Roddy Knowles

As AI becomes the interface to organizational knowledge, research no longer informs one decision — it feeds systems shaping thousands. Yet AI cannot judge nuance, detect bias, or question methodology. This session reframes researchers as the conscience of AI — ensuring data is real, representative, and trustworthy, and that AI learns from the right answers. Key Takeaways: 1. Reframe your role from data provider to trust infrastructure in an AI-driven org. 2. Rigor, representativeness, and bias control are what AI lacks—turn that into influence. 3. Leave with mindset shifts to keep MR relevant, influential, and irreplaceable in AI.