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

The Era of AI Where SE Meets Human Insight

Co-located with FSE'26 in Montreal, Canada

July 5, 2026

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)

Keynote by Chris Parnin

Principle Researcher at Microsoft

Chris Parnin

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 or 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 9, 2026 AoE

Program Committee

We are honored to have the following experts serve on our Program Committee:

Yintong Huo, Singapore Management University;

Kang Hong Jin, University of Sydney;

Neil Ernst, University of Victoria;

Bianca Trinkenreich, Colorado State University;

Jin Guo, McGill University;

Toby Li, Notre Dame University;

Brittany Johnson-Matthews, George Mason University;

Ting Zhang, Monash University;

Sebastian Baltes, Heidelberg University;

Sarah D'Angelo, Google;

Igor Steinmacher, Northern Arizona University;

Kevin Moran, University of Central Florida;

Chenglong Wang, Microsoft Research;

Miryung Kim, UCLA;

Yangruibo (Robin) Ding, Amazon;

Nimmi Weeraddana, University of Calgary;

Ronnie de Souza Santos, University of Calgary;

Majeed Kazemitabaar, University of Alberta, Alberta Machine Intelligence Institute;

Ze Shi Li, University of Oklahoma;

Shaowei Wang, University of Manitoba;

Yuan Tian, Queen's University;

Silvia Abrahão, Universitat Politècnica de València;

Victoria Jackson, University of Southhampton;

Fabio Calefato, University of Bari;

Nathan Cassee, University of Victoria;

Davide Rossi, University of Bologna;

Zhenpeng Chen, Tsinghua University;

Jieke Shi, Singapore Management University;

Jiakun Liu, Harbin Institute of Technology;

Ratnadira Widyasari, University of Victoria;

Chao Peng, Bytedance;

HumanAISE 2026 Program

Time Activity
9:00 am – 9:10 am Opening
9:10 am – 10:00 am Keynote and Q&A with Chris Parnin (Principle Researcher at Microsoft)
10:00 am – 10:30 am Networking & Discussion
10:30 am – 11:00 am Morning Coffee Break
11:00 am – 12:30 pm

Session One: Human Trust, Reliance, and Control in AI-Assisted Software Engineering

  • Keeping Humans in the Driver's Seat: A Conceptual Framework for GenAI and Competence Debt (7 min)
  • Configurable AI Coding Assistants: Designing For Developers Who Like to Be in Control (7 min)
  • Trust the AI, Doubt Yourself: The Hidden Effect of Urgency on Self-Confidence in Human-AI Interaction (7 min)
  • Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering (5 min)

Discussion & Exercise (60 min)

12:30 pm – 14:00 pm Lunch
14:00 pm – 15:30 pm

Session Two: Cognition and AI-Augmented Developer Workflows

  • Stop the Retrieval Thrash: Brain-Guided Episodic Memory for Repository-Scale Coding Agents (5 min)
  • Improving AI tools using measures of brain activity (5 min)
  • The Role of LLMs in Collaborative Software Design (7 min)
  • The Fast and Spurious: Developer Productivity with GenAI (7 min)
  • Who Tells the Documentation Team? How AI Agents Disrupt Documentation Feedback Loops (5 min)

Discussion & Exercise (55 min)

15:30 pm – 16:00 pm Afternoon Coffee Break
16:00 pm – 17:30 pm

Session Three: Fairness, Ethics, and Social Dimensions of AI in Software Engineering

  • Fairness Across Fields: Comparing Software Engineering and Human Sciences Perspectives (7 min)
  • A Systematic Review of Bias Detection and Dataset Improvement Methods for Fair AI Systems (7 min)
  • Shh! Don't Tell Them I Use GenAI: Exploring How Participants Use Generative AI in Hackathons (7 min)

Discussion & Exercise (65 min)

17:30 pm – 18:00 pm Discussion & Closing

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