The guidance aims to support stakeholders in identifying, assessing, mitigating, and monitoring privacy risks in the use of LLMs.
Key sections from the guidance include:
➡️ Key definitions and terminology such as the distinction between an LLM and an LLM-based system;
➡️ The principles from Convention 108+ relevant to LLM-based systems;
➡️ Stakeholder-specific guidance tailored to providers, deployers, users, and regulators; and
➡️ General recommendations and points for implementation.
✅ Firms should review their AI assurance controls and accountability frameworks, ensuring data privacy and protection is pervasive to safeguard personal and company data from misuse.
💡 Plenitude’s AI Assurance Service supports clients with AI Risk and Control Assessments, diagnosing and mitigating AI risks through the development of controls and governance frameworks.
Visit our website for more information: https://www.plenitudeconsulting.com/services/ai-assurance-services