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Category: Misinformation
Potential Source of Harm: Political - Election Interference
Updated April 16, 2024
Nature of Harm
Election interference involves the dissemination of AI-generated content (e.g. text, images, video or audio) that alters the behavior of voters in democratic elections. It can involve fabricated or misleading content, as well as content whose source is misidentified.
Communication of false information in elections is a problem that has existed for centuries. In the modern era, false information has been communicated at scale without the use of AI. However, the availability of LLM-enabled content generation significantly increases the ability of election attackers to generate misleading content at scale, including persuasively fabricated images, videos and recordings of candidates.
Techniques similar to those used for election interference can be also used to alter public opinion for various other political purposes. This is identified separately in our harms register, and we plan to add a separate page on it.
For a bit of educational fun, you can take this Misinformation Susceptibility Test from the University of Cambridge.
Regulatory and Governance Solutions
Election interference is a very difficult problem to address, because most democratic countries place fairly limited restrictions on access to mass media, including by malicious actors. Regulatory and governance approaches to date have generally a few main forms:
election rules adopted in Brazil in February 2024
However, these measures are unlikely to have significant effects on malicious actors seeking to influence elections.
As for other type of AI misinformation threats, it is likely to be crucial that populations are well-educated about the risks of misinformation, and therefore less likely to trust inaccurate content. For example, Bellingcat has produced useful guidance on how to avoid being deceived, and The Future US is planning an advertising campaign to inform US voters about misinformation.
Technical Solutions
Technical solutions to content-based election interference are challenging, including because AI-generated content (especially text content) can be very difficult to identify. However, there are some useful corporate initiatives:
Meta in February 2024 announced a team focused on addressing disinformation and other AI-related harms in connection with the June 2024 European Parliament elections.
Start-ups have developed tools that assist in identifying misinformation, e.g.:
Government and Private Entities
Governments and election bodies around the world are taking a variety of steps to address election interference, as are a large number of private entities (including NGOs and political groups).