On Thursday 2 November, Lloyd’s Lab hosted a panel discussion alongside WTW and The World Innovation Network (TWIN): ‘Artificial Intelligence (AI): Utopia, Dystopia or Both.’
The event held in Lloyd’s Old Library, was attended by over 100 representatives from across risk and people management, computer science and new technologies, and explored the use and potential of AI in a variety of settings, from industry risk management, to day-to-day usage for individuals inside and outside of the workplace.
The panel was hosted by Rob Wolcott, Co-founder and Chair of TWIN, with a panel of speakers from the within the Lloyd’s market and externally:
- John Bremen, Managing Director, Innovation & Acceleration Officer, WTW
- Marco Lo Giudice, PhD, Head of Emerging Risks at Lloyd’s
- Sue Black OBE, Professor of Computer Science at Durham University
- Yngvar Ugland, Executive Vice President, Dun and Bradstreet
- Dr. Keyun Ruan, Risk Economics & Strategy, Google Cloud ISO
The discussion explored numerous themes including the future role of regulation to ensure a secure and ethical AI adoption as well as the current prominent AI risks facing society. Using this basis for discussion, AI experts presented a deep-dive into which risks the insurance industry is potentially over estimating, and others which may have so far been under estimated.
Looking to the future, the panellists discussed potential opportunities for the insurance and people industries within the evolving AI landscape.
In closing, the panel recapped the key aim of the event - calling for greater collaboration between the insurance industry, governments and policymakers, regulators and technology companies to collectively address potential and emerging AI risks. In turn, it is hoped that this collaboration will enable business leaders and decision makers to balance both the commercial and ethical incentives of incorporating and upscaling the use of AI.
To read more about what was discussed, please see our post-event brief.
Download AI Panel Discussion Summary
Lloyd's Lab