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AI in safety-critical engineering: Where it helps, where it doesn’t, and how to stay in control

WHEN

17.03.2026
| 16.00
GMT

WHERE

Virtual

Your safest route to AI‑powered engineering

In safety‑critical and embedded environments, the rise of AI brings extraordinary potential, but also new challenges. Engineering teams are being asked to innovate faster, handle greater complexity, and maintain the highest levels of reliability and safety.

So how do you unlock the power of AI while protecting the integrity of your systems?

Join the next episode of AI Talk with Kevin Craine, featuring a panel of experts discussing how engineering teams can safely and effectively integrate AI into regulated, high‑assurance environments.

In this session, we’ll explore:

  • Practical AI use cases across the engineering lifecycle
  • How AI can reduce complexity and cognitive load, not replace engineering judgement
  • How AI is analysing data from digital twins for faster insights

Join us to learn how to put AI to work, responsibly and effectively, for your engineering teams.

Our Speakers

Kevin Craine

Host
AI Talk

A woman with wavy dark hair smiles at the camera, wearing a navy blazer and silver earrings. The background is blurred, showing buildings and windows.

Priyanka Dank

Data scientist & AI strategist
Airbus

A middle-aged man with short grey hair and glasses, wearing a striped shirt, stands in front of a blurred purple background with partial white text.

Sean Simmons

Chief Engineer
Expleo