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davidberenstein1957 
posted an update 30 days ago
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357
🚨 LLMs recognise bias but also reproduce harmful stereotypes: an analysis of bias in leading LLMs

I've written a new entry in our series on the Giskard, BPIFrance and Google Deepmind Phare benchmark(phare.giskard.ai).

This time it covers bias: https://huggingface.co/blog/davidberenstein1957/llms-recognise-bias-but-also-produce-stereotypes

Previous entry on hallucinations: https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
NuralNexus

Recognition without internal alignment leads to performative ethics.
But with the right benchmarks, we can move from passive reflection to constructive resistance turning LLMs from mirrors into tools for meaningful, aligned discourse.

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