首页|George Washington University Researcher Discusses Findings in Artificial Intelligence (Controlling bad-actor-artificial intelligence activity at scale across online battlefields)

George Washington University Researcher Discusses Findings in Artificial Intelligence (Controlling bad-actor-artificial intelligence activity at scale across online battlefields)

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A new study on artificial intelligence is now available. According to news originating from Washington, District of Columbia, by NewsRx correspondents, research stated, “We consider the looming threat of bad actors using artificial intelligence (AI)/Generative Pretrained Transformer to generate harms across social media globally.” Funders for this research include Air Force Office of Scientific Research; John Templeton Foundation. Our news editors obtained a quote from the research from George Washington University: “Guided by our detailed mapping of the online multiplatform battlefield, we offer answers to the key questions of what bad-actor-AI activity will likely dominate, where, when-and what might be done to control it at scale. Applying a dynamical Red Queen analysis from prior studies of cyber and automated algorithm attacks, predicts an escalation to daily bad-actor-AI activity by mid-2024-just ahead of United States and other global elections.” According to the news editors, the research concluded: “We then use an exactly solvable mathematical model of the observed bad-actor community clustering dynamics, to build a Policy Matrix which quantifies the outcomes and trade-offs between two potentially desirable outcomes: containment of future bad-actorAI activity vs. its complete removal. We also give explicit plug-and-play formulae for associated risk measures.”

George Washington UniversityWashingtonDistrict of ColumbiaUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.9)
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