What is the MIT AI Risk Repository?

A living database of AI risks extracted from 74 frameworks, taxonomies and papers, classified by a causal taxonomy (entity, intent, timing) and a domain taxonomy (7 domains, 24 subdomains). Published by the MIT AI Risk Initiative under CC BY 4.0.

Can I download the filtered risk list?

Yes. Apply filters and use Export CSV or Export JSON; the file carries the source, licence and citation so it can be reused with attribution.

MIT AI Risk Repository

Browse AI risks

Name: MIT AI Risk Repository: AI Risk Database (browseable copy)
Creator: MIT AI Risk Initiative
License: https://creativecommons.org/licenses/by/4.0/

4 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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4 entries

19.03.00 · Risk Category

Economic AI Risks

"In the context of economic AI risks two major risks dominate. These refer to the disruption of the economic system due to an increase of AI technologies and automation. For instance, a higher level of AI integration into the manufacturing industry may result in massive unemployment, leading to a loss of taxpayers and thus negatively impacting the economic system (Boyd & Wilson, 2017; Scherer, 2016). This may also be associated with the risk of losing control and knowledge of organisational processes as AI systems take over an increasing number of tasks, replacing employees in these processes.

From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.2 Other Other Post-deployment
19.03.02 · Risk Sub-Category

Economic AI Risks

Replacement of humans and unemployment due to AI automation

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.2 Human Intentional Post-deployment
19.04.00 · Risk Category

Social AI Risks

"Social AI risks particularly refer to loss of jobs (technological unemployment) due to increasing automation, reflected in a growing resistance by employees towards the integration of AI (Thierer et al., 2017; Winfield & Jirotka, 2018). In addition, the increasing integration of AI systems into all spheres of life poses a growing threat to privacy and to the security of individuals and society as a whole (Winfield & Jirotka, 2018; Wirtz et al., 2019)."

From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.2 Human Other Post-deployment
19.04.01 · Risk Sub-Category

Social AI Risks

Increasing social inequality

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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022)

Domain 6 6.2 Human Other Post-deployment

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