#AIES2026
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jennahgosciak.bsky.social
New 📝paper at #AIES2026 ”A Critical Pragmatism Approach for AI Ethics: Lessons from Urban Planning Theory” with @karenlevy.bsky.social and @allisonkoe.bsky.social. 🔗: ojs.aaai.org/index.php/AI...
October 14, 2026 at 7:09 AM
anthropunk.bsky.social
The "E" in #AIES2026 stands for ETHICS.
So a Claude opening presentation is a bit... well... tone deaf at best.
geomblog.bsky.social Suresh Venkatasubramanian @geomblog.bsky.social · 3d
At the opening session for #AIES2026. And all I can think of is how the opening presentation was clearly Claude generated from the fonts and style :). Nothing wrong with that - it's a time saver - but it's a distinct aesthetic.
October 12, 2026 at 7:38 AM
geomblog.bsky.social
A constant refrain here at #AIES2026 is "we need to get policymakers to move on the ideas we are presenting". I think that's a deep misunderstanding of the research to policy movement pipeline, and overestimates the "policy readiness" and the structural contributions of individual research papers.
October 14, 2026 at 7:32 AM
aolteanu.bsky.social
A quick reminder that we should not conflate *confidence* with *expertise* -- one helps you to notice whether an output is correct while the other does not #AIES2026
October 12, 2026 at 7:41 AM
ashwxn.bsky.social
stop generating hypothetical scenarios and marginalized people using LLMs to study harms to skip the labor of working with real people lol
#AIES2026
October 12, 2026 at 2:54 PM
geomblog.bsky.social
At the opening session for #AIES2026. And all I can think of is how the opening presentation was clearly Claude generated from the fonts and style :). Nothing wrong with that - it's a time saver - but it's a distinct aesthetic.
October 12, 2026 at 6:51 AM
pettter.bsky.social
Excellent keynote by Sandra Wachter now at #AIES2026 questioning what the public is actually getting for all the benefits and subsidies that are rained upon the AI industry.
October 12, 2026 at 11:45 AM
uhleeeeeeeshuh.bsky.social
Are algorithm audits meaningfully fixing issues in algorithmic systems? In our paper at #AIES2026 this week, @davidthewid.bsky.social and I argue that it’s time to deprioritize algorithm audits & instead shift scrutiny to the larger systems of power in which audits sit. 1/n
image of first page of the AIES 2026 paper titled "No More Plaudits for Algorithm Audits: A Provocation" by Alicia DeVrio & David Gray Widder
October 12, 2026 at 1:06 AM
nnkennard.bsky.social
Irina Shklovski’s thought provoking keynote talked about whether common computing practices and tacit shared values might fundamentally conflict with the demands of Responsible AI 😲#aies2026
October 14, 2026 at 7:04 AM
uhleeeeeeeshuh.bsky.social
If you’re at #AIES2026, catch @davidthewid.bsky.social presenting this on Wed, Oct 14 at 10:45 a.m. — and regardless, you can find the full paper here: ojs.aaai.org/index.php/AI.... 3/n
View of No More Plaudits for Algorithm Audits: A Provocation
ojs.aaai.org
October 12, 2026 at 1:09 AM
reniebird.bsky.social
We had an #AIES2026 paper about this! ojs.aaai.org/index.php/AI....

And of course, our AI Policy Summer School is an attempt to communicate the required skills to students :)
Bridging AI Research and Policy: A Co-Production Framework and the Case for Policy Transfer Offices | Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
ojs.aaai.org
October 14, 2026 at 4:19 PM
aihub.org
aihub.org/2026/10/12/w...
What’s on the programme at #AIES2026? - ΑΙhub
aihub.org
October 15, 2026 at 8:46 AM
davidmanheim.alter.org.il
Heading to Malmo for #AIES2026, Sun-Thurs.

