Scholars Propose "Reverse Alignment": Pay Data Creators by Contribution and Surprise

James Evans and the Sociotechnical Grand Challenges Coalition launched a "Reverse Alignment" initiative, proposing to pay data creators based on measurable contribution and "surprise" instead of citation counts. Its mechanisms—attestation webs, bridged aggregation, and surprise-weighted rewards—also defend against fake agent identities, manufactured consensus, and synthetic content flooding.

2026-11-06 ~ 2026-11-06 · 3 related posts

• Evans: pay data creators by contribution and surprise, verify via webs of attestation — profjamesevans · 2026-11-06
• Evans: attestation webs resist agent swarms, bridging resists manufactured consensus — profjamesevans · 2026-11-06
• "Reverse Alignment" initiative argues society—not just models—needs to be aligned for AI — profjamesevans · 2026-11-06