AI ethics is moral philosophy under deadline pressure. The classic trolley problem became urgent the moment Mercedes-Benz had to write the priority logic for a real autonomous vehicle. Privacy, consent, and the right to be opaque became live legal questions the day a recommendation system started predicting your choices better than you do. The articles below cover what 40 million votes on the MIT Moral Machine actually showed about cross-cultural value differences, why "anonymous" public voting is harder than it sounds, and what frontier labs are quietly choosing when they build safety guardrails. Then you vote — and the results contribute to the same kind of dataset researchers cite.
In 2018, researchers collected 40 million moral decisions from 233 countries on self-driving car crashes. Here is what the world actually believes — and why the answers split so sharply by culture.
Read →Governments and AI labs are moving toward pre-release safety testing for powerful models. The hard question is not whether safety matters - it is who gets to decide.
Read →Anonymous voting protects who you are. Aggregated data reveals what your group thinks. AI-driven inference can re-identify both. Privacy in 2026 is not one thing — and the dilemmas around it are getting harder, fast.
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