ACM, the Association for Computing Machinery, has published the inaugural issue of ACM AI Letters (AILET). AILET aims to be the premier venue for rapid, impactful, and timely AI research. Bridging a crucial gap between traditional conferences and journals, AILET will feature short, peer-reviewed contributions that accelerate knowledge dissemination across academia and industry.
AI research output has grown exponentially, with publication volume increasing by approximately 80% in just three years. Billions of dollars in funding are driving thousands of new papers and submissions each year across an ever-expanding landscape of subfields. Yet the traditional journal and conference cycle, often requiring months from submission to publication, creates a significant lag between discovery and dissemination. This delay can impede the translation of ideas into practice and slow the collective progress of the field.
The style of the new publication is rigorous yet accessible, with a focus on articles that bring contemporary and fast-moving AI research to the fore.
AILET welcomes concise summaries of work in areas including reports on theoretical breakthroughs in AI, descriptions of significant algorithmic and scientific advances, as well as accounts of novel or deployed applications of AI in real-world settings. Applied settings might include areas such as healthcare, finance, robotics, and autonomous systems. Multidisciplinary work is especially welcome.
Complementing its coverage of the technical aspects of the discipline, ACM AI Letters will also include research about how these new technologies are shaping the world. In this vein, the editors are encouraging submissions on societal challenges such as the United Nations Sustainable Developmental Goals, AI ethics, policy, governance, and responsible AI.
With their broader goal of building a vibrant community around AILET, the editors are encouraging researchers to engage with each other by submitting opinions and briefs on public policy, the latest advances in the field, and comparative assessments.
In keeping with ACM’s ongoing commitment to open access publishing, AILET authors will not be charged publication fees for the first three years.
Articles in the inaugural issue of ACM AI Letters include:
The Co-Editors-in-Chief of ACM AI Letters are Nitesh Chawla, University of Notre Dame (USA); Barry O’Sullivan, University College Cork (Ireland); and Richa Singh, IIT Jodhpur (India). AILET is developed with an extensive editorial team which includes 52 Editorial Board Members, 27 Associate Editors, and a 16-member Advisory Board. Reflecting its mission of serving the global AI research community, AILET editorial team members hail from many countries including Austria, Belgium, Canada, China, Czech Republic, France, Germany, India, Italy, Ireland, The Netherlands, Norway, Portugal, South Africa, Spain, Sweden, Switzerland, the United Kingdom, the United States, and Vietnam.
About ACM’s Publications Program
ACM publishes more than 70 scholarly peer-reviewed journals in dozens of computing and information technology disciplines. ACM's high-impact journals constitute a vast and comprehensive archive of computing innovation, covering emerging and established computing research for both practical and theoretical applications. ACM journal editors are thought leaders in their fields, and ACM's emphasis on rapid publication ensures minimal delay in communicating exciting new ideas and discoveries.
About ACM
ACM, the Association for Computing Machinery , is the world’s largest educational and scientific computing society, uniting computing educators, researchers, and professionals to inspire dialogue, share resources, and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
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