RAIiA Ep. 21 | Designing Trustworthy AI for Real-World Decisions w/ Dr. Jennifer Boger

As AI evolves from answering questions to taking real-world actions, organizations face new challenges around trust, accountability, governance, and human oversight. In Episode 21 of Responsible AI in Action, Charles Dimov speaks with Dr. Jennifer Boger, Principal at Atomic 47 Labs, Adjunct Professor at the University of Waterloo and the University of British Columbia, and Research Scientist at the University of Waterloo Research Institute for Aging. Together they discuss: • Why AI bias cannot simply be eliminated • How organizations should think about bias in context • The difference between deterministic and autonomous AI systems • What aviation teaches us about trustworthy AI • Why accountability becomes more difficult as AI takes action • How organizations can safely build AI capabilities over time • The continuing importance of human-in-the-loop decision making Whether you're an AI leader, technology executive, researcher, or enterprise decision-maker, this episode offers practical guidance for deploying AI responsibly as the technology continues to mature. Subscribe for more conversations with leaders shaping the future of Responsible AI. linkedin.com/in/jen-boger/ #ResponsibleAI #ArtificialIntelligence #EnterpriseAI #ResponsibleAIInAction #Governance #TrustworthyAI #AILeadership #AgenticAI #HumanCenteredAI #AIGovernance