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Book cover of the 1979 paperback edition. Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI, What Computers Can't Do (1972; 1979; 1992) and Mind over Machine, he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field.
Concern over risk from artificial intelligence has led to some high-profile donations and investments. In 2015, Peter Thiel, Amazon Web Services, and Musk and others jointly committed $1 billion to OpenAI, consisting of a for-profit corporation and the nonprofit parent company, which says it aims to champion responsible AI development. [121]
Her research focuses on the role of artificial intelligence in journalism. Broussard has published features and essays in many outlets including The Atlantic, Harper’s Magazine, and Slate Magazine. Broussard has published a wide range of books examining the intersection of technology and social practice.
Companies set to benefit from the widespread adoption of AI are already reaping rewards in the form of growing stock prices—helping the Nasdaq rise an impressive 43% over the course of a year in ...
Prof Hinton said he fears AI will be bad for society if lots of people lost their jobs and all the benefit goes to rich people. “If you have a big gap between rich and poor, it’s very bad for ...
Our Final Invention: Artificial Intelligence and the End of the Human Era is a 2013 non-fiction book by the American author James Barrat. The book discusses the potential benefits and possible risks of human-level or super-human artificial intelligence. [1] Those supposed risks include extermination of the human race. [2]
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
The blog Reboot praised McQuillan for offering a theory of harm of AI (why AI could end up hurting people and society) that does not just encourage tackling in isolation specific predicted problems with AI-centric systems: bias, non-inclusiveness, exploitativeness, environmental destructiveness, opacity, and non-contestability. [12]