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Independent Certification For AI Trustworthiness Makes Important Headway At DTC And Harvard BKC Workshop
LE

Lance Eliot, Contributor

· 1 min read

World NewsForbes: Innovation

Independent Certification For AI Trustworthiness Makes Important Headway At DTC And Harvard BKC Workshop

In today’s column, I explore a vital effort underway that seeks to develop an independent certification for gauging AI trustworthiness. The effort deserves rapt attention, especially given the ample headlines decrying AI that is wildly going astray (for my recent coverage of the AI hacking forays, see the link here). An independent certification would help policymakers and the public spur AI makers and those fielding AI to step up, incentivizing them by providing tangible goalposts that reward trustworthy AI behaviors.

I became immersed in the certification development process when invited to participate in an AI Trust Summit jointly undertaken by the Digital Trust Council (DTC) and Harvard’s Berkman Klein Center (BKC), held at the Harvard University campus on September 24-25, 2026. This was an impressive gathering of the best minds on what it will take to achieve an AI certification that would reward positive AI outcomes and mitigate adverse ones. It was a sleeves-up, hands-on workshop devoted to moving the needle on crafting real-world AI trustworthiness certification.

Let’s talk about it. This analysis of AI breakthroughs is part of my ongoing Forbes column coverage of the latest in AI, including identifying and explaining key AI complexities (see the link here).

The Bold Initiative

As background, the Digital Trust Council is a 501(c)(3) nonprofit devoted to developing certification for AI trustworthiness; see the link here for the DTC website. What makes this effort particularly extraordinary is the twofold goal of devising independent, evidence-based certification and doing so to reward the positive social impact of AI.

Note that the stellar initiative is independent of the AI makers and thus won’t be tilting the certification in their favor. It is an approach that itself will be trustworthy. Furthermore, the certification is evidence-based, meaning that getting certified will be based on tangible proof rather than loose hand-waving or publicity stunts by AI makers.

Original source

This story was published by Forbes: Innovation and written by Lance Eliot, Contributor. SyncAI.news shows a preview; the complete article is on the publisher's site.

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