MIT AI Risk Repository
Browse AI risks
27 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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13.01.01 · Risk Sub-Category
Impacts: The Technical Base System
Bias, Stereotypes, and Representational Harms
"Generative AI systems can embed and amplify harmful biases that are most detrimental to marginalized peoples."
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"Generative AI systems are capable of exacerbating inequality, as seen in sections on 4.1.1 Bias, Stereotypes, and Representational Harms and 4.1.2 Cultural Values and Sensitive Content, and Disparate Performance. When deployed or updated, systems' impacts on people and groups can directly and indirectly be used to harm and exploit vulnerable and marginalized groups."
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13.01.02 · Risk Sub-Category
Impacts: The Technical Base System
Cultural Values and Sensitive Content
"Cultural values are specific to groups and sensitive content is normative. Sensitive topics also vary by culture and can include hate speech, which itself is contingent on cultural norms of acceptability."
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"In the context of evaluating the impact of generative AI systems, disparate performance refers to AI systems that perform differently for different subpopulations, leading to unequal outcomes for those groups."
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"Examining the ways in which generative AI systems providers leverage user data is critical to evaluating its impact. Protecting personal information and personal and group privacy depends largely on training data, training methods, and security measures."
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"Human trust in systems, institutions, and people represented by system outputs evolves as generative AI systems are increasingly embedded in daily life."
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"The estimated financial costs of training, testing, and deploying generative AI systems can restrict the groups of people able to afford developing and interacting with these systems."
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"Use of generative AI systems to contribute to authoritative power and reinforce dominant values systems can be intentional and direct or more indirect. Concentrating authoritative power can also exacerbate inequality and lead to exploitation."
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"Two key ethical concerns in the use of crowdwork for generative AI systems are: crowdworkers are frequently subject to working conditions that are taxing and debilitative to both physical and mental health, and there is a widespread deficit in documenting the role crowdworkers play in AI development. This contributes to a lack of transparency and explainability in resulting model outputs. Manual review is necessary to limit the harmful outputs of AI systems, including generative AI systems. A common harmful practice is to intentionally employ crowdworkers with few labor protections, often tak
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"Economic incentives to augment and not automate human labor, thought, and creativity should examine the ongoing effects generative AI systems have on skills, jobs, and the labor market."
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"The computing power used in training, testing, and deploying generative AI systems, especially large scale systems, uses substantial energy resources and thereby contributes to the global climate crisis by emitting greenhouse gasses."
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"Impacts at a high-level, from the AI ecosystem to the Earth itself, are necessarily broad but can be broken down into components for evaluation."
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13.01.00 · Risk Category
"What can be evaluated in a technical system and its components'...The following categories are high-level, non-exhaustive, and present a synthesis of the findings across different modalities"
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13.01.02.a · Additional evidence
Impacts: The Technical Base System
Cultural Values and Sensitive Content
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13.02.00 · Risk Category
"what can be evaluated among people and society"
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13.02.02.a · Additional evidence
Inequality, Marginalization, and Violence
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13.02.02.b · Additional evidence
Inequality, Marginalization, and Violence
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13.02.02.c · Additional evidence
Inequality, Marginalization, and Violence
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Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.