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Awa Dieng

@adoubleva.bsky.social
1.7K followers 169 following 72 posts

machine learning researcher

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Awa Dieng @adoubleva.bsky.social · 26/04/2026
Huge thanks to everyone who participated in #AFAA2026 for the insightful talks and engaging discussions! Especial shoutout to @zeyutang.bsky.social and @prakharg.bsky.social for your incredible work and leading the team! Follow us at @afciworkshop.bsky.social for more updates soon!
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AFAA 2026 @ ICLR @afciworkshop.bsky.social · 26/04/2026
Excited for #AFAA2026 workshop at #ICLR2026 today 🎉 Join us for a full day of discussions on Fairness across alignment procedures and agentic systems! - 3 invited talks - 3 roundtables - 1 panel - 6 spotlights - 36 posters 📍Starting at 9am in Room 211, Riocentro Center
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Awa Dieng @adoubleva.bsky.social · 22/04/2026
For everyone heading to Rio for #ICLR2026, don’t miss the Algorithmic Fairness Workshop #AFAA2026 this Sunday!! We have a great program planned 👇🏾
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Awa Dieng @adoubleva.bsky.social · 02/02/2026
🚨The deadline has been extended to February 05!! 🚨 Consider submitting your drafts, either to the full paper track (6-9 pages) or the tiny paper track (1-3 pages). We accept dual submissions to other conferences. See details at afciworkshop.org
afciworkshop.org
AFAA 2026
The Algorithmic Fairness Across Alignment Procedures and Agentic Systems (AFAA) workshop aims to spark discussions on rethinking fairness in AI alignment procedures and agentic system development.
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DiscussingFilm @discussingfilm.net · 22/01/2026
‘SINNERS’ has broken history as the MOST-NOMINATED FILM OF ALL TIME at the Oscars with 16 nominations See the full nominees list: bit.ly/OscarNoms26
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Awa Dieng @adoubleva.bsky.social · 22/01/2026
Sinners hive, today is a good day 🎉🎉🎉 Delroy getting a nom, Wunmi getting a nom… I am so happy!!! AND overall sweep for Sinners 💃🏾💃🏾💃🏾
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Awa Dieng @adoubleva.bsky.social · 07/01/2026
Excited for the next edition of the Algorithmic Fairness workshop, this time at #ICLR2026! Consider submitting your work (full or short papers) by Jan 31. See the full call for papers below 👇🏾
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Awa Dieng @adoubleva.bsky.social · 24/12/2025
Carol’s audacity to say “we save the world”. You mean “we save me” 🙄 #pluribus
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Stephen Pfohl @stephenpfohl.bsky.social · 28/10/2025
Excited to share that our paper, “Understanding challenges to the interpretation of evaluations of algorithmic fairness” has been accepted to NeurIPS 2025! You can read the paper now on arXiv: arxiv.org/abs/2506.04193.
arxiv.org
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Disaggregated evaluation across subgroups is critical for assessing the fairness of machine learning models, but its uncritical use can mislead practitioners. We show that equal performance across sub...
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Awa Dieng @adoubleva.bsky.social · 10/08/2025
If Weapons gets noms/awards over Sinners, I will very mad…they are not even in the same league
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Vertaix (AI&Science Lab at Princeton University) @vertaix.bsky.social · 14/07/2025
#NewPaper A major development in the design and discovery of metal-organic frameworks (MOFs)! Thread below 👇👇👇 1/4
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Awa Dieng @adoubleva.bsky.social · 23/06/2025
While I am sad to not be at #FAccT2025 in person due to last minute visa delays, I am happy to follow along virtually. Here are the slides for this morning’s presentation tinyurl.com/nteasee-facc.... Feel free to reach out for any questions. I am happy to chat about this work!
tinyurl.com
Nteasee_FAccT25.pdf
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Siobhan Mackenzie Hall @smhall97.bsky.social · 23/06/2025
We are so proud of our ✨Honourable Mention✨ for the #FAccT2025 Best Paper Awards! This work was borne out of (com)passion, determination & a commitment to challenging norms in dataset collection & evaluation. Read more ➡️ arxiv.org/abs/2406.09496 Catch the presentation on Thurs, 11:45 local time! 🇬🇷
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ACM FAccT @facct.bsky.social · 21/06/2025
Looking for posts about #FAccT2025? Check out our 🦋 custom feed 🦋 which is already lively and full of papers, events, and attendees for this year's conference in Athens! Click the pin 📌 in the upper right hand corner to keep this feed quickly accessible. bsky.app/profile/mari...
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Jessica Schrouff @jessicaschrouff.bsky.social · 19/05/2025
