FAccT 2026/Jun 26, 3:30 - 6:00 PM/Le Centre Sheraton Montréal

Who bears the cost of honesty?

A CRAFT workshop on when AI disclosure builds trust, when it creates stigma, and how transparency policies can be designed more fairly.Jun 26, 3:30 - 6:00 PM · Le Centre Sheraton Montréal

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the problem

Disclosure is not a neutral act.

AI disclosure is increasingly being written into policy. That can support transparency, but evidence also shows that revealing AI use can stigmatize people and their work, with heavier costs for minoritized groups. This workshop asks how transparency can be designed without shifting those costs onto the people asked to disclose.

01
Accountability still matters.
AI disclosure can clarify how work was made, support accountability, and help people decide when to trust it.
02
But disclosure is not neutral.
The same disclosure can also trigger suspicion: language support read as cheating, accommodation read as lower competence, or early ideation read as automated authorship.
03
So disclosure needs better design.
Fair policies should consider context, power, and privacy, especially for people already more likely to face stigma.

our approach

We move beyond the question “should people disclose AI use?”

Together, we ask:

Who benefits from disclosure, and who carries its costs?
Which needs, rights, and risks are in tension?
How can disclosure policies provide useful clarity without unnecessary exposure?

Unpacking diverging stakeholder needs and harms.

— six scenarios, four lenses, shifting stakes.

the scenarios

This is where disclosure gets complicated.

Six everyday situations. Four ways to read each one. Choose a lens, and the same scenario reveals a different need, risk, or design opportunity.

Where social costs can land.

What new risks emerge through AI disclosure policies?

— transparency can create harms of its own.

the workshop

A hands-on workshop, together.

We start with a keynote framing talk, then move into two participatory activities: Power Mapping and the Disclosure Design Fiction Studio. Groups of 5-6 will work with both digital tools and paper materials.

Jun 26, 3:30 - 6:00 PMLe Centre Sheraton Montréal

keynote speaker

Aengus Bridgman

Assistant Professor (Research) · McGill University, Max Bell School of Public Policy

Director, Media Ecosystem Observatory and Canadian Digital Media Research Network

talk

My work at the Media Ecosystem Observatory and Centre for Media, Technology, and Democracy is about understanding how AI is changing the character of the information environment and the behaviour of those who consume political information. I'll bring a few empirical audits of AI developer and consumer products that I can speak to, bring a politics-and-policy perspective, and also be able to speak to overall trends in how people are engaging with AI systems to inform their political activity.

Speaker profile

20 min · step 01
Keynote Talk
Aengus Bridgman frames disclosure mandates, emerging norms, and evidence of harm before the hands-on studio work begins.
40 min · step 02
Activity 1: Power Mapping
Groups take stakeholder roles and map needs, constraints, and power asymmetries.
45 min · step 03
Activity 2: Disclosure Design Fiction Studio
Groups sketch or prototype a 2029 disclosure artifact, then complete a Context Card naming benefits, mitigated costs, and remaining harms.
10 min · step 04
Share-out
Groups share artifacts and Context Cards; organizers use them as source material for a public equitable-disclosure toolkit.

take 01

Ways to identify and reduce disclosure harms

Practical prompts for spotting where disclosure helps some people while increasing risk for others, especially minoritized groups.

take 02

Design artifacts and Context Cards

Sketches, prototypes, and notes that connect design choices to accountability, consent, and harm.

take 03

A public toolkit

Organizers will synthesize outcomes into a toolkit of considerations, templates, and examples shared back to participants and the public.

the team

The organizing team.

Seven researchers and practitioners across two companies and five academic institutions, working across design, philosophy, history, and AI ethics.

Jessica He
UX Designer
IBM Research
Cambridge, USA
research focus
Trustworthy AI
Profile
Finola Finn
Postdoctoral Researcher
University of Luxembourg
Esch-sur-Alzette, Luxembourg
research focus
AI in historical and creative practice
Profile
Angel Hsing-Chi Hwang
Assistant Professor
University of Southern California
Los Angeles, USA
research focus
Human–AI interaction
Profile
Donal Khosrowi
Postdoctoral Researcher
Leibniz University Hannover (CELLS)
Hanover, Germany
research focus
Ethics of AI and AI-in-science
Profile
Seyun Kim
PhD Candidate
Carnegie Mellon University, HCII
Pittsburgh, USA
research focus
Human–AI interaction in high-stakes decision-making
Profile
Morgan Klaus Scheuerman
Research Scientist
Sony AI
Barcelona, Spain
research focus
Generative AI in creative industries
Profile
Harry Ye
PhD Student
University of Toronto
Toronto, Canada
research focus
Critical Engagement with AI, Educational Technology
Profile