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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. [124]
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]
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 ...
“Some models are going to have a drastically larger impact on society, and those should be held to a higher standard, whereas some others are more exploratory and it might not make sense to have ...
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 ...
Artificial intelligence researchers, professors and legal experts are concerned about AI’s mass adoption before regulators have the ability or willingness to rein it in. Hundreds of these ...
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.
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.