Human-AI Interaction Alignment: Designing, Evaluating, and Evolving Value-Centered AI For Reciprocal Human-AI Futures

TL;DR

This paper discusses the importance of reciprocal, value-centered human-AI alignment, emphasizing co-adaptation and societal impact evaluation to foster responsible and evolving human-AI collaborations.

Contribution

It introduces a focus on bidirectional, dynamic alignment models that involve humans and AI co-evolving through interaction and societal value integration.

Findings

Promotes reciprocal human-AI co-adaptation strategies

Proposes frameworks for societal impact evaluation

Highlights interdisciplinary approaches for value-centered AI

Abstract

The rapid integration of generative AI into everyday life underscores the need to move beyond unidirectional alignment models that only adapt AI to human values. This workshop focuses on bidirectional human-AI alignment, a dynamic, reciprocal process where humans and AI co-adapt through interaction, evaluation, and value-centered design. Building on our past CHI 2025 BiAlign SIG and ICLR 2025 Workshop, this workshop will bring together interdisciplinary researchers from HCI, AI, social sciences and more domains to advance value-centered AI and reciprocal human-AI collaboration. We focus on embedding human and societal values into alignment research, emphasizing not only steering AI toward human values but also enabling humans to critically engage with and evolve alongside AI systems. Through talks, interdisciplinary discussions, and collaborative activities, participants will explore methods for interactive alignment, frameworks for societal impact evaluation, and strategies for alignment in dynamic contexts. This workshop aims to bridge the disciplines' gaps and establish a shared agenda for responsible, reciprocal human-AI futures.