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arXiv · 2308.00879

Controlling bad-actor-AI activity at scale across online battlefields

Neil F. Johnson·Richard Sear·Lucia Illari
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Abstract

We show how the looming threat of bad actors using AI/GPT to generate harms across social media, can be addressed at scale by exploiting the intrinsic dynamics of the social media multiverse. We combine a uniquely detailed description of the current bad-actor-mainstream battlefield with a mathematical description of its behavior, to show what bad-actor-AI activity will likely dominate, where, and when. A dynamical Red Queen analysis predicts an escalation to daily bad-actor-AI activity by early 2024, just ahead of U.S. and other global elections. We provide a Policy Matrix that quantifies outcomes and trade-offs mathematically for the policy options of containment vs. removal. We give explicit plug-and-play formulae for risk measures.

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Neil F. Johnson, Richard Sear, Lucia Illari. 2023-08-01. Controlling bad-actor-AI activity at scale across online battlefields. https://arxiv.org/abs/2308.00879

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