Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Each paper length should not exceed 6 pages. The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to HAICAI 2026. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. All papers need to be in ACM Proceedings format and submitted via the dedicated Easychair submission site (click on the Easychair logo below):
Templates
Important dates
- Submission of full papers: February 28, 2026
- Notification of acceptance: March 15, 2026
- Submission of camera ready: March 30, 2026
- Main Conference: April 23-24, 2026
Topics of interest
Topics of interest include but are not limited to:
- Human-AI Collaboration and Cooperative Intelligence
This pillar focuses on the mechanisms, architectures and empirical models that enable humans and AI agents to work together effectively toward shared goals.
- Human-AI teaming, coordination and shared autonomy
- Co-adaptation, mutual learning and interactive reinforcement learning
- Collaborative reasoning, decision-making and problem-solving
- Human-AI communication, negotiation and intent understanding
- Human trust calibration, transparency and interpretability in cooperative systems
- AI-assisted creativity and design co-creation
- Distributed cognition and symbiotic human-machine agency
- Evaluation metrics for collaboration quality and team performance
- Human oversight, feedback loops and dynamic role adaptation
- Augmented Intelligence and Hybrid Human-Machine Systems
This pillar investigates AI systems that enhance human cognitive and perceptual abilities through assistive, hybrid and adaptive computational frameworks.
- Cognitive augmentation and human-in-the-loop intelligence
- Hybrid symbolic–neural architectures for reasoning and sensemaking
- Neuroadaptive and Brain–Computer Interface (BCI) technologies
- Human–AI co-learning and knowledge scaffolding
- AI-driven creativity, ideation and innovation support
- Adaptive decision-support and context-aware reasoning systems
- Personalized and explainable cognitive assistants
- Computational models of extended and distributed cognition
- Collective human–machine intelligence and hybrid problem-solving ecosystems
- Interaction, Experience and Design for Intelligent Systems
This pillar explores how interaction design, user experience and human factors shape the usability, transparency and trustworthiness of intelligent systems.
- Human–Computer and Human-AI Interaction (HCI/HAI) paradigms
- User Experience (UX) design for intelligent and adaptive interfaces
- Multimodal, conversational and embodied interaction models
- Emotion-aware and affective interfaces for empathic AI
- Co-design, participatory and value-sensitive design in AI development
- Explainable interaction, interpretability and visualization of AI behavior
- Personalization and adaptive user modeling in intelligent environments
- Evaluation methodologies for usability, satisfaction and trust
- Accessibility, inclusion and universal design in AI systems
- Ethical, Societal and Responsible Artificial Intelligence
This pillar addresses the ethical, legal and socio-technical challenges of designing and deploying AI systems that interact and collaborate with humans.
- Fairness, Accountability, Transparency and Explainability (FATE)
- Human rights, inclusion and diversity in AI design and deployment
- Algorithmic bias detection, mitigation and auditing frameworks
- Responsible innovation and participatory governance of AI
- Societal and cultural implications of human–AI collaboration
- AI literacy, public trust and democratic oversight
- Sustainability and Green AI approaches
- Legal and policy frameworks for cooperative and augmented intelligence
- Ethical frameworks for human-centric and value-aligned AI
- Emerging Frontiers and Cross-Disciplinary Perspectives
This pillar welcomes visionary, interdisciplinary research exploring novel paradigms, applications and theoretical foundations of Human-AI synergy.
- Generative AI and Creative Intelligence
- XR, AR/VR and immersive intelligent environments
- Conversational, embodied and multimodal AI agents
- Cognitive robotics and human–machine symbiosis
- Neuro-symbolic reasoning and biologically inspired intelligence
- AI for societal impact
- Computational models of empathy, emotion and affect
- AI in behavioral, cognitive and social sciences
- Future directions of hybrid, collaborative and reflexive intelligence