Bridging AI and Behavior Change (ABC)

Description of bridge

Bridging AI and Behavior Change (ABC) brings together the AI and behavioral science communities to address the urgent need for responsible, explainable, and effective behavior-aware technologies. With the rapid rise of LLM, generative AI, and agentic systems capable of shaping human decisions, this bridge aims to establish common ground between technical innovation and behavioral science theories of decision-making, nudging, and behavior change. Our objective is to catalyze sustained collaboration across computing, psychology, behavioral economics, and public policy, enabling the design of ethical and transparent interventions for health, well-being, sustainability, civic engagement, and AI alignment, where insights from behavioral science can help guide the development of interventions that align AI systems with human values and societal goals.

Topics of Interest

Key themes include:

• Personalization vs. public interest
• Boundaries of responsible nudging
• Intervention design and adaptive/optimal treatment assignment
• Evaluation frameworks for long-term behavior change, habit formation, and mental health/wellness
• Bias and equity in algorithmic decision-making
• Ethics, transparency, and compliance with emerging regulations (e.g., EU AI Act)
• Cross-domain applications in health, sustainability, education, social media interventions, and civic participation
• Reinforcement learning for efficient exploration
• Psychological science
• Development of shared protocols, datasets, recommender systems, and frameworks for trustworthy, behavior-aware AI