Looking forward to seeing people there, feel free to DM / email / etc. if you'd like to meet up!
October 11, 2026 at 3:54 AM
alexanderloth.bsky.social
I wrote up a longer reflection on presenting at #AIES2026, the paper and the conversations around it on LinkedIn: lnkd.in/p/ez5yhFCz
#aies2026 #aigovernance #disinformation #deepfakes #aiethics | Alexander Loth
Outside my day job, I research AI disinformation as part of my PhD. This morning I got to present our paper at AIES 2026 in Malmö. We asked 54 experts what to do about AI disinformation. They largely...
lnkd.in
October 12, 2026 at 9:07 PM
emmharv.bsky.social
I will be presenting "Data Annotation as Measurement" at #AIES2026 in Poster Session 3 (today @ 3:15PM CEST)!

ojs.aaai.org/index.php/AI...
A poster with the following content: Data Annotation as Measurement Emma Harvey, Allison Koenecke, Rene Kizilcec Data annotation... - is the augmentation of data for use in some downstream task - is a process that is under-documented and under-interrogated - is centered on maximizing agreement between multiple annotators - often produces low-quality data Through an interview study (N=10) and a literature review (N=132), we explore: How can we improve data annotation? Determine the sources of annotation issues before addressing them: [image of a dog mislabeled as a cat] What’s wrong with this label? Maybe… (A) The annotator: - is not following instructions (error) - is misrepresenting themselves (identity) (B) The instructions: - lack factual information (ambiguity) - lack value information (subjectivity) (C) The data instance: - lacks necessary information (impossibility) Use ideas from measurement theory to interrogate annotation reliability and validity: - Move beyond agreement to ask: are repeated annotations by the same annotator consistent? (test-retest reliability) - Clearly systematize and operationalize concepts that are being annotated so that it is possible to ask: are annotations (un)correlated with other measures of (un)related concepts? (convergent & discriminant validity) - Formalize the checks that researchers already conduct before working with annotated data to ask: do annotations pass the “sniff test” at scale? (face validity) - Use qualitative methods from the social sciences to ask: what are the societal impacts of using a set of annotations? (consequential validity)
October 14, 2026 at 7:47 AM
davidmanheim.alter.org.il
Fantastic story from Stefan Larsson @lund-university.bsky.social giving the keynote today at #AIES2026

He thought he was done working on copyright law, and had moved on to AI issues - then found out that *his book on copyright* had been pirated to train LLMs via the Anthropic class-action lawsuit.
October 13, 2026 at 7:22 AM
alexanderloth.bsky.social
Today at #AIES2026 in Malmö I joined the panel on Participation, Sovereignty, and Power in AI Governance with The Mitigation Paradox, joint work with Mina Schütz, Martin Kappes and Marc-Oliver Pahl. 3 takeaways:
https://doi.org/10.5281/zenodo.23302284
AIES 2026 Discussion Session 1 in Malmo Live: panel on stage under the conference screen, audience in the foreground.
October 12, 2026 at 9:12 AM
emmharv.bsky.social
I will be presenting "Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture" at #AIES2026 in Poster Session 1 (today @ 5PM CEST)!

