E178 ‘Interactive and Incremental AI in Security’ with IBM Research’s Seshu Tirupathi and Elizabeth Daly

Today's guests are Seshu Tirupathi, Research Scientist and Elizabeth Daly, STSM and Research Manager of the Interactive AI Group at IBM Research Ireland. In today’s episode, we are delving into fascinating world of AI and its application in cybersecurity, spotlighting IBM Research’s work as a finalist for Best Application of AI in a Large Enterprise at last month’s AI Awards. Topics include: 0:00 Interactive AI and incremental ML for risk classification 1:57 Challenges in continuous learning, dynamic updates, and explainability 2:51 Combining interpretable rules with incremental ML for adaptability 5:27 Integrating heuristic rules with ML for adaptability and transparency 6:29 How Explainable ML integrates user feedback to improve models 8:21 Being inspired by IBM collaboration, project bridges AI and stakeholder feedback 9:41 How integrating feedback improves ML accuracy and client satisfaction 10:40 How transparency in AI balances vulnerability risks with improved oversight 13:13 Why dynamic models are essential for evolving data and systems

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