Feb 6, 2025 01:46 AM
Parody Alcove: Ironically, the backbone of intelligence is having preferences. Otherwise, _X_ is just random activity that does not distinguish, select, judge, investigate, and organize anything in a repetitive or systematic fashion.
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How AI bias shapes everything from hiring to healthcare
https://www.eurekalert.org/news-releases/1072700
INTRO: Generative AI tools like ChatGPT, DeepSeek, Google’s Gemini and Microsoft’s Copilot are transforming industries at a rapid pace. However, as these large language models become less expensive and more widely used for critical decision-making, their built-in biases can distort outcomes and erode public trust.
Naveen Kumar, an associate professor at the University of Oklahoma’s Price College of Business, has co-authored a study emphasizing the urgent need to address bias by developing and deploying ethical, explainable AI. This includes methods and policies that ensure fairness and transparency and reduce stereotypes and discrimination in LLM applications.
“As international players like DeepSeek and Alibaba release platforms that are either free or much less expensive, there is going to be a global AI price race,” Kumar said. “When price is the priority, will there still be a focus on ethical issues and regulations around bias? Or, since there are now international companies involved, will there be a push for more rapid regulation? We hope it’s the latter, but we will have to wait and see.”
According to research cited in their study, nearly a third of those surveyed believe they have lost opportunities, such as financial or job prospects, due to biased AI algorithms. Kumar notes that AI systems have focused on removing explicit biases, but implicit biases remain. As these LLMs become smarter, detecting implicit bias will be more challenging. This is why the need for ethical policies is so important... (MORE - details)
http://dx.doi.org/10.1016/j.im.2025.104103
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How AI bias shapes everything from hiring to healthcare
https://www.eurekalert.org/news-releases/1072700
INTRO: Generative AI tools like ChatGPT, DeepSeek, Google’s Gemini and Microsoft’s Copilot are transforming industries at a rapid pace. However, as these large language models become less expensive and more widely used for critical decision-making, their built-in biases can distort outcomes and erode public trust.
Naveen Kumar, an associate professor at the University of Oklahoma’s Price College of Business, has co-authored a study emphasizing the urgent need to address bias by developing and deploying ethical, explainable AI. This includes methods and policies that ensure fairness and transparency and reduce stereotypes and discrimination in LLM applications.
“As international players like DeepSeek and Alibaba release platforms that are either free or much less expensive, there is going to be a global AI price race,” Kumar said. “When price is the priority, will there still be a focus on ethical issues and regulations around bias? Or, since there are now international companies involved, will there be a push for more rapid regulation? We hope it’s the latter, but we will have to wait and see.”
According to research cited in their study, nearly a third of those surveyed believe they have lost opportunities, such as financial or job prospects, due to biased AI algorithms. Kumar notes that AI systems have focused on removing explicit biases, but implicit biases remain. As these LLMs become smarter, detecting implicit bias will be more challenging. This is why the need for ethical policies is so important... (MORE - details)
http://dx.doi.org/10.1016/j.im.2025.104103