Essay argues AI needs “reverse alignment” to help society absorb rapid capability gains
profjamesevans · x · 2026-07-22
The essay argues that the hard problem is no longer just making AI more capable, but preparing society to absorb that capability.
It frames alignment as a two-sided problem and introduces reverse alignment: avoiding three institutional failures caused by neglect rather than by the technology itself:
- Productivity without prosperity
- Execution without verification
- Capacity without constraint
The piece says historical transitions were successful because technical change was paired with institutional invention, and it calls for work on personhood credentials, privacy beyond the anonymity binary, provenance, markets for training data, trust between agents, democratic capacity, workplace redesign, research evaluation, and labor transition.
The broader message: build social systems as ambitiously as algorithms.
Related event: Scholars Propose "Reverse Alignment" and Warn Against Static Alignment(11 posts)→
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