In AI We Trust? How IP Professionals Can Find Confidence in the Age of Algorithms

As AI becomes more embedded in intellectual property (IP) workflows—from patent classification to litigation risk analysis—two questions keep coming up: can we trust what AI is telling us, and how do we stay in control? In this live expert panel, we’ll explore how IP professionals are building confidence in AI-driven tools—not just by questioning the tech itself, but by scrutinising the people, processes, and assumptions behind it. What we’ll cover: - Trust and validation: What does it mean to trust an AI tool in a legal or strategic context? How do you judge the reliability of its outputs? We’ll examine the role of explainability, the impact of training data, and who’s responsible when AI gets it wrong. - Model fit and use case alignment: Not all AI is created equal. From classifiers to LLMs and transformers, we’ll look at which tools are best suited for specific IP tasks—and why domain-specific design is key. - Human-AI collaboration: Do IP professionals need to reskill—or just ask better questions? We’ll explore how to adopt AI responsibly, foster trust across teams, and strike the right balance between automation and human oversight. You’ll come away with a clearer understanding of what makes AI tools trustworthy, how to evaluate them for your workflows, and how to unlock value—without compromising control. Who should attend? This session is designed for patent attorneys, trademark professionals, and IP leaders operating at the intersection of innovation and technology. Whether you’re selecting vendors, guiding clients, or shaping internal strategy, this conversation will help you engage with AI more critically and confidently. Can’t make it live? Register anyway and we’ll send the recording to your inbox. Panelists: Host: Tom Phillips, Editor, World IP Review Zhaoying Dorothy Du, Head of Legal, Lenovo Scott Garnick, Head of Legal Transactions, HERE Arun Hill, Lead Consultant, Clarivate™ Center for IP and Innovation Research