ALTARS 2026 – Augmented Intelligence in Technology-Assisted Review Systems explores advanced methods for high-recall retrieval and adaptive review workflows across large-scale, heterogeneous, and dynamic Web environments. Technology-Assisted Review (TAR) systems, once used primarily in legal discovery and systematic literature reviews, are increasingly essential for navigating today’s Web, where information volume, diversity, and uncertainty continue to accelerate.
As AI-generated and user-generated content reshape the Web’s information landscape, TAR methods offer structured and transparent approaches for identifying, ranking, and validating relevant content. ALTARS 2026 brings together researchers and practitioners in information retrieval, Web science, artificial intelligence, legal informatics, biomedical information management, and digital governance to discuss how TAR methodologies can support trustworthy, explainable, and scalable Web-based information access.
The workshop provides a forum for interdisciplinary dialogue, presentations of cutting-edge research, and collaborative exploration of open challenges in building transparent and responsible review systems for the Web.
ALTARS 2026 invites contributions on innovative methods, practical applications, and theoretical foundations of Technology-Assisted Review (TAR) systems in Web-scale environments. We welcome research papers, position papers, negative results, system demonstrations, and application-driven case studies.
Accepted papers will be presented during the workshop and included in the publicly accessible workshop proceedings. We encourage participation from academia, industry, government, and nonprofit sectors, and we particularly welcome submissions from early-career researchers.
Submissions may cover novel algorithms, evaluation protocols, user-in-the-loop workflows, Web-scale applications, and ethical or governance-related perspectives. Papers should provide clear methodological contributions or conceptual insights, supported by empirical evidence, prototypes, or reflective analysis.
We invite contributions on, but not limited to, the following themes, which bridge high-recall retrieval, Web intelligence, and responsible AI:
Research on applying Technology-Assisted Review (TAR) methodologies to large and dynamic Web environments, including:
Studies that combine TAR principles with Web-scale search and representation frameworks, such as:
Research focusing on transparent, interpretable, and user-centered TAR systems, including:
Investigations into fairness, accountability, and ethical design of Web-scale review workflows, such as:
Research papers, describing original ideas on the listed topics and on other fundamental aspects of Technology-Assisted Reviews methodologies and technologies, are solicited. Moreover, short papers on early research results, new results on previously published works, and extended abstract on previously published works are also welcome.
For all submission types, references are counted in the page limit.
Accepted papers can be included in the Companion Proceedings of the Web Conference 2026, subject to meeting the official camera-ready timeline.
All deadlines are 23:59 AoE (Anywhere on Earth)
University of Padua, Italy
University of Amsterdam, The Netherlands
DAIICT, Gandhinagar and TCG CREST, Kolkata, India
The Program Committee will be announced soon.