How you are getting F*****; AI edition: Difference between revisions
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{{IncidentCargo}}'''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. | {{Cleanup|Issue 1 = Citations need to follow proper formatting. See [[Template:Cite web]] for info. | ||
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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. | |||
These issues are systemic and have been documented by the International Energy Agency, peer-reviewed research published in ''Nature'', IBM Security, the European Union's AI Act enforcement body, and the U.S. Consumer Financial Protection Bureau. | These issues are systemic and have been documented by the International Energy Agency, peer-reviewed research published in ''Nature'', IBM Security, the European Union's AI Act enforcement body, and the U.S. Consumer Financial Protection Bureau. | ||