#facct2026
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mattlease.bsky.social
Story on Sanjana Gautam's #facct2026 @facct.bsky.social #AI4Science paper on how Researchers Navigate Accountability, Transparency, & Trust with AI: ischool.utexas.edu/news/what-ar.... Sanjana is now at Microsoft

@texasscience.bsky.social
@utaustin.bsky.social
@msftresearch.bsky.social
#TexasAI
October 19, 2026 at 5:35 PM
ecoavant.bsky.social
¿Quién recibe el riñón? Nueve modelos de #IA ponderan de otro modo que las personas los rasgos de los pacientes y casi nunca dudan, ni cuando pueden lanzar una moneda. #FAccT2026 #ética #salud
IA y trasplante de riñón: decide distinto y casi sin duda
www.ecoavant.com
September 24, 2026 at 10:03 AM
apasek.bsky.social
If we met at #FAccT2026 and I said something to the effect of "I am a spy. I am here to study you guys," this is what I meant...
September 15, 2026 at 11:43 AM
benzevgreen.bsky.social
Super excited to share a new #FAccT2026 paper with Nel Escher and Nikola Banovic! We show that algorithm auditing policies in the US are wildly insufficient, as they don't account for how public sector algorithms actually function in practice.

dl.acm.org/doi/abs/10.1...
Algorithm Auditing Policies Rest on Flawed Assumptions About Public Sector Systems | Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
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dl.acm.org
June 26, 2026 at 2:42 PM
noagarciad.bsky.social
I'm the one on military sponsorship! #facct2026
alexhanna.bsky.social Alex Hanna @alexhanna.bsky.social · Jun 27
You gotta love a session on war and algorithms, with one paper on Israel's war in Gaza and one on military sponsorship of computer vision research, then one about conflict monitoring with LLMs, and then one from a fed.

The range of foreign policy opinions here
June 27, 2026 at 10:02 PM
noagarciad.bsky.social
Today in about two hours! #facct2026
noagarciad.bsky.social Noa Garcia @noagarciad.bsky.social · Jun 26
Tomorrow (Sat, June 26) I'll be presenting "The Weaponization of Computer Vision" at @facct.bsky.social

A work that emerged from the pain of seeing computer vision used for harm and with the hope that we can do better.

📌 17:00-18:00, Ballroom East, Global Conflicts

dl.acm.org/doi/10.1145/...
The Weaponization of Computer Vision: Tracing Military-Surveillance Ties through Conference Sponsorship | Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
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dl.acm.org
June 27, 2026 at 7:07 PM
noagarciad.bsky.social
I'll be presenting our paper Context Matters at the "Gender Bias in Generative AI" session at #facct2026, chaired by the amazing @angelinawang.bsky.social. Today, Joyce room, from 10:45 (in 45 min!).
arxiv.org/abs/2605.13113
Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles
Text-to-image (T2I) generative models are increasingly used to produce content for education, media, and public-facing communication, and are starting to be integrated into higher-impact pipelines. Si...
arxiv.org
June 25, 2026 at 2:02 PM
asiabiega.bsky.social
Amid growing regulatory interest in digital well-being, our new #FAccT2026 paper analyzes how online platforms conceptualize the term and identifies gaps between their stated conceptualizations and the interventions they actually provide.
Defining the Problem, Setting the Standard? Platform Narratives and Interventions for Digital Well-Being | Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
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dl.acm.org
July 3, 2026 at 1:13 PM
asiabiega.bsky.social
Our open-source implementation of the MPC-based fairness monitoring protocol is available as part of the findhrAPI library: github.com/findhr/findh...

