LIVE FROM THE AI SUMMIT LDN: Inside Sony AI's Bet on Open Research

Fred Gifford, Strategy Lead and Sr. Product Manager at Sony AI, shares how his team is building knowledge graphs from academic literature to predict new biomedical relationships and accelerate drug discovery. He explains why Sony AI publishes so much of its research openly, what he got wrong about AI therapy when writing his novel and why he believes accountability for AI's ethical failures still lags dangerously behind the pace of the technology itself.

Key Takeaways:

Why specialized AI tools are losing ground to all-in-one chatbots and what that means for the personal data we hand over

What it actually takes to build an ethical dataset from scratch and why most image data used to train AI didn't

His experience of writing about AI therapy years before chatbots became a mental health solution for millions

Why Sony AI is choosing to open-source its work

This episode was recorded LIVE at The AI Summit London

Guest Bio:

Fred Gifford is an AI strategy lead based in London. He has spent the past 5.5 years at Sony AI applying frontier AI research to solve challenges in gastronomy, AI Ethics, and biomedical.

He is also an author under the pen-name Fred Lunzer. His debut novel, Sike, was published by Macmillan / Celadon last year, and focuses on a young couple navigating life with an AI therapist.

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