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The sectors people least trusted to expand their use of AI are the media and the government. Less than a third of people trust these institutions to deploy more automated systems.
The conversation ranged from the ways AI is used to create warped realities, how companies can fight back against misinformation, and why the major AI platforms haven't focused on the ...
The Tesla CEO said AI is a “significant existential threat.” Elon Musk says there’s a 10% to 20% chance that AI ‘goes bad,’ even while he raises billions for his own startup xAI
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. [140]
Multiple essayists state that artificial general intelligence is still two to four decades away. Most of the essayists advice proceeding with caution. Hypothetical dangers discussed include societal fragmentation, loss of human jobs, dominance of multinational corporations with powerful AI, or existential risk if superintelligent machines develop a drive for self-preservation. [1]
At release time, the signatories included over 100 professors of AI including the two most-cited computer scientists and Turing laureates Geoffrey Hinton and Yoshua Bengio, as well as the scientific and executive leaders of several major AI companies, and experts in pandemics, climate, nuclear disarmament, philosophy, social sciences, and other ...
Former Google CEO Eric Schmidt said AI posed an "extreme risk" in some scenarios. He told BBC News the technology could be used in "a bad biological attack from some evil person." World leaders ...
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.