I’ve occasionally written for and spoken to media and public audiences about issues of general interest, mostly to do with the use of machine learning systems in medicine and the governance of very capable artificial systems. Below are a few links.
- A post on New Work in Philosophy describing my recent paper objecting to medical uses of machine learning for a broader audience.
- An op-ed in the South China Morning Post arguing that present proposals for regulating AI have a product-liability-shaped gap in them.
- An op-ed in the Bulletin of Atomic Scientists arguing that most AI research should not be publicly released.
- An interview with BBC Radio 4 Today (together with Dame Wendy Hall) on risk from advanced machine learning systems.
- Comments to Rolling Stone on the corporate use of data to train private machine learning models in the wake of Zoom’s change to its terms of service.
- An op-ed in the Hong Kong Free Press arguing that Hong Kong can (and should) be a world leader in regulating AI systems.
- An interview with Bloomberg Radio about the regulation of AI systems in Europe.
- An interview with Ming Pao (Chinese language) about why mitigating risk from sufficiently capable artificial systems should be a global priority.