Submit to CHIWork 2026

As Generative AI (GenAI) embeds into HCI workflows, balancing efficiency with accountability is critical. The “vibe coding” era and AI-assisted analysis have widened the “accountability gap.” This half-day hybrid workshop at CHIWork 2026 in Linz, Austria seeks to professionalize GenAI-augmented workers by defining ethical “co-thinking,” shifting beyond simple disclosure toward intellectual autonomy.

We welcome both academic researchers with position papers and industry/HCI practitioners with AI disclosure statements. The workshop is designed as a safe, reflexive space where participants can openly share negative experiences, AI fatigue, and moments of ethical friction.

All accepted Track 1 position papers will be published on arXiv—this is our open-access proceedings. The Overleaf template and the GitHub template repo already wire in the workshop venue and citation, so the camera-ready PDF identifies as a workshop paper.

1. Finalize your .tex source and compile the camera-ready PDF.
2. Upload the PDF to arXiv.
3. Email hgs52@cornell.edu with your arXiv link so we list it on the Papers page.

Started from an earlier template? Please refresh your references.bib entry and the \workshopNote / intro quote block from the latest template — we added the official workshop DOI on May 27, 2026, and simplified the note to avoid a column-overflow.

Workshop citation (must appear in every Track 1 paper)

The Overleaf/GitHub templates already include this in references.bib as \cite{sandhaus2026interrogating}. If you start from your own template, copy the BibTeX entry below.

@inproceedings{sandhaus2026interrogating,
  author    = {Sandhaus, Hauke and Imteyaz, Kashif and Almutairi, Mohammed
               and Prajod, Pooja and Ramesh, Divya and Savage, Saiph
               and Yang, Qian and Muller, Michael},
  title     = {Interrogating {GenAI} Augmentation for {CHIworkers}:
               Strategies for Professional Autonomy and Accountability},
  year      = {2026},
  isbn      = {979-8-4007-2598-2/2026/06},
  publisher = {Association for Computing Machinery},
  address   = {New York, NY, USA},
  url       = {https://doi.org/10.1145/3805029.3818271},
  doi       = {10.1145/3805029.3818271},
  booktitle = {Adjunct Proceedings of the 5th Annual Symposium on
               Human-Computer Interaction for Work},
  series    = {CHIWORK '26},
  location  = {Linz, Austria},
  month     = jun,
}

For accepted Track 2 disclosure statements, we encourage authors to upload their final PDF to a public science repository as a supplementary good-practice disclosure notice, situated next to the work they are disclosing about. This treats the disclosure as a companion document visible to readers of that work, rather than a one-time submission.

Recommended hosts:

• OSF — if your underlying work is registered there or has associated materials
• figshare — for standalone disclosures linked to a published paper
• GitHub — if your work is a tool, dataset, or codebase, attach the disclosure to its repo

After uploading, email hgs52@cornell.edu with the link. We will list it on the Papers page. Anonymous and keep-private options remain available if you'd prefer not to publish.

While Track 2 participants are free to structure their disclosures as they see fit, we provide the following thematic framework to guide reflexive accounts of GenAI integration. Move beyond simple disclosure toward a deep reflection of agency, accountability, and “co-thinking.”

The organizing committee will review submissions for thematic fit, reflexivity, and contribution to workshop discussion.

1. Prepare your submission using the appropriate template above.
2. Export your paper as a PDF.
3. Submit via the Google Form below.
4. Track 1 authors: also submit to arXiv after acceptance (see instructions above).

Rolling acceptance: We review submissions as they come in. Early submissions may receive decisions before the May 31 deadline, so you can register for CHIWork 2026 with confidence.

Track 2 privacy: We understand that reflecting on AI use can be sensitive. When submitting a disclosure statement, you can choose to publish it publicly, publish it anonymously, or keep it private (shared only during the workshop).

CHIWork registration is required to attend the workshop. All participants must register for CHIWork 2026 via the official conference registration system. You may choose full-conference or one-day registration.

In-person capacity is capped at 25 participants. Remote/hybrid participation is supported: we will provide Zoom access and ensure remote attendees can fully engage via shared notes and moderated discussion. Mohammed Almutairi coordinates our remote track.

Modality: The workshop is primarily in-person (Linz, Austria), with a dedicated remote cohort. Joining instructions for remote participants will be shared with accepted attendees at least one week before the workshop. For questions about the hybrid/remote format, contact Mohammed Almutairi at malmutai@nd.edu.

Outcomes & dissemination

All accepted position papers will be published open-access on arXiv. Workshop discussion notes and any synthesized outputs (e.g., a draft Professional Code of Conduct) will be shared via this website and/or OSF after the event. We intend to invite interested participants to co-author a joint publication following the workshop.

Accessibility

We are committed to making this workshop accessible to all participants. Please contact hgs52@cornell.edu for any accessibility requests. You can also reach the CHIWork accessibility team at deia@chiwork.org.

This workshop is designed as a safe, inclusive, and reflexive space. Accepted participants will be asked to commit to a Workshop Code of Ethics that:

• Protects privacy and confidentiality during discussions and in any publication of materials.
• Encourages open sharing of negative experiences, ethical friction, AI fatigue, and difficult moments.
• Respects diverse perspectives on what “responsible” AI use means across contexts.
• Ensures that personal stories and examples are not attributed without explicit consent.

We especially encourage participants from diverse career stages—students, postdocs, junior faculty, industry practitioners, and senior researchers—and from global and underrepresented communities in HCI.