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Extensive video surveillance systems were relegated to merely recording for possible forensic use to identify someone, after the fact of a theft, arson, attack or incident. Where wide angle camera views were employed, particularly for large outdoor areas, severe limitations were discovered even for this purpose due to insufficient resolution. [4]
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.
AI has also seen increased usage in criminal justice and healthcare. For medicinal means, AI is being used more often to analyze patient data to make predictions about future patients' conditions and possible treatments. These programs are called Clinical decision support system (DSS). AI's future in healthcare may develop into something ...
Microsoft is launching a new AI system that watches everything its user does on their computer. The system is intended to be like having a “photographic memory” so that users can recall what ...
Zvi Mowshowitz, a former startup founder who writes frequently about AI safety, pointed out in a blog post that OpenAI has admitted that the system card for o1 doesn’t actually reflect the ...
The Center for AI Safety (CAIS) is a nonprofit organization based in San Francisco, that promotes the safe development and deployment of artificial intelligence (AI). CAIS's work encompasses research in technical AI safety and AI ethics , advocacy, and support to grow the AI safety research field.
If you're working from home, check out these tips to ensure you're safe from identity theft, malware and viruses.
The thesis that AI poses an existential risk, and that this risk needs much more attention than it currently gets, has been endorsed by many computer scientists and public figures, including Alan Turing, [a] the most-cited computer scientist Geoffrey Hinton, [121] Elon Musk, [12] OpenAI CEO Sam Altman, [13] [122] Bill Gates, and Stephen Hawking ...