OECD: HAIP Framework Turns AI Transparency From Burden Into Competitive Advantage

HAIP: What It Is and Why It’s Being Developed

HAIP (Hiroshima AI Process) is a G7-initiated transparency framework being developed by the OECD, aimed at standardizing reporting for advanced AI systems. In an analysis published on the OECD AI platform, Paula Goldman — Chief Ethical and Humane Use Officer at Salesforce and one of the first companies to contribute to the framework — argues that transparency need not be a mere regulatory obligation but can be a source of business advantage.

Salesforce participated in the development of HAIP v2, which places Goldman’s text in the perspective of a practitioner rather than an independent regulator.

What Does HAIP Solve?

Regulatory fragmentation — a situation where each market imposes its own mutually incompatible voluntary and mandatory regulations — particularly harms smaller companies lacking resources for multiple compliance tracks. According to Goldman’s argument, HAIP offers “global interoperability”: a common language for comparing compliance, analogous to what NIST and ISO standards have done for cybersecurity.

Has Agentic AI Opened a New Gap?

Yes. Agentic AI systems that “autonomously plan, execute, and adapt through complex multi-step workflows” have created an accountability gap — responsibility for outcomes is not clearly defined by existing frameworks. HAIP v2 directly addresses this gap by introducing reporting structures tailored to autonomous systems, as opposed to earlier frameworks that assumed more static models.

Limits of the Perspective

Goldman’s text is an op-ed in an OECD publication, not official policy. Salesforce has a business interest in a global standard that reduces the cost of multiple compliance tracks. HAIP remains in the development phase — its actual interoperability will depend on how many jurisdictions adopt the standard.