AI degradation: Difference between revisions
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'''AI model quality degradation and consumer transparency''' refers to a set of systemic practices in the artificial intelligence industry that affect consumers using AI-powered products. These issues include the silent degradation of AI output quality over time due to self-referential training loops, increasing electricity costs passed to residential consumers from AI data center expansion, the deployment of AI systems in high-stakes consumer decisions without the ability to explain those decisions, and industry infrastructure narratives that limit independent oversight. | '''AI model quality degradation and consumer transparency''' refers to a set of systemic practices in the artificial intelligence industry that affect consumers using AI-powered products. These issues include the silent degradation of AI output quality over time due to self-referential training loops, increasing electricity costs passed to residential consumers from AI data center expansion, the deployment of AI systems in high-stakes consumer decisions without the ability to explain those decisions, and industry infrastructure narratives that limit independent oversight. | ||
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==References== | ==References== | ||
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==External links== | ==External links== | ||
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*[https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/ MIT Technology Review — AI energy footprint analysis] | *[https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/ MIT Technology Review — AI energy footprint analysis] | ||
*[https://raconteur.net/technology/beyond-the-black-box-the-new-explainability-rule-for-enterprise-ai Raconteur — EU AI Act explained] | *[https://raconteur.net/technology/beyond-the-black-box-the-new-explainability-rule-for-enterprise-ai Raconteur — EU AI Act explained] | ||
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