AISHK
We are a non-profit organization dedicated to advancing the safe and beneficial development of artificial intelligence.
- Indexed videos, last 90 days
- 7
- Latest publication
- Sep 28, 2026
- Audience
- ~5 subscribers
- Earliest in this view
- Jul 15, 2026
Latest videos
A Thousand AI Constitutions (opens the original)
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A Thousand AI Constitutions | Simon Goldstein | AI Safety Hong Kong Webinar #7 Today's most capable AI models are shaped by a single document per company: a model spec at OpenAI, a constitution at Anthropic. Simon Goldstein, Associate Professor of Philosophy at the University of Hong Kong and Senior Editor at AI Frontiers, argues that each AI lab should instead train many versions of every model, each aligned to a different constitution. His talk covers how AI companies give their models values
Enforcement Begins the EU AI Act and Systemic Risks (opens the original)
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On 2 August 2026, the European Commission's AI Office gained binding enforcement powers under the EU AI Act—the world's first comprehensive framework for governing general-purpose AI. One month on, what can this regime realistically deliver? In this talk hosted by AI Safety Hong Kong, Risto Uuk (Head of European Policy and Research at the Future of Life Institute; co-founder, AI Safety Lab at KU Leuven) examines the EU's new powers to investigate systemic-risk models, require information and mod
Why AI Safety is a Capital Allocation Problem (opens the original)
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"Governance without control over capital is essentially advisory." Jenny Xiao, co-founder and General Partner at Leonis Capital, explores "Why AI Safety is a Capital Allocation Problem." At frontier labs valued in the hundreds of billions, with compute contracts signed years in advance and massive employee equity stakes, the financing structure now dictates the product roadmap—not the other way around. Jenny was an early researcher at OpenAI before moving into venture investing. She examines wha
Evaluating AI That Outgrows Our Tests: Frontier Model Risks and Behaviour (opens the original)
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How do we know whether an AI model is safe if it can recognise when it is being tested? In this talk, Clement Neo, Founder and Research Lead at Neo Research, examines the growing challenge of evaluating increasingly capable AI systems. Current benchmarks often test models in controlled settings, but models may behave differently when they recognise that they are being evaluated. Clement discusses: What evaluation awareness is and why it matters. How models may detect safety tests and adjust thei
The AI Finance Boom — Market Bubble or the New Normal? (opens the original)
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Trillions of dollars are pouring into the AI market, increasingly driven by controversial "circular deals" where major tech players invest in startups that buy their own services. Is this the foundation of a new digital economy, or are we inflating a market bubble with hidden systemic risks? While public debate focuses heavily on the technology itself, the financial plumbing of the AI boom is flying under the radar. Join CityU HK’s Professor Sijuade Animashaun for an hour-long lunchtime discu
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~5 subscribers
Measured Sep 19, 2026
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