Papers Track

Call for Papers

The inaugural ACM AI Summit invites submissions to its Papers Track, showcasing cutting-edge advances and forward-looking ideas in AI. This track brings together researchers and practitioners from academia and industry to highlight recent breakthroughs, emerging methodologies, and visionary perspectives that will shape the future of AI.

Submission Categories

We solicit two types of contributions:

Category 1

Breakthrough Impact Highlights

Papers in this category should present recent, significant advances in AI, including novel methods, systems, or applications. Submissions should clearly articulate the core innovation, its technical contributions, social, empirical or theoretical impact, and broader implications for the AI community. The committee invites papers that solve or enhance understanding of real-world AI deployment, ideally showing verifiable, tangible impact.

Category 2

Visionary Papers

This category invites forward-looking perspectives that identify emerging challenges, opportunities, and future research directions in AI. Visionary papers should provide insightful analysis, propose new paradigms or frameworks, and aim to inspire transformative research agendas. The committee invites papers that identify grand challenge problems which could benefit from the engagement of the entire AI eco-system.

Submission Guidelines

Each author may submit up to 1 paper in the Breakthrough Highlights category and 1 paper in the Visionary category.

All submissions must be 4 pages in length (excluding references) and use the default template in the ACM Primary Article Template. Submissions do not need to be anonymized.

Submissions will be evaluated based on originality, significance, clarity, and potential impact.

Accepted papers will be presented as posters at the summit and published in the ACM AI Summit proceedings following the event.

There is no article processing charge (APC) associated with publication.

Topics of Interest

We welcome contributions across all areas of AI, including but not limited to:

Machine learning (supervised, unsupervised, reinforcement learning)

Deep learning

Large language models and foundation models

Multimodal mining and learning

Natural language processing

Computer vision

Speech and audio processing

Robotics and embodied AI

Planning and reasoning

Knowledge representation, discovery and reasoning

Graph mining, learning and network analysis

Causal inference and decision intelligence

Trustworthy and responsible AI (fairness, robustness, interpretability, privacy, security and safety)

Human-AI interaction and human-in-the-loop systems

AI systems and infrastructure (efficient training, scaling, hardware–software co-design)

Edge and distributed AI

Federated learning

Continual and lifelong learning

Generative AI and creative AI

Program synthesis and code generation

Neurosymbolic AI and automated reasoning

AI for science (biology, chemistry, materials, physics, climate)

AI for health and medicine

AI for engineering and design

AI and societal impact

AI for governance, ethics and public policy

Emerging AI systems (physical AI, digital twins, autonomous scientific discovery)

Quantum machine learning

Quantum computing for AI

Quantum AI systems and algorithms

Physics-informed machine learning and scientific modeling

Physical AI and embodied physical intelligence systems

Join us in shaping the inaugural ACM AI Summit and contributing to a vibrant forum for advancing AI research, systems, and applications.