Explore six practical, legally informed training programmes for understanding AI, governing its use and building evidence of responsible practice. The guide outlines each programme’s focus, intended audience, delivery formats and customisation options.
Libra Sentinel Training Capabilities Guide (pdf)
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Build a practical understanding of predictive, generative and agentic AI, including how these systems work, where they fail and how to use them responsibly. Training can be tailored for employees, leaders, lawyers, educators and regulated professionals.

Understand how organizations govern AI across its lifecycle. This program introduces accountability, AI inventories, risk classification, policies, approvals, human oversight, monitoring and the documentation needed to support responsible deployment.

Learn how to assess an AI system in the context of its real organizational use. The training examines workflows, affected individuals, consequences, legal obligations, launch conditions, controls and ongoing monitoring.

Explore the governance of systems used for profiling, scoring, ranking, recommendation and automated decisions. Topics include bias, proxies, explainability, meaningful human review, contestability and safeguards for affected individuals.

Develop practical controls for the responsible use of chatbots, copilots and content-generation tools. The program covers confidentiality, personal data, hallucinations, verification, copyright, training data, provenance, workplace use and human review.

Learn how to govern AI vendors, external models and other third-party dependencies. The training covers due diligence, contractual protections, data and training rights, testing, audit rights, model changes, incident obligations and governance evidence.
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Libra Sentinel helps organizations assess AI products and use cases, establish governance and contractual controls, and prepare for scrutiny, incidents and disputes.
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