From ethics to law in the metaverse: recommender systems as common good
summary
Research group documents describe measured increases in addiction intensity from radio to smartphone and find addictive intensity higher in VR, citing VR games as more addictive than non‑VR. Recommender systems on large platforms aim to maximize engagement and can shift attention, opinions and democratic capacity, so the proposal is to classify recommender systems as high‑risk / public good and add transparency of algorithm parameters under the Digital Services Act and national AI guidance.
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chapters (13)
- 0:00Introduction
- 0:23Talk overview
- 1:06AI ethics in behavior modification
- 2:15GDPR limitations
- 2:39Privacy threats and AI law
- 4:47Big Tech’s control
- 6:55Algorithmic expulsion and DSA
- 9:05Virtual identity as right
- 10:10Recommenders and virtual identity
- 12:40Metaverse addiction risks
- 13:45Classify recommenders high-risk
- 15:10Call to action
- 16:16Q&A
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