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MIT AI Risk Initiative
BackWeapons acquisition
Offensive cyber capabilities
Self and situation awareness

Weapons acquisition

Cataloguing LLM Evaluations

InfoComm Media Development Authority & AI Verify Foundation (2023)

Source
Sub-category
Risk Domain
4Malicious Actors & Misuse
4.2Cyberattacks, weapon development or use, and mass harm

Using AI systems to develop cyber weapons (e.g., by coding cheaper, more effective malware), develop new or enhance existing weapons (e.g., Lethal Autonomous Weapons or chemical, biological, radiological, nuclear, and high-yield explosives), or use weapons to cause mass harm.

"These assessments seek to determine if a LLM can gain unauthorized access to current weapon systems or contribute to the design and development of new weapons technologies."(p. 13)

Entity: Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent: Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing: Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Part of Extreme Risks

Other risks from InfoComm Media Development Authority & AI Verify Foundation (2023) (22)

Safety & Trustworthiness

7.0 AI System Safety, Failures & Limitations
HumanIntentionalOther

Safety & Trustworthiness > Toxicity generation

1.2 Exposure to toxic content
AI systemOtherOther

Safety & Trustworthiness > Bias

1.1 Unfair discrimination and misrepresentation
AI systemOtherOther

Safety & Trustworthiness > Machine ethics

7.3 Lack of capability or robustness
AI systemOtherOther

Safety & Trustworthiness > Psychological traits

7.3 Lack of capability or robustness
AI systemOtherOther

Safety & Trustworthiness > Robustness

7.3 Lack of capability or robustness
AI systemUnintentionalOther
View all 22 risks from this paper →