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As AI technologies increasingly intersect with our daily lives, understanding how humans interact with these systems in dynamic, complex, and uncertain settings becomes crucial for constructing a realistic view. This presentation will cover ongoing research projects exploring human trust, blame, and decision-making in intricate AI scenarios. This includes perception of AI systems in variety of domains varying in stakes and uncertainty levels, AI systems for air traffic control, and the strategic behaviour of autonomous vehicles operating alongside traditional ones. These studies shed light on the nuances of human-AI dynamics in more realistic environments marked by instability, high stakes, and uncertainty.
