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Economic leaders had a lot to say about the future of artificial intelligence in the workforce — and the perspectives vary. ... AI at the World Economic Forum in Davos, Switzerland, on Jan. 17 ...
The environmental impacts of artificial intelligence (AI) may vary significantly. Many deep learning methods have significant carbon footprints and water usage. [1] Some scientists have suggested that artificial intelligence may provide solutions to environmental problems.
The second thesis is that advances in artificial intelligence will render humans unnecessary for the functioning of the economy: human labor declines in relative economic value if robots are easier to cheaply mass-produce then humans, more customizable than humans, and if they become more intelligent and capable than humans. [8] [9] [10]
Regulation of artificial intelligence is the development of public ... [60] In September 2019 the World Economic Forum issued ten ... of AI to positively impact ...
Discussions focused on geopolitical stability, economic resilience, climate change, [66] artificial intelligence governance, and inclusive economic growth. Sessions covered topics such as the future of global trade, energy transition, and the impact of artificial intelligence and automation on the labor market.
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 ...
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence is a book by Australian academic Kate Crawford. It is based on Crawford's research into the development and labor behind artificial intelligence, as well as AI's impact on the world.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]