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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]
Artificial intelligence is becoming more and more sophisticated every year, what would it mean for humans if it one day achieves true consciousness?
Artificial consciousness, [1] also known as machine consciousness, [2] [3] synthetic consciousness, [4] or digital consciousness, [5] is the consciousness hypothesized to be possible in artificial intelligence. [6]
The section on the Right to Work and to Gain a Living was also interesting and increasingly relevant, exploring how Generative AI could drastically alter economics, labor markets, and daily work ...
In May, Musk responded to a Breitbart article on X quoting Nobel Prize winner Geoffrey Hinton’s warnings about the dangers of AI. And he reiterated his warning about AI during the summit this week.
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.
In a new interview, AI expert Kai-Fu Lee explained the top four dangers of burgeoning AI technology: externalities, personal data risks, inability to explain consequential choices, and warfare.
Weak AI hypothesis: An artificial intelligence system can (only) act like it thinks and has a mind and consciousness. The first one he called "strong" because it makes a stronger statement: it assumes something special has happened to the machine that goes beyond those abilities that we can test.