Record summary
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Risk profile
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"Beyond this, the widespread adoption of advanced AI assistants for content generation could have a number of negative consequences for our shared information ecosystem. One concern is that it could result in a degradation of the quality of the information available online. Researchers have already observed an uptick in the amount of audiovisual misinformation, elaborate scams and fake websites created using generative AI tools (Hanley and Durumeric, 2023). As more and more people turn to AI assistants to autonomously create and disseminate information to public audiences at scale, it may become increasingly difficult to parse and verify reliable information. This could further threaten and complicate the status of journalists, subject-matter experts and public information sources. Over time, a proliferation of spam, misleading or low-quality synthetic content in online spaces could also erode the digital knowledge commons – the shared knowledge resources accessible to everyone on the web, such as publicly accessible data repositories (Huang and Siddarth, 2023). At its extreme, such degradation could also end up skewing people’s view of reality and scientific consensus, make them more doubtful of the credibility of all information they encounter and shape public discourse in unproductive ways. Moreover, in an online environment saturated with AI-generated content, more and more people may become reliant on personalised, highly capable AI assistants for their informational needs. This also runs the risk of homogenising the type of information and ideas people encounter online (Epstein et al., 2023)."
Suggested mitigations
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Source
Research source for this risk, when available.
Included resource
The Ethics of Advanced AI Assistants
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