#AIGovernance #DataGovernance #AIPolicy #GDPR #AIAct #FAccT2026 #DigitalOmnibus
GitHub - findhr/findhrAPI
Contribute to findhr/findhrAPI development by creating an account on GitHub.
github.com
April 30, 2026 at 8:12 PM
asiabiega.bsky.social
"Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring",
Changyang He, Nina Baranowska, Josuan Eguiluz Castañeira, Guillem Escriba Molto, Matthias Jüntgen, Anna Via, Frederik Zuiderveen Borgesius, Asia Biega.
#FAccT2026
Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring
Post-market fairness monitoring is now mandated to ensure fairness and accountability for high-risk employment AI systems under emerging regulations such as the EU AI Act. However, effective fairness ...
arxiv.org
April 30, 2026 at 5:32 PM
asiabiega.bsky.social
In our #FAccT2026 paper, we embarked on a two-year co-design process that integrated computational, legal, and industrial expertise. We developed an end-to-end protocol for fairness monitoring based on multi-party computation.
April 30, 2026 at 5:32 PM
asiabiega.bsky.social
New papers at #FAccT2026 and #CHI2026: The EU AI Act mandates fairness monitoring for high-risk AI systems. Yet, fairness monitoring will often require access to sensitive data, and the processing of such data is subject to strict legal protections under the GDPR. How to comply with both at once?
April 30, 2026 at 5:32 PM
asiabiega.bsky.social
Could we govern data consent through citizen assemblies? What would that look like? We design the concept of a "consent assembly" in our new #CHI2026 paper with @linkyi.bsky.social, Paul Goelz, @robin.berjon.com 🧵

#AIGovernance #DataGovernance #AIPolicy #GDPR #AIAct #FAccT2026 #DigitalOmnibus
From Clicks to Consensus: Collective Consent Assemblies for Data Governance | Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
dl.acm.org
April 13, 2026 at 12:18 PM
asiabiega.bsky.social
Reviewing of applications will begin on Monday, Jan 19. #FAccT #FAccT2025 #CHI2025 #ACL2025 #ICML2025 #NeurIPS2025 #FAccT2026 #CHI2026 #ACL2026 #ICML2026 #NeurIPS2026
asiabiega.bsky.social Asia Biega @asiabiega.bsky.social · Dec 19
I am hiring a PhD student at the Max Planck Institute for Security and Privacy. Topics of interest: (i) AI governance/regulation through computational and socio-technical lens, (ii) computational and socio-technical approaches to digital well-being. More information & how to apply:
asiabiega.github.io
January 16, 2026 at 9:37 AM
asiabiega.bsky.social
Following my role as #FAccT2025 General Co-Chair, I'm pleased to have been elected to the ACM FAccT Executive Committee. I look forward to continuing to serve this interdisciplinary community in the new capacity over the coming years. Hope to see many of you at #FAccT2026 in Montreal!
ACM FAccT - Organization
facctconference.org
November 14, 2025 at 12:57 PM
jlkoepke.bsky.social
if you are interested in how regulatory design shapes corporations' specific actions, processes, and policies to mitigate the material harms of AI systems, fair lending offers overlooked, key lessons. our new #FAccT2026 paper uncovers a lot of evidence on precisely these questions ⬇️
jlkoepke.bsky.social logan koepke @jlkoepke.bsky.social · Jun 4
🧵 How do companies in highly regulated domains actually test their AI systems for and mitigate discrimination? Our new @upturn.org paper at @facct.bsky.social w/ Emily Black, @mbogen.bsky.social, @s010n.bsky.social, and @wesleydeng.bsky.social, tries to answer this question: arxiv.org/abs/2606.02957
The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice EMILY BLACK∗, New York University, USA MIRANDA BOGEN∗, Center for Democracy & Technology, USA LOGAN KOEPKE∗, Upturn, USA SOLON BAROCAS, Microsoft Research, USA WESLEY DENG, Carnegie Mellon University, USA MINGWEI HSU, Upturn, USA U.S. financial institutions subject to fair lending laws have been running algorithmic fairness programs for decades. Despite this long history, remarkably little is known about how these requirements operate in practice. In this paper, we offer the first empirical account of how financial institutions test for and mitigate algorithmic discrimination on the ground. In doing so, we shed light on how the regulatory design of fair lending law and regulation have shaped the policies, processes, and practices of fair lending programs. Drawing on 35 semi-structured interviews with participants across the fair lending ecosystem, we find that while financial institutions have a floor of fairness practices aimed at preventing discrimination in lending largely absent in other domains, the specifics of how firms test for discrimination and search for less discriminatory algorithms varies widely. We also find that regulatory supervision via fair lending examinations has been the key driver of compliance work, but that the practical impact of fair lending programs often depends on how well they can navigate competing business incentives, perceived legal tensions, and regulatory uncertainty. Ultimately, our findings highlight the unique role that supervisory authority has played in successfully fostering fair lending practices—a regulatory design feature that is distinct from other areas of civil rights law and almost completely absent from recent policy proposals for dealing with algorithmic discrimination. CCS Concepts: • Social and professional topics → Computing / technology policy
June 4, 2026 at 11:40 PM
jlkoepke.bsky.social
excited to visit Montreal in two months for #FAccT2026! I enjoyed serving as an AC and am happy work got accepted.

