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The most predominant view on how bias is introduced into AI systems is that it is embedded within the historical data used to train the system. [25] For instance, Amazon terminated their use of AI hiring and recruitment because the algorithm favored male candidates over female ones. This was because Amazon's system was trained with data ...
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. [139]
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
"Right now, AI is like a steam engine, which was quite disruptive when introduced to society," he said in a recent video. He then used a different metaphor, saying it will evolve in a few years to ...
Asilomar Conference on Beneficial AI was held, to discuss AI ethics and how to bring about beneficial AI while avoiding the existential risk from artificial general intelligence. Deepstack [ 121 ] is the first published algorithm to beat human players in imperfect information games, as shown with statistical significance on heads-up no-limit ...
In January 2023, the New York City Bias Audit Law (Local Law 144 [172]) was enacted by the NYC Council in November 2021. Originally due to come into effect on 1 January 2023, the enforcement date for Local Law 144 has been pushed back due to the high volume of comments received during the public hearing on the Department of Consumer and Worker ...
Los Angeles Times owner Patrick Soon-Shiong, who blocked the newspaper’s endorsement of Kamala Harris and plans to overhaul its editorial board, says he will implement an artificial intelligence ...
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. [166] 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 ...