The event, hosted by IPWatchdog and sponsored by IP.com, shifts focus from the mechanics of drafting to the critical decision-making gates that precede it. While AI excels at organizing and framing information, it cannot replicate the human judgment required to determine if an invention is truly novel, nonobvious, and commercially viable. Experts warn that high-speed automation can create a dangerous illusion of value, leading companies to invest in patent protections for ideas that lack genuine market or technical substance.

Joe Manico, a research scientist at Kodak Alaris, notes that a technically fluent AI-generated application often masks underlying weaknesses that result in significant downstream costs. The discussion will outline a framework for evaluating inventions through four stages: concept, refinement, filing, and portfolio management. The panel features Enrico Monteleone of IBM, Debarshi Nandy of Brandeis University, Sivon Kalminov of Canon U.S.A., and Joe Manico, with moderation by IPWatchdog CEO Gene Quinn. Attendees will explore how evidence-based analysis can ensure that patentability assessments remain grounded in traceable, verified records rather than mere algorithmic fluency.