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Minds in Motion: AI Governance event
We’re hosting the next session in our Minds in Motion series, focused on AI governance, and how organisations can support AI use in a sustainable, ethical and compliant way.
On 19th March in Bristol, we’ll be hosting an invite-only, discussion exploring how organisations can move from informal AI use to structured, responsible governance.
AI tools are already being used across businesses - often without clear visibility into what data is being entered, how it’s being processed, or who is accountable for the outcomes.
The challenge is multi-dimensional, it’s not only about sensitive data leakage. It’s about:
- Unknown usage
- Unclear
Shadow AI and AI governance: how to manage risk without slowing innovation
What is shadow AI?
Shadow AI refers to the use of generative AI tools, large language models (LLMs), AI agents, or automation workflows inside an organisation without formal approval, oversight, or integration into an AI governance framework.
Shadow AI introduces unapproved intelligence - models, prompts, datasets and workflows that can silently influence decisions and outputs, which presents a significant risk exposure to organisations.
Many high-profile cases have already shown how employees can unintentionally expose sensitive data through public AI tools. The risk is no longer hypothetical - it is real and happening now.
According to Microsoft and LinkedIn’s Work Trend
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