Position: AI Lock-In Is in Progress, and We Must Be Prepared
arXiv cs.AIen
arXiv:2608.14565v1 Announce Type: new Abstract: AI safety research has mainly focused on two areas: technical alignment (ensuring AI systems produce human-aligned outputs) and the regulation of generative AI's societal impacts (including unemployment risk and labor market disruption). However, an equally important dimension remains underexplored: the risk inherent in dependence on AI systems themselves. In this position paper, we argue that AI safety research should address AI Lock-In, the phenomenon whereby excessive reliance on AI systems leads to human deskilling, diminishes human capacity for independent functioning, and creates systemic vulnerabilities when AI systems become unavailable
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
- Reglering
Related AI news
- Dienstag: Trump profitiert trotz Sanktionen, Cyberangriff auf Berliner Netzheise online – KI · August 18, 2026
- Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative ReviewarXiv cs.AI · August 18, 2026
- From Doyle to AGM: A Survey and an Implementation Roadmap for Belief ChangearXiv cs.AI · August 18, 2026
- Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit SystemarXiv cs.AI · August 18, 2026
- Longitudinal and Graph-Augmented Prediction of Adolescent Substance Use Onset in the ABCD StudyarXiv cs.AI · August 18, 2026
- An Agentic Framework Using Rules and LLMs for Embedding and Annotating Descriptive Document Layouts: A Plant Science Use CasearXiv cs.AI · August 18, 2026