Advancing Accountable AI: A Readiness Guide For Privacy | TrustArc

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Section 1

Skip to Main Content Advancing Accountable AI: A Readiness Guide For Privacy Reduce risk with AI governance Adoption and advancements of AI is ushering in a new set of opportunities — and risks — for organizations and privacy teams. Navigate the intersection of AI and privacy with robust data governance. Address the challenges posed by AI head on with actionable insights and steps to reduce risk. with security, model bias, discrimination, data privacy, data poisoning, false results, and model explainability. Implement algorithmic accountability and governance across the software development life cycle (SDLC). Operationalize technical accountability by embracing design transparency, auditing, monitoring, and controls. Ensure transparency in AI systems to uphold individual rights. AI is a dynamic new frontier that demands

Section 2

a clear and urgent approach to handling personal, sensitive, and confidential information. By adapting established privacy methods and tools, enterprises can be well-prepared to confront these challenges with assurance, upholding accountability and transparency in a rapidly evolving landscape. – Jason Wesbecher, CEO of TrustArc