looking forward to seeing folks. eager to chat about policy interventions and regulatory design to confront discriminatory and unfair AI systems.
April 26, 2026 at 3:51 PM
annarezk.bsky.social
Today I’ll present our work on participatory AI auditing in Information Retrieval contexts in the Participatory AI session in Ballroom West. Looking forward to the discussions :)
#FAccT2026

Read our paper here:
dl.acm.org/doi/10.1145/...
June 27, 2026 at 2:12 PM
craigreynolds.bsky.social
Thanks for this insight. Congratulations on publication at FAccT2026 (of which I had not heard). May I suggest you submit a summary to a SIGGRAPH Posters venue? They encourage work published elsewhere of interest to the SIGGRAPH community. S2026 posters just wrapped up but maybe SA2026 or S2027?
May 21, 2026 at 4:19 PM
aimediademlab.bsky.social
💼 Conference season is underway!

Our lab will be well-represented in all corners of the world, with our members present at #ICA26, #EPSS2026, and #FAccT2026 (among others). Are you also attending?

👇️ See the comprehensive overview of conference contributions on our website!
Upcoming conferences for the AI, Media & Democracy Lab – AI, Media & Democracy Lab
AI, Media & Democracy Lab
www.aim4dem.nl
June 2, 2026 at 11:00 AM
saiphcita.bsky.social
My lab is presenting today at FAccT! 🎉

We study what AI-enhanced technologies justice-impacted individuals imagine

Rather than seeking AI to fight the justice system, they envisioned AI to help navigate its power structures

Paper: par.nsf.gov/biblio/10682...

#FAccT26 #FAccT2026
June 25, 2026 at 4:12 PM
stephanietwang.bsky.social
New paper in #FAccT2026 by Megha Govindu, myself, Sorelle Friedler and Danaé Metaxa! Motivated by genAI’s potential involvement in media production, we leverage network measures to evaluate gender biases in LLM-generated film screenplays.
Kudos to @meghag.bsky.social for leading this endeavor ✨
meghag.bsky.social Megha @meghag.bsky.social · Jun 25
Now that AI is writing our movies, will it let women talk?

In our paper, we leverage the #BechdelTest and other social network-based measures to evaluate LLM-generated movie scripts for gender bias. Join us today at ACM #FAccT2026: Thursday, June 25th at 10:45 am in Joyce to hear more!
Hollywood writers went on strike to protect their livelihoods from generative AI. Their remarkable victory matters for all workers. | Brookings
www.brookings.edu
June 25, 2026 at 12:45 PM
paulskyy.bsky.social
Check out some of the creations from the stitch’n’bitch CRAFT session at #FAccT2026
June 26, 2026 at 9:42 PM
paulskyy.bsky.social
Evaluating Evaluations

The EvalEval research community presents their ongoing projects in a tutorial session.

Their work focuses on assessing ways of evaluating LLMs. They emphasize the impact of implementational details on evaluation results.

#FAccT2026
June 26, 2026 at 9:08 PM
paulskyy.bsky.social
From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint
dl.acm.org/doi/10.1145/...

Sasha Luccioni presents their work on LCA assessments of AI. They use an eight-stage LCA framework to assess AI’s impact on the environment.

#FAccT2026
June 26, 2026 at 8:22 PM