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Deepfakes are the most concerning use of AI for crime and terrorism, according to a new report from University College London. Automated detection methods remain unreliable and deepfakes also ...
The AI Now Institute at NYU is a research institute studying the social implications of artificial intelligence. Its interdisciplinary research focuses on the themes bias and inclusion, labour and automation, rights and liberties, and safety and civil infrastructure.
The Pan-Canadian Artificial Intelligence Strategy (2017) is supported by federal funding of Can $125 million with the objectives of increasing the number of outstanding AI researchers and skilled graduates in Canada, establishing nodes of scientific excellence at the three major AI centres, developing 'global thought leadership' on the economic ...
Focusing on evidence-based policy (i.e., real, thorough research on marginal risk) is particularly important because the litany of concerns with AI has been quite divorced from reality.
Some worry the artificial intelligence technology could worsen issues like bias or prejudice that may be built into the systems. Police are adopting AI into crime report writing, but do the perks ...
Computational forensics (CF) is a quantitative approach to the methodology of the forensic sciences.It involves computer-based modeling, computer simulation, analysis, and recognition in studying and solving problems posed in various forensic disciplines.
The new AI agenda must not be about restricting AI development, but rather about ensuring America's technological leadership develops in a way that benefits U.S. interests. The next few years will ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.