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Artificial intelligence is being increasingly used by police forces, but critics are worried.
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 ...
Some worry the artificial intelligence technology could worsen issues like bias or prejudice that may be built into the systems.
This has led to the ban of police usage of AI materials or software in some U.S. states. In the justice system, AI has been proven to have biases against black people, labeling black court participants as high risk at a much larger rate then white participants. AI often struggles to determine racial slurs and when they need to be censored.
AI and AI ethics researchers Timnit Gebru, Emily M. Bender, Margaret Mitchell, and Angelina McMillan-Major have argued that discussion of existential risk distracts from the immediate, ongoing harms from AI taking place today, such as data theft, worker exploitation, bias, and concentration of power. [139]
Discussions on regulation of AI in the United States have included topics such as the timeliness of regulating AI, the nature of the federal regulatory framework to govern and promote AI, including what agency should lead, the regulatory and governing powers of that agency, and how to update regulations in the face of rapidly changing ...
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.
A broad range of objects, substances and processes are investigated, which are mainly based on pattern evidence, such as toolmarks, fingerprints, shoeprints, documents etc., [1] but also physiological and behavioral patterns, DNA, digital evidence and crime scenes.