AI's Collateral Damage Grows Harder to Ignore
Source: Marcus on AI
The backlash against generative AI is coalescing around concrete harms: test-taking cheating, nonconsensual deepfake pornography, algorithmic hiring discrimination. Unlike earlier tech skepticism, costs are materializing faster than benefits are proving themselves in education, employment, or elsewhere. Institutions are reacting defensively rather than adopting optimistically. This creates real pressure on AI companies to demonstrate measurable safeguards rather than promise responsible development, and gives legitimacy to regulatory approaches that would have seemed extreme eighteen months ago.