Episode
314. Why do we all love an underdog? PLUS! Responsible A.I., Ford's human rehiring spree AND the psychology of disagreements.
- Podcast
- Truth, Lies and Work
- Published
- Jun 30, 2026
- Duration seconds
- 3117
- Processing state
not_requested- Canonical source
- https://traffic.megaphone.fm/HS6546078879.mp3
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Summary
Welcome back to Truth, Lies & Work, the award-winning workplace podcast where behavioural science meets workplace culture. This week, we are breaking down major shifts in the AI landscape, the science behind how we handle workplace friction, and a deep dive into why we naturally root for the underdog. 🔥 Stories Covered NatWest Group Commits to Responsible AI Training for All 60,000 Staff While many companies are rushing into AI deployment, NatWest is taking a human-centric approach by prioritizing data ethics. They have announced mandatory AI and data ethics training for all 60,000 employees, rolling out principles previously built in partnership with the University of Edinburgh's Edinburgh Futures Institute. The most fascinating takeaway? Over 50% of staff actively opted into extra training completely off their own back. With formal regulation still lagging behind, the bank is actively setting its own standard for corporate judgment and digital responsibility. NatWest Case Study: https://www.business-school.ed.ac.uk/executive-education/case-studies/ai-data-ethics-programme-natwest-group-leaders-colleagues NatWest Insights Article: https://www.natwestgroup.com/news-and-insights/latest-stories/ai-and-data/2025/may/upholding-ethical-use-of-ai-and-data-management.html 2. Ford’s AI Rollback: Rehiring 300 Human Engineers In a major corporate pivot, Ford has confirmed it is rehiring more than 300 veteran quality inspectors after its automated, AI-driven quality checks failed to match human engineering expertise. Ford learned the hard way that automation cannot replicate decades of tacit institutional knowledge. These veteran engineers are returning to factory floors not just to inspect vehicles, but to mentor the next generation and properly train the AI systems moving forwa…