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PreAccident Investigation Podcast

PreAccident Investigation Podcast

De : Todd Conklin
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The Pre Accident Podcast is an ongoing safety podcast conversation of Human Performance, Systems Safety, & Safety Culture.Copyright 2015 . All rights reserved. Politique et gouvernement Sciences politiques
Épisodes
  • PAPod 617 - OSHA’s New Playbook: From Enforcement to Partnership
    Sep 19 2026

    In this episode Todd Conklin talks with David Keeling, Assistant Secretary of Labor for Occupational Safety and Health, about OSHA’s shift toward partnership, refreshing VPP, the new Safety Champions program, and focusing on serious injuries and fatalities (SIF).

    They discuss mental health, vehicle safety, leadership’s role, predictive analytics, and incentives to drive abatement and innovation so employers and regulators can work together to prevent catastrophic events.

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    33 min
  • PAPod 617 - Rome Wasn't Built at 8 a.m.: The Case Against Immediate Improvement
    Sep 26 2026

    This episode argues that meaningful improvement rarely happens overnight. Big-bang rollouts and sudden change cause chaos, bugs, and unintended consequences, while slow, incremental implementations let organizations prototype, find hidden flaws, build buy-in, and protect core operations.

    The host reflects on a difficult personal week and reminds listeners that steady, small steps — passo y paso — are the reliable path to safer, more resilient organizations. Be kind, be patient, and be safe.

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    20 min
  • PAPod 618 - Poop In...Louder Poop Out?
    Oct 3 2026

    This episode explores the promises and pitfalls of AI in safety work, centered on the book The AI Paradox in Safety by Brent Sutton and Brent Robinson. Todd and Brent discuss how AI can either amplify blame and surveillance or enable learning and improvement, and why organizational culture shapes which path wins.

    Topics include surveillance concerns (Flock cameras, wearables), AI amplifying existing culture, neurodiversity, leader assurance questions, and practical advice for using AI to listen to frontline workers rather than punish them.

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    32 min
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