Responsible AI
A set of principles and practices for building and deploying AI ethically — covering fairness, accountability, transparency, privacy, safety, and societal impact. Increasingly a regulatory expectation and stakeholder requirement, not just a nice-to-have. For most companies using Claude, responsible AI means: understanding what Claude can and can't do, testing for failure modes before deploying, being transparent with users that they're talking to AI, and having a process when something goes wrong.
In practice
Your company is deploying Claude for hiring screening. Responsible AI means asking the hard questions before launch: does it perform differently across demographic groups? Who reviews its decisions? What happens when it's wrong? It's the practice of treating AI deployment with the same rigor you'd apply to any high-stakes business process.
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