{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/663dca7d1f998c001258a68a/6a1451306ee822cbfb880aa7?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI Governance & Compliance Masterclass with Dentons Global Senior Data Privacy Lawyer","description":"<p>In this episode, I'm talking with <strong>Anna Popowicz - Pazdej</strong>, Global Senior Data Privacy Lawyer at Dentons.</p><p><br></p><p>Anna walks us through the heavy-lifting required to move a firm from a \"proof of concept\" to full operational readiness, ensuring that innovation never comes at the cost of client confidentiality.</p><p><br></p><p>We talk about the meticulous process of implementing AI—starting with the Privacy Impact Assessment (PIA) and ending with firm-wide AI literacy. You’ll hear perspectives on why your architectural diagram is your best defense against data leaks and how to prevent your client’s trade secrets from becoming part of a vendor’s training set.&nbsp;</p><p><br></p><p>The Compliance Blueprint: Why the Data Protection Impact Assessment (DPIA) is your primary tool for assessing data residency and encryption risks.&nbsp;</p><p><br></p><p>Architecture Matters: Understanding the data flow between models and the importance of encryption both in transit and at rest.&nbsp;</p><p><br></p><p>The Hallucination Fix: How Retrieval-Augmented Generation (RAG) databases can minimize AI errors by grounding responses in your own secure data.&nbsp;</p><p><br></p><p>The \"Shadow AI\" Threat: The dangers of using unassessed AI tools that may retrain their models using your sensitive client data.&nbsp;</p><p><br></p><p>Operational Readiness: Balancing innovation with policy through specific guidelines, retention periods, and tiered training for junior vs. senior lawyers.&nbsp;</p><p><br></p><p>Vendor Warranties: Essential clauses for your Data Processing Agreements (DPA) to ensure vendors and subprocessors do not use your data for their own model training.&nbsp;&nbsp;</p>","author_name":"Holly Cope"}