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A Scoring System for AI Governance and Accountability

July 17, 2026 | 5 minutes reading time | By Michael Shashoua

With a nod to IQ testing and credit ratings, and influenced by Ocean Tomo’s approach in intellectual property, AIQA Global introduces a quantitative methodology for AI.

dataAs jurisdictions around the world move to regulate artificial intelligence and the industry’s biggest names try to have their say, a new venture is offering to bring quantitative objectivity to organizations’ governance of the technology.

The AIQ Score, administered by AIQA Global, takes into account five aspects of AI implementation: strategic alignment; oversight and accountability; technical robustness; responsible AI and compliance; and adaptability and education. The score ranges from 0 to 200 based on 250 data points across those dimensions.

“The methodology is grounded in recognized governmental and non-governmental standards, including the NIST AI Risk Management Framework, the EU AI Act, and ISO/IEC 42001, the Chicago-based AIQA said in its April launch announcement.

“Every major asset class eventually gets a quality rating,” commented AIQA’s chairman, James E. Malackowski. “Credit quality has its rating agencies. Patent portfolios got Ocean Tomo Ratings. AI governance now has the AIQ Score.”

James Malackowski

Malackowski co-founded Ocean Tomo and is chief intellectual property officer of its parent, J.S. Held. He...

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Topics: Innovation, Enterprise, Model Risk, Tools & Techniques

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