『The Board in the Machine』のカバーアート

The Board in the Machine

The Board in the Machine

著者： Mario Thomas
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 The Board in the Machine is an audio edition for board directors and C-suite executives navigating the strategic and governance implications of AI. Hosted by Mario Thomas — Chartered Director, Fellow of the Institute of Directors, Head of Applied AI and Emerging Technology Strategy at AWS, and international speaker — each edition draws on original research and practical frameworks to help directors govern AI with confidence, not just awareness. Audio editions of articles published at mariothomas.com.Mario Thomas マネジメント マネジメント・リーダーシップ 経済学
エピソード
  • Maximum Fidelity: How Four Indicator Types Strengthen Board Decisions

    Maximum Fidelity: How Four Indicator Types Strengthen Board Decisions
    2026/04/12
    Boards have always made decisions under incomplete information. What has changed is not the volume of what reaches the table — it is the quality of what the Board can see before the vote is taken. Most Boards still rely on instruments built for a slower world.

    This episode of The Board in the Machine, with Mario Thomas — Chartered Director and Fellow of the Institute of Directors, introduces a framework of four indicator types: lagging, leading, predictive, and reasoned. Listeners will leave with a clear way to assess what their own Board is currently using to make major decisions, and what is missing.

    Drawing on Heidrick & Struggles' 2026 CEO & Board Confidence Monitor, the Institute of Directors' work on Board oversight, and three worked Board scenarios — a major acquisition, a market entry, and a significant capital allocation — the episode shows how each indicator type adds a different quality of input, and what changes when reasoned indicators prove what was previously only estimated. The takeaway is a question every director can put to their own Board after listening: which of the four indicator types informed our last major decision, and which were absent?

    This episode is for chairs, non-executive directors, and senior executives sitting on Boards where the next major decision is already on the calendar — and where the information environment around it has not been examined recently enough.

    Read the full article at mariothomas.com.
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    15 分
  • From Probable to Provable: What Automated Reasoning Means for the Board

    From Probable to Provable: What Automated Reasoning Means for the Board
    2026/04/05
    Only 33% of boards feel equipped to govern AI, yet AI systems are making millions of decisions per second on their behalf. The gap between the volume of information boards must process and the quality of assurance they receive has never been wider.

    In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — explains what automated reasoning is and why it matters for board-level governance. He distinguishes it clearly from AI and predictive analytics, showing how formal logic and mathematical proof offer boards a categorically different quality of input: not better confidence, but certainty.

    Drawing on verified applications in aviation (DO-178C/DO-333), financial services (Basel III/IV compliance), cybersecurity (TLS 1.3 verification), and emerging work in computable contracts, the episode sets out where proof is already replacing probability in regulated industries. Listeners will come away understanding what reasoned indicators are, where automated reasoning applies to governance questions they already own, and how to ask whether their organisation's assurances rest on sampling or completeness.

    If you sit on a board, chair an audit or risk committee, or advise directors on AI governance, this episode gives you the vocabulary and the framework to ask a question most boards have not yet considered: are your organisation's assurances based on probability, or proof?

    Read the full article at mariothomas.com.
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    16 分
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