A quality engineer's guide to the Helpful, Honest, and Harmless Framework (HHH)

Use HHH to help guide your AI quality principles

A quality engineer's guide to the Helpful, Honest, and Harmless Framework (HHH) image

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Rosie Sherry
CEO & Founder at Ministry of Testing
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I've been working in the software testing and quality engineering space since the year 2000 whilst also combining it with my love for education and community building. 🎓 MoT-STEC qualified
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Gary Hawkes
My fear with this framework is it implies that AI is a "must use tool", hence a framework is needed to ensure that the AI is performing as we would want. It implies its more important to make sure AI is right, than getting the job done. AI should be nothing more than an advisor where we ultimately take responsibility for whether we use its findings or not. It shouldn't be about working on the AI to make sure it gives answers that are good enough where we can renege on our responsibilities.

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