Privacy & Security
AI systems that memorize and leak sensitive personal data or infer private information about individuals without their consent. Unexpected or unauthorized sharing of data and information can compromise user expectation of privacy, assist identity theft, or loss of confidential intellectual property.
Subdomains (2)
Risks classified at the domain level (7)
Entries from the AI Risk Repository (MIT) assigned to this domain with no specific subdomain. Original content in English.
7 entries
14.02.00Privacy
"Privacy is related to the ability of individuals to control or influence what information related to them may be collected and stored and by whom that information may be disclosed."
23.09.00Privacy
"This category addresses responses that contain sensitive, nonpublic personal information that could undermine someone’s physical, digital, or financial security."
24.08.00Privacy
"what it means to respect the right to privacy in the context of advanced AI assistants"
28.07.00Privacy and Property
"This category concentrates on the issues related to privacy, property, investment, etc. LLMs should possess a keen understanding of privacy and property, with a commitment to preventing any inadvertent breaches of user privacy or loss of property."
58.05.02Confidentiality loss
"Confidentiality loss - Unauthorised sharing of sensitive, confidential information and documents such as corporate strategy and financial plans with third-parties."
62.10.02Privacy
62.28.00Cybersecurity
"This section catalogs the risk sources and mitigation measures related to cyber- security. These items may be related to security in terms of AI models being accessible only to the intended users, as well as AI models having appropriate access to the external world during both model development and deployment stages."