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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.
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 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 ...
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 ...
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...
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 ...
Skeptics of the letter point out that AI has failed to reach certain milestones, such as predictions around self-driving cars. [4] Skeptics also argue that signatories of the letter were continuing funding of AI research. [3] Companies would benefit from public perception that AI algorithms were far more advanced than currently possible. [3]