The 2nd Workshop on Human-Centered AI for SE Logo
The 2nd Workshop on Human-Centered AI for SE

The 2nd Workshop on Human-Centered AI for Software Engineering

Where AI4SE Meets Human Insight

Co-located with FSE'26 in Montreal, Canada

Programmer Aura
P1

Organizing Committee

Yu Huang, Vanderbilt University, USA: yuhuang-lab.github.io (yu.huang@vanderbilt.edu)

Daye Nam, University of California, Irvine , USA: dayenam.com (daye.nam@uci.edu)

Zhou Yang, University of Alberta, Canada: apps.ualberta.ca/directory/person/zy25 (zy25@ualberta.ca)

Alberto Bacchelli, University of Zurich, Switzerland: sback.it/ (bacchelli@ifi.uzh.ch)

Kelly Blincoe, University of Auckland, New Zealand: kblincoe.github.io/ (k.blincoe@auckland.ac.nz)

Tom Zimmermann, University of California, Irvine, USA: thomas-zimmermann.com/ (tzimmer@uci.edu)

Steering Committee

Yu Huang, Vanderbilt University, USA: yuhuang-lab.github.io (yu.huang@vanderbilt.edu)

Tom Zimmermann, University of California, Irvine, USA: thomas-zimmermann.com/ (tzimmer@uci.edu)

Daniel Russo, Aalborg University, Denmark: danielrusso.org (daniel.russo@cs.aau.dk)

Tianyi Zhang, Purdue University, USA: tianyi-zhang.github.io (tianyi@purdue.edu)

David Lo, Singapore Management University, Singapore: www.mysmu.edu/faculty/davidlo (davidlo@smu.edu.sg)

John Grundy, Monash University, Australia: sites.google.com/site/johncgrundy (john.grundy@monash.edu)

Our Mission

Our mission is to foster a human-centered approach to AI in software engineering, creating tools and methods that enhance, rather than replace, human creativity and decision-making. We are dedicated to advancing AI that aligns with human values, builds trust, and integrates seamlessly into developers' workflows.

Through collaboration among leading researchers, industry experts, and practitioners, we aim to explore how AI can support software engineers in a way that respects transparency, fairness, and ethical standards. Our focus is on developing AI techniques that not only improve productivity but also uphold the integrity of human involvement.

Our workshop is a platform for innovative discussions, where participants can share insights, address challenges, and envision AI advancements that place humans at the heart of software engineering. Together, we strive to shape a future where AI and human expertise work hand in hand to build responsible, effective SE practices.

Our Mission
Call for Papers

Call for Papers

We are pleased to announce the Call for Papers for the 2nd Workshop on Human-Centered AI for Software Engineering (HumanAISE 2026), a platform for researchers and practitioners to present groundbreaking ideas in integrating human-centered AI into SE practices. Topics include explainable AI, ethical considerations, human-AI collaboration, and much more. Submissions will undergo a rigorous review process, and accepted papers will be published in the ACM Digital Library. Please see below for details on submission types, guidelines, and deadlines.

Call for Papers: HumanAISE 2026

The 2nd Workshop on Human-Centered AI for Software Engineering (HumanAISE 2026) invites submissions to explore how AI can enhance human capabilities while respecting workflows, building trust, and ensuring fairness in software engineering.

Topics of interest include, but are not limited to:

  • Knowledge Transfer and Human-Guided AI for SE: Exploring how AI learns from human expertise and empowers developers with insights.
  • Human-AI Interaction and Collaboration for SE: Developing models, workflows, and interfaces to enhance collaboration between developers and AI.
  • Explainable AI for SE: Improving AI transparency and interpretability for software engineers.
  • Ethics, Fairness, and Bias in AI-driven models for SE: Addressing biases in AI-driven tools and promoting ethical practices in SE.
  • SE Training Education with AI: Leveraging AI-driven tools to enhance SE learning and education.
  • SE Practices for AI: Enhancing the development and maintenance processes of AI systems.
  • Evaluation of Human-AI Systems in SE: Designing evaluation methods to assess the long-term impact of Human-AI systems.

Submission Guidelines

We welcome three types of submissions:

  • Full Papers: Up to 8 pages, plus 2 additional pages for references, presenting completed research with significant findings.
  • Short Papers: Up to 4 pages, plus 1 additional page for references, highlighting early-stage or ongoing research with innovative ideas.
  • Position Papers: Up to 2 pages, including references, proposing bold, high-risk, high-reward ideas.
  • (new) Extended Abstracts: Limited to 5 pages of less, free of Article Processing Charges (APC).

Submission Link: https://humanaise2026.hotcrp.com/. Submissions must adhere to the FSE 2026 two-column industry track format. Detailed formatting guidelines can be found at the FSE 2026 - How to Submit page. Submissions must include references within the page limits and will undergo a double-blind review process by at least three program committee members.

Accepted papers will be published in the ACM Digital Library as part of the FSE 2026 companion proceedings. Authors must ensure their submissions comply with ACM formatting guidelines. At least one author of each accepted paper must register and present at the workshop.

Key Deadlines:

  • Submission Deadline:Thursday, February 12, 2026
  • Notification of Acceptance:Thursday, March 19, 2026
  • Camera Ready:Thursday, April 2, 2026

Web Chair & Publicity Chair

Responsible for overseeing the workshop’s online presence and external outreach:

Zach Karas (Web Chair & Publicity Chair), Ph.D. Student at Vanderbilt University, USA — zachkaras.com

Past HumanAISE Workshops

Programmer Development