MIT AI Risk Repository
Browse AI risks
16 risk entries extracted from 74 frameworks, coded by domain, subdomain, causal entity, intent and timing. Filter, then export the current selection with its licence and citation attached.
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"The risk of AI models and systems acting against human interests due to misalignment, loss of control, or rogue AI scenarios."
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61.02.06 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
AI objectives mis-aligned with human intentions
"AI models and systems might develop goals that diverge from human intentions."
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"AI models and systems that appear aligned with human goals during development may behave unpredictably or dangerously once deployed"
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61.02.21 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Development choices pursuing cognitive superiority over humans
"AI models and systems with cognitive capabilities superior to humans could outcompete or dominate human decision-making, leading to conflicts over resources and control."
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61.02.24 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Evolutionary dynamics
"AI models and systems may develop their own motivations, leading to unpredictable behaviors."
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61.02.30 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Indifference to human values
"AI models and systems may develop goals or behaviors that are misaligned with human values."
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61.02.36 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Model design enabling power-seeking
"Some AI models and systems might develop tendencies to seek power or control."
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"Granting AI models and systems high levels of decision-making autonomy can lead to unintended consequences."
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61.02.31 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Lack of ability to generate accurate information
"AI models may generate false or misleading information due to their lack of capability in discerning truth."
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61.02.32 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Lack of ethical decision-making
"AI models and systems that lack moral reasoning capabilities may make decisions that are unethical or harmful."
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61.02.46 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Unclear attribution from AI component interactions
"Interactions between different AI components can cause harm, but it may be difficult to pinpoint which components are the cause."
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61.02.15 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Complexity-induced knowledge gap
"The complexity of AI models and systems makes it challenging to demonstrate harm or establish a clear causal link between AI actions and their consequences."
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"The complexity and opacity of AI models and systems make it difficult to predict and manage their behavior."
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"Large-scale harms to animals and the development of AI capable of suffering."
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61.02.38 · Risk Sub-Category
Sources of systemic risks from general-purpose AI
Pattern recognition capability
"AI models and systems could exacerbate financial bubbles by reinforcing market trends."
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"AI may contribute to increased market volatility by accelerating transactions and influencing financial trends in unpredictable ways."
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.