In this episode, Ross Dawson interviews Mohammad Hossein Jarrahi about the concept of human-AI symbiosis, focusing on how humans and AI can work together in decision-making processes. Jarrahi explains that AI technologies, especially those driven by deep learning, are fundamentally different from traditional information systems, requiring new paradigms to leverage their potential. He highlights the dual capabilities of AI in both automating mundane tasks and augmenting human work, particularly in complex decision-making scenarios where human intuition and judgment play a critical role. Jarrahi also discusses how AI can excel in data-centric decisions, while humans are still essential for handling exceptions and context-sensitive tasks. The conversation delves into the competitive and cooperative dynamics between humans and AI, with Jarrahi emphasizing the importance of emotional and social intelligence as a key human advantage. He argues that AI should not be seen as a replacement for human skills but as a partner that complements human capabilities. The discussion also explores the need for explainability and transparency in AI systems to enhance trust and collaboration, particularly in organizational settings. Together, Dawson and Jarrahi outline a future where humans and AI work symbiotically to maximize productivity, innovation, and learning within organizations.