Unlocking the Secrets to Building AI That Navigates the Twists of a Shifting IP World
Buckle up; it’s time to rethink how we govern and license AI in today’s fast-evolving landscape.
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AI is advancing across enterprise workflows faster than governance frameworks and licensing structures can keep pace. Gaps in copyright compliance, governance, data provenance, and licensing are creating real exposure and slowing the responsible, scalable development of AI.
AI is now treated as a material enterprise risk, with AI‑related disclosures in S&P 500 filings rising from 12% in 2023 to 72% in 2025, according to an analysis by The Conference Board and ESGAUGE. The report identifies unresolved copyright, provenance, and licensing issues as sources of legal, regulatory, and reputational exposure as AI adoption accelerates.
