A recent survey found that 92% of leaders trust vendors that use AI. However, new hiring data suggests that confidence in AI governance is not matched by the capacity to govern it. For every governance job listing, companies are looking to fill seven AI builder roles.

AI Governance Gap

The gap between confidence in AI and the ability to govern it is a concern. Companies are creating governance roles, but often without clear responsibilities or references to relevant regulations, such as the EU AI Act. This lack of clarity makes it difficult for companies to find qualified candidates and build effective governance systems.

The EU has confirmed the final timeline for the Digital Omnibus agreement, which includes a Code of Practice on AI-generated content. This means that companies will need to have robust governance systems in place to comply with the new regulations. However, the current hiring data suggests that many companies are not yet prepared to meet these requirements.

To close the gap, companies need to build governance as an operating model, rather than just a hiring problem. This requires a certifiable framework that tells organizations what the function actually contains. By doing so, companies can ensure that their confidence in AI is backed by a robust governance system.

Original reporting: KRDO (Colorado Springs metro) — read the source article.