AI Safety Unplugged: Navigating the Risks Without the Hype (WEF)
We're pleased to announce that Lakera will participate in the AI House Davos event, held in conjunction with the World Economic Forum 2024. AI House Davos serves as a hub for tech leaders, scholars, and policy makers to discuss the progress of Artificial Intelligence.
You can register to attend in-person here.
Our upcoming session, "AI Safety Unplugged: Navigating the Risks Without the Hype," is designed to stimulate a meaningful conversation about present and looming challenges associated with AI's accelerating integration into the business world.
The expert panelists we’ve invited from both industry and academia will focus on a pragmatic approach to navigating the adoption of AI, with an emphasis on recognizing and managing risks.
Panelists:
- Yann LeCun, VP & Chief AI Scientist, Meta
- Max Tegmark, MIT Professor & President of the Future of Institute
- Seraphina Goldfarb-Tarrant, Head of Safety, Cohere
- David Haber, CEO & co-founder, Lakera
For more information on AI House Davos, visit aihousedavos.com. For live updates, ideas, and highlights from the event, follow Lakera on LinkedIn and Instagram.
- The advance toward artificial general intelligence (AGI)—what it does and doesn’t entail, and how we can prepare for its inception
- Intelligent agents—their proliferation and potential dominance, ensuring alignment across use cases, and their expected impact on the internet in the coming years
- The pressing safety and security concerns around generative AI—from critical infrastructure vulnerabilities to misinformation, and the role of model providers, enterprises, researchers, and policy makers in addressing them
- AI governance best practices—and the contentious questions left to be answered, from tightly regulated models to open-source development
His research spans cosmology, the physics of cognitive systems, and the intersection of physics, AI, and neuroscience.
Max Tegmark is also the author of over 200 publications and the bestsellers like “Life 3.0: Being Human in the Age of Artificial Intelligence” and “Our Mathematical Universe: My Quest for the Ultimate Nature of Reality”. His work with the Sloan Digital Sky Survey on galaxy clustering shared the first prize in Science magazine’s “Breakthrough of the Year: 2003”
Seraphina holds a PhD in Fairness in Transfer Learning for NLP from The University of Edinburgh. Her research explores fairness, robustness, and generalization in AI, cross-lingual transfer, and causal analysis. Before her PhD, she gained industry experience at Google, working in Tokyo, NYC, and Shanghai.
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