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This bias often stems from training data that reflects historical and systemic inequalities. For example, AI systems used in hiring, law enforcement, or healthcare may disproportionately disadvantage certain racial groups by reinforcing existing stereotypes or underrepresenting them in key areas.
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]
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 ...
Patrick Soon-Shiong, the owner of the Los Angeles Times, is sparking backlash with a decision to add a “bias meter” to articles the news organization publishes and other editorial decisions.
The consequences of algorithmic bias could mean that Black and Hispanic individuals end up paying more for insurance and experience debt collection at higher rates, among other financial ...
AI will be used by the public sector to enable its workers to spend less time doing admin and more time delivering services. Several "AI Growth Zones" around the UK will be created, involving big ...
In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [1] [2] confabulation [3] or delusion [4]) is a response generated by AI that contains false or misleading information presented as fact.
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 ...