MIT AI Risk Repository · Risk Category · 53.04.00
Indirect AI contributions to existential risks
Description
"Work focused at understanding indirect ways in which AI could contribute to existential threats, such as by shaping societal “turbulence”193 and other existential risk factors.194 This covers various long-term impacts on societal parameters such as science, cooperation, power, epistemics, and values:"
From Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- —
- Subdomain
- —
- Causal entity
- AI
- Intent
- Unintentional
- Timing
- Post-deployment
Other entries from Maas2023
- Alignment failures in existing ML systems
- Faulty reward functions in the wild
- Specification gaming
- Reward model overoptimization
- Instrumental convergence
- Goal misgeneralization
- Inner misalignment
- Language model misalignment
- Harms from increasingly agentic algorithmic systems
- Dangerous capabilities in AI systems
- Situational awareness
- Acquisition of a goal to harm society