Why it's vital to consistently evaluate AI systems through a more humane approach to deal with bias

AI systems could be consistently evaluated and tested against predetermined indicators for bias, and results be made public to incentivise improvements and provide necessary information to other stakeholders engaging with such systems. Such regulatory frameworks need not be hardcoded.

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,Ai Systems ,Training Data ,Perspectives ,Human Bias ,Trust ,Credibility ,Indicators For Bias ,Accountability Mechanisms ,Ai Explainability ,Reskilling ,