We can debate the ethics of AI but can’t seem to change course | Letters
TL;DR
Guardian readers respond to a profile of Iason Gabriel, philosopher and research scientist at Google DeepMind. The main critique: AI ethics may be taken seriously by some builders, but capital, expected returns and geopolitical competition may already be setting the path. One letter reframes Roko’s Basilisk: the real pressure is not a future superintelligence, but today’s competition logic. Society has effectively chosen acceleration without a clear democratic decision about what AI should optimize for.
Nauti's Take
The strongest point is not that corporate AI ethicists are insincere. The harder point is that even serious ethics teams can become decorative when product, military and return incentives move faster than public accountability.
For users and buyers, the useful test is not responsible-AI language, but concrete limits, exclusions, audits and consequences when companies cross their own lines.
Briefingshow
The exchange hits a weak spot in the AI debate: ethics is often framed as a design problem, while the strongest levers sit outside the model. If investors, states and platform power set the pace, better moral frameworks inside labs are not enough. The harder questions are governance, procurement, liability and who has authority to slow acceleration down.
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