Misinformation
AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms
Subdomains (2)
Risks classified at the domain level (5)
Entries from the AI Risk Repository (MIT) assigned to this domain with no specific subdomain. Original content in English.
5 entries
16.03.00Risk area 3: Misinformation Harms
"These risks arise from the LM outputting false, misleading, nonsensical or poor quality information, without malicious intent of the user. (The deliberate generation of "disinformation", false information that is intended to mislead, is discussed in the section on Malicious Uses.) Resulting harms range from unintentionally misinforming or deceiving a person, to causing material harm, and amplifying the erosion of societal distrust in shared information. Several risks listed here are well-documented in current large-scale LMs as well as in other language technologies"
17.03.00Misinformation Harms
"Harms that arise from the language model providing false or misleading information"
18.02.00Misinformation Harms
"AI systems generating and facilitating the spread of inaccurate or misleading information that causes people to develop false beliefs"
24.11.00Misinformation risks
"The rapid integration of AI systems with advanced capabilities, such as greater autonomy, content generation, memorisation and planning skills (see Chapter 4) into personalised assistants also raises new and more specific challenges related to misinformation, disinformation and the broader integrity of our information environment. "
58.07.06Historical revisionism
"Historical revisionism - Deliberate or unintentional reinterpretation of established/orthodox historical events or accounts held by societies, communities, academics."