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The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled. One potential application is using AI to eliminate hazards by removing humans from hazardous situations that involve risk of stress, overwork, or musculoskeletal injuries.
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.
The dangers of AI algorithms can manifest themselves in algorithmic bias and dangerous feedback loops, and they can expand to all sectors of daily life, from the economy to social interactions, to ...
A “world-first” statement on the risks around artificial intelligence has been agreed ahead of the opening of the AI safety summit, the Technology Secretary said.
Labor displacement is a major concern about AI that the world needs to talk seriously about.
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. [137]
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]
The report also asserts that generative AI is both altering the current scope of existing human rights risks associated with digital technologies (including earlier forms of AI) and has unique ...
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