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AI governance isn’t just another corporate buzzword; it is a critical legal necessity that can make or break your business. With the EU’s AI Act in full force and major lawsuits like Mobley v. Workday reshaping how courts view AI liability, companies that lack robust governance frameworks are leaving themselves exposed and vulnerable.
In 2025, the AI regulatory landscape shifted dramatically. The EU’s AI Act categorizes AI systems into four risk levels, with high-risk applications requiring conformity assessments, CE marking, and registration in EU databases. Penalties of up to €35 million or 7 per cent of global annual turnover have signalled the threat legislators believe AI can hold.
Across the pond, Mobley v. Workday shows how American courts are now holding AI vendors directly liable under employment discrimination laws when their algorithms exhibit bias. Mr. Mobley applied for over 100 jobs through Workday’s platform and was rejected every time, leading to a federal judge allowing the case to proceed as a collective action. The verdict of this case crystallizes the ability of LLMs to make discriminatory decisions and extends liability to companies as agents.

Building an AI governance framework requires a solid foundation combined with the right structure. Here’s what every effective framework must include,
| Category | Description | Example |
|---|---|---|
| Leadership and Accountability | Designated leadership is required. | IBM’s AI Ethics Board has operated since 2018, providing governance and decision-making. |
| Risk Assessment and Monitoring | Set various functions such as: Govern, Map and Measure. | Google’s approach focuses on seven core objectives, including avoiding unfair bias and being accountable to people. |
AI governance is no longer optional. It is quickly proving to be a business priority. Whether you’re dealing with EU compliance requirements, U.S. employment laws, or simply trying to maintain customer trust, having a robust governance framework protects you from legal exposure while enabling innovation.