ojs.aaai.org/index.php/AI...
A poster with the following content: Context and Symmetry in Auditing Emma Harvey, Emanuel Moss, Hauke Sandhaus, Abigail Jacobs, Mona Sloane AI auditing compares how a system should behave (nominal outputs) to how it does behave (actual outputs). - What inputs are relevant for identifying patterns in a system’s actual outputs? - What should a system’s nominal outputs look like? - Against which “ground truth” should accuracy be measured? We introduce the contextual audit, which makes claims about the accuracy of system outputs in the context of the practices that produce them and: - uses qualitative methods to uncover the context and assumptions underlying a system - context reveals actual practices used to produce system inputs and evaluate system outputs - assumptions point to ideal system behavior, and to facets across which system outputs should be evaluated - uses symmetry (from STS) to enable audits when ground truth is unknown or contested - symmetry requires treating competing theories of truth as if either might be true and points to where where measurements are in tension/where assumptions should be further investigated A Case Study of Skeleton Inference in Motion Capture - Mocap systems use sensors and algorithms to infer measurements about bodies - We audited the accuracy of body segment parameters (BSPs), e.g., the distance between body landmarks - Through field work at a mocap lab, we documented the context in which mocap for creative design is conducted - Through a historical literature review, we uncovered a key assumption: mocap systems are optimized for bodies that are thin and male - We tested whether BSPs are equally accurate across the facets of body size and sex - We followed standard practices used in mocap for creative design - The true value of BSPs is unknown, so we compared BSPs produced by a mocap system to those produced with a tape measure - We measured how differences between mocapped and tape measured BSPs vary across facets
October 12, 2026 at 2:46 PM
pranav-nlp.bsky.social
Today in #AIES2026, I will talk about my journey of my PhD. What I did and what I plan to do. I highly value society's and broader community input for my work, so if you wanna chat about surveillance, come by at poster S-100!
Title slide with a teal-to-blue gradient background reading “Resisting Surveillance AI: Mechanisms of Accountability Evasion and Community Engagement”, presented by A Pranav (S-100), with Trustworthy AI Hamburg and University of Hamburg logos. A rounded banner poses the question “How can technology and society hold each other accountable in the policies they jointly shape?” Below it, a bar running from yellow to magenta is labeled “How technology informs society?” on the left and “How society informs technology?” on the right. Three boxes branch from it: Technical audits, Governance audits and Community audits.
October 13, 2026 at 7:57 AM
pranav-nlp.bsky.social
I will be in #AIES2026 next week, presenting the following papers. Come by if you want to talk about surveillance, benchmarking, and age estimation!
Table with two columns, “Session” and “Time and Date”, listing five rows: (#1086) “Training on Mass Surveillance Datasets Provides No Empirical Benefits”, Monday, 5 pm; “Student Panel on Accountability and Autonomy”, Tuesday, 9 am; (#S-100) “Resisting Surveillance AI: Mechanisms of Accountability Evasion and Community Engagement”, Tuesday, 5 pm; (#1090) “Auditing AI-Washing in German Startups: A Mixed-Methods Study of Marketing Claims and Perceptions”, Wednesday, 10.45 am; and “Queer in AI socials”, all days after 6 pm.
October 10, 2026 at 11:45 AM
pranav-nlp.bsky.social
On Wednesday, I will present my very personal work on auditing AI startups. Here we look at how AI startups used AI-washing to attract investment for surveillance based products. #AIES2026
Title slide styled as a retro computer window with a salmon title bar, cream body and decorative sparkles. The title reads “Auditing AI-Washing in German Startups: A Mixed-Methods Study of Marketing Claims and Perceptions”, with a box below stating “Presentation by Pranav A”.
October 10, 2026 at 11:54 AM
alexanderloth.bsky.social
Our #AIES2026 paper (Malmö, tomorrow): 54 experts from 21 countries agree on the threats of AI disinformation but split on the solutions. Government regulation: 30% call it most effective, 15% least effective. The Mitigation Paradox.

Preprint: doi.org/10.5281/zeno...
October 11, 2026 at 6:41 PM
alexanderloth.bsky.social
Back from #AIES2026 in Malmö. Five things I took home, and how much of the week circled back to our Mitigation Paradox: experts agree on the threats of AI disinformation, but split on what to do about them. https://alexloth.com/aies-2026-wrap-up-malmoe/
Five Things I Took Home from AIES 2026 in Malmö
Agreement on the threat, disagreement on the fix.
alexloth.com
October 15, 2026 at 12:25 PM
chatox.bsky.social
How to address predictive arbitrariness in criminal recidivism risk assessment? We claim that choosing the lowest risk among the outputs of multiple models is a good strategy. Details on our new paper with Ashwin S., to be presented at #AIES2026 arxiv.org/abs/2606.021...
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
Prediction tasks over individual futures, which are inherently noisy, often admit multiple similarly accurate models. When these models produce different predictions for the same individual, they rais...
arxiv.org
October 9, 2026 at 8:52 AM
pranav-nlp.bsky.social
On Tuesday, I will give an overview of my PhD research which focuses on resisting surveillance AI. I will present my completed and upcoming auditing research on surveillance, age estimation and benchmarking (and what can you do about it!). #AIES2026
Title slide with a teal-to-blue gradient background reading “Resisting Surveillance AI: Mechanisms of Accountability Evasion and Community Engagement”, presented by A Pranav (S-100), with Trustworthy AI Hamburg and University of Hamburg logos. A rounded banner poses the question “How can technology and society hold each other accountable in the policies they jointly shape?” Below it, a bar running from yellow to magenta is labeled “How technology informs society?” on the left and “How society informs technology?” on the right. Three boxes branch from it: Technical audits, Governance audits and Community audits.
October 10, 2026 at 11:52 AM