Building the Future of Decision-Making: Human-AI Collaboration, Trust and Compliance in the Age of AI

This Data Week session will explore the intersection of human and AI collaboration, focusing on hybrid decision-making systems that leverage the strengths of both entities. Participants will delve into various AI models such as Large Pre-trained Models (LPtMs) and distributed / collaborative machine learning (e.g., neurosymbolic learning, active learning,), which enhance human-AI teaming by combining human creativity and contextual understanding with AI’s data processing and predictive capabilities. The session will also cover approaches to fostering trust and transparency through Explainable AI (XAI) techniques that can used in conjunction with the above-listed models (e.g., neuro symbolic AI), which ensure that AI systems are interpretable and align with ethical standards. Finally, the discussion will address the compliance of the approproaches of the different projects with regulatory frameworks, particularly the EU’s AI Act, which mandates risk-based compliance measures for high-risk AI systems to safeguard human rights and safety. Overall, attendees will gain insights into creating AI systems that are not only innovative and able to efficiently interact with humans, but also compliant with emerging legal standards for trustworthy AI.

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