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Artificial general intelligence (AGI) is typically defined as a system that performs at least as well as humans in most or all intellectual tasks. [42] A 2022 survey of AI researchers found that 90% of respondents expected AGI would be achieved in the next 100 years, and half expected the same by 2061. [43]
There are hints buried in the early studies of AI about a way forward. Workers, while worried about AI, tend to like using it because it removes the most tedious and annoying parts of their job ...
AI alignment involves ensuring that an AI system's objectives match those of its designers or users, or match widely shared values, objective ethical standards, or the intentions its designers would have if they were more informed and enlightened. [40] AI alignment is an open problem for modern AI systems [41] [42] and is a research field ...
Neuromorphic AI could be one way to create morally capable robots, as it aims to process information similarly to humans, nonlinearly and with millions of interconnected artificial neurons. [8] Similarly, whole-brain emulation (scanning a brain and simulating it on digital hardware) could also in principle lead to human-like robots, thus ...
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AI literacy or artificial intelligence literacy, is the ability to understand, use, monitor, and critically reflect on AI applications. [1] The term usually refers to teaching skills and knowledge to the general public, particularly those who are not adept in AI.
Many of the concerns around AI from 2014 remain today, though the technology raising questions nine years ago was IBM’s Watson, a computer system that answered user questions but hasn’t ...
Using machine learning to detect bias is called, "conducting an AI audit", where the "auditor" is an algorithm that goes through the AI model and the training data to identify biases. [161] Ensuring that an AI tool such as a classifier is free from bias is more difficult than just removing the sensitive information from its input signals ...