The Dark Side of AI in Employee Training episode artwork

EPISODE · Aug 20, 2025 · 27 MIN

The Dark Side of AI in Employee Training

from Compliance into the Weeds · host Tom Fox

The award-winning Compliance into the Weeds is the only weekly podcast that takes a deep dive into a compliance-related topic, literally going into the weeds to explore a subject more fully. Looking for some hard-hitting insights on compliance? Look no further than Compliance into the Weeds! In this episode of Compliance into the Weeds, Tom Fox and Matt Kelly discuss emerging concerns surrounding AI, particularly ChatGPT, in the realm of employee training. Their discussion centers on the potential use of AI, specifically ChatGPT’s newest ‘Agent Mode’, to administer compliance training courses on behalf of employees, which could potentially enable them to cheat. They debate the implications of this capability, touching on the historical context of cheating, the effectiveness of current training methods, and the need for new internal controls and strategies to adapt to these technological advancements. They also contemplate the future of training, potentially evolving into AI-driven bots that provide on-the-spot, micro-learning modules. The episode encourages compliance officers to thoroughly vet their training vendors to ensure measures are in place to prevent AI-enabled cheating. Key highlights: The Dark Side of AI in Compliance Training AI’s Impact on Employee Training AI’s Role in Training and Compliance Future of AI in Corporate Training Challenges and Considerations Resources: Matt Kelly in Radical Compliance Tom Instagram Facebook YouTube Twitter LinkedIn A multi-award-winning podcast, Compliance into the Weeds was most recently honored as one of the Top 25 Regulatory Compliance Podcasts, a Top 10 Business Law Podcast, and a Top 12 Risk Management Podcast. Compliance into the Weeds has been conferred a Davey, Communicator, and W3 Awards for podcast excellence. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode metadata supplied by the publisher feed · Published Aug 20, 2025

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