Northeastern expert wants to move AI governance from principles to practice
A Northeastern University researcher is advocating for AI governance to shift beyond abstract principles toward concrete, enforceable practice. The argument centers on closing the gap between what organizations say about responsible AI and what they actually do.
Why this matters: Most AI ethics work right now lives in documents. Principles, frameworks, commitments — all of it easy to publish, hard to verify, and even harder to enforce. The gap between a company's stated AI values and its actual behavior is where real harm happens. Moving from principles to practice means accountability you can point to, audit, and act on. Without that, governance is just a press release with extra steps.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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