Reduced decision-making capacity as a result of decreased trust in information
A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values
Highly personalized AI-generated misinformation creating “filter bubbles” where individuals only see what matches their existing beliefs, undermining shared reality, weakening social cohesion and political processes.
"In addition, the increased awareness of these trends in information production and distribution could make it harder for anyone to evaluate the trustworthiness of any information source, reducing overall trust in information. In all of these scenarios, it would be much harder for humanity to make good decisions on important issues, particularly due to declining trust in credible multipartisan sources, which could hamper attempts at cooperation and collective action. The vaccine and mask hesitancy that exacerbated Covid-19, for example, were likely the result of insufficient trust in public health advice [71]. These concerns could be especially worrying if they play out during another major world crisis. We could imagine an even more virulent pandemic, where actors exploit the opportunity to spread misinformation and disinformation to further their own ends. This could lead to dangerous practices, a significantly increased burden on health services, and much more catastrophic outcomes [64]."(p. 7)
Part of Worsened epistemic processes for society
Other risks from Clarke2023 (19)
Worsened conflict
6.4 Competitive dynamicsWorsened conflict > AI enables development of weapons of mass destruction
4.2 Cyberattacks, weapon development or use, and mass harmWorsened conflict > AI enables automation of military decision-making
5.2 Loss of human agency and autonomyWorsened conflict > AI-induced strategic instability
5.2 Loss of human agency and autonomyWorsened conflict > Resource conflicts driven by AI development
6.4 Competitive dynamicsIncreased power concentration and inequality
6.1 Power centralization and unfair distribution of benefits