As police forces explore the use of AI, governance, transparency, and public trust have become critical priorities. Recent concerns around bias, hallucinations, and a lack of explainability in AI-generated outputs have highlighted the importance of implementing AI responsibly within policing environments.

In this video, Ben Jarvis, CTO for Data & AI at Telefónica Tech, discusses how forces can adopt AI safely and ethically by embedding governance and assurance throughout the lifecycle of every AI use case.

The discussion covers how modern AI and data platforms can support:

• Transparency and explainability in AI-driven recommendations
• Auditability and traceability of data and model outputs
• Human oversight and accountability in operational decision-making
• Governance controls to mitigate bias and poor data quality
• Trusted AI adoption aligned to policing standards and ethics frameworks

The video also highlights how technologies from Microsoft and Databricks provide built-in governance and assurance capabilities to help police forces deliver trusted, secure, and responsible AI solutions.