True human-AI collaboration means learning to think as a team. But how do you partner with an "alien coworker", a system that excels at speed and pattern recognition but often lacks common sense and real-world context?
Join Scott Falconer (author of Managing AI) to explore the cognitive science behind building these powerful new teams. We'll map where human and machine thinking aligns (e.g., patterns, memory) and where it diverges (e.g., ethics, experience, taste), and the sometimes troubling implications of the gap.
You’ll learn the critical role of the human in the loop: how to judge outputs, set effective guardrails, and bridge the context gap. Expect practical tactics like smarter prompting strategies, avoiding common pitfalls, and creative approaches for building reliable, human-centered results.
Drawing from real-world AI programs, this session delivers field-tested techniques designed to augment human creativity, not replace it. You'll leave with actionable insights and quick exercises you can apply immediately.