provenance, bias in raw, model and synthetic data, transparency, explainability and accountability. It explores practical challenges across evolving AI paradigms, from efficiency tools to generative, agentic, multimodal and embodied systems, including use-case identification, prompt engineering, meaningful human-in-the-loop oversight, board-level engagement, and societal risks of over-reliance such as impacts on mental health, confidence and critical thinking. The episode examines the fragmented global standards landscape (EU AI Act risk categories, NIST voluntary frameworks, ISO 42001), investor approaches to company engagement, environmental concerns around AI infrastructure, tensions between free speech and content guardrails, cultural complexities in human rights, and the push for concrete implementation guidance to balance innovation with safety and societal well-being.

    41 phút
  2. Maury Shenk On AI With A Worldview

    4 THG 2

    Maury Shenk On AI With A Worldview

    In this inaugural episode, guest Maury Shenk, CEO and Co-Founder of Ordinary Wisdom will be joined by regular hosts Professor Michael Mainelli and Adam Leon Smith to talk about how he is seeking to develop, through Ordinary Wisdom, innovative ways of shaping AI behaviour. Drawing from his background as a technology lawyer, entrepreneur, investor, and AI enthusiast, Shenk shares his journey into the field and his risk-oriented perspective on AI's potential harms, from autonomous weapons and social disruption to geopolitical tensions, while remaining optimistic about its transformative power as a general-purpose technology akin to electricity or the printing press. The discussion examines whether AI can be imbued with something akin to a "conscience" or selected worldview, moving beyond top-down commands from tech giants toward approaches informed by human values, social consensus, and rigorous testing. The episode sets the stage for a deeper exploration of how standards and ethics can guide AI toward beneficial outcomes in a rapidly changing world. Hosts: Professor Michael Mainelli: Director at Z/Yen Group, the City of London’s leading think-tank on finance and technology. Former Lord Mayor of London (2023–2024), Sheriff of the City of London (2019–2021), and President of the London Chamber of Commerce and Industry. Adam Leon Smith: Expert in AI regulation and technical standards. Chair of the AIQI Consortium. Deputy Chair of the UK national AI standards committee. Project leader for AI Act-related standards in CEN/CENELEC JTC 21.

    37 phút

Giới Thiệu

Join us for the AI Standards Stack podcast series, hosted by Professor Michael Mainelli (Z/Yen Group) and Adam Leon Smith (AIQI). This podcast series examines the latest developments in AI assurance, alignment, governance, and responsible innovation. Each session features expert guests from around the world who are shaping standards, ethics, regulation, and best practices for trustworthy artificial intelligence.