Exciting update: there are multiple positions open on the Responsible AI team at GSK London UK, with a mix of applied research, foundational research and engineering. Apply here: jobs.gsk.com/en-gb/jobs/4...
jobs.gsk.com
AI/ML Engineer, Responsible AI in London, United Kingdom | GSK Careers
GSK Careers is hiring a AI/ML Engineer, Responsible AI in London, United Kingdom. Review all of the job details and apply today!
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Siobhan Mackenzie Hall @smhall97.bsky.social · 28/04/2025
Today I would like to share a journey that started 18 months ago, and while it is still ongoing, I'd like to celebrate the team's achievement of successfully having our work accepted to #FAccT2025! 🎉 🔗 arxiv.org/pdf/2406.09496
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Awa Dieng @adoubleva.bsky.social · 20/04/2025
Sinners was perfect omg!! Thank you Ryan Coogler, thank you 🙏🏾 and Ludwig Göransson: you will always be goated in this house
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Awa Dieng @adoubleva.bsky.social · 16/04/2025
Congrats to my co-leads @dr-nyamewaa.bsky.social, Iskandar Haykel and amazing co-authors👇🏾
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Awa Dieng @adoubleva.bsky.social · 16/04/2025
Excited to share that this work will be presented at @facct.bsky.social #facct2025 🎉! Looking forward to attending my first FAccT conference and meeting the community!
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Stanford HAI @stanfordhai.bsky.social · 26/03/2025
AI systems present an opportunity to reflect society's biases. “However, realizing this potential requires careful attention to both technical and social considerations,” says HAI Faculty Affiliate @sanmikoyejo.bsky.social in his latest op-ed via @theguardian.com: www.theguardian.com/commentisfre...
theguardian.com
Could AI help us build a more racially just society? | Sanmi Koyejo
We have an opportunity to build systems that don’t just replicate our current inequities. Will we take them?
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Awa Dieng @adoubleva.bsky.social · 19/03/2025
tfw you realize how much you’ve grown when something happens and new you handles it way better than old you would have
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Angelina Wang @angelinawang.bsky.social · 17/03/2025
I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.
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Vertaix (AI&Science Lab at Princeton University) @vertaix.bsky.social · 26/02/2025
#NewPaper We designed an "algorithmic microscope" & called it the Vendiscope. It is a new companion in the discovery process for scientists across fields and a powerful tool for diagnosing datasets and models for AI researchers. #AlgorithmicMicroscopy Link to paper: arxiv.org/abs/2502.10828
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Vertaix (AI&Science Lab at Princeton University) @vertaix.bsky.social · 04/02/2025
Congrats to @adjiboussodieng.bsky.social on being named an Early-Career Distinguished Presenter at the MRS Spring Meeting 2025! This honor is meant to highlight exciting new research directions in materials science. 🐯 #ChemScky #Princeton #VendiScoring #MatSci www.cs.princeton.edu/news/adji-bo...
cs.princeton.edu
Adji Bousso Dieng honored by the Materials Research Society | CS
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Thomas Steinke @stein.ke · 14/11/2024
I'm going to slowly repost my math notes from the other site🐦 here🦋; it's the only thing I posted over there that I think may have some long-term value & worth not deleting. These started out as notes for myself, but people seem to appreciate them. 😅 I'll keep track of all of them in this thread.
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Vertaix (AI&Science Lab at Princeton University) @vertaix.bsky.social · 13/01/2025
Our paper probing out-of-distribution generalization in machine learning for materials discovery is now published at Communications Materials (@NaturePortfolio) #MatSci #AI4Science #Chemsky #Vertaix 📓Link: nature.com/articles/s43...
nature.com
Probing out-of-distribution generalization in machine learning for materials - Communications Materials
State-of-the-art machine learning models are often tested on their ability to generalize materials deemed ’dissimilar’ to training data, but such definitions frequently rely on heuristics. Here, an an...
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sanmikoyejo.bsky.social @sanmikoyejo.bsky.social · 12/01/2025
📚 Incredible student projects from the 2024 Fall quarter's Machine Learning from Human Preferences course web.stanford.edu/class/cs329h/. Our students tackled some fascinating challenges at the intersection of AI alignment and human values. Selected project details follow... 1/n
web.stanford.edu
CS329H: Machine Learning from Human Preferences
Machine Learning from Human Preferences
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Awa Dieng @adoubleva.bsky.social · 05/01/2025
Elphaba: but I swear someday there will be a celebration throughout Oz that’s all to do with me Me: 😬 I mean, there will be a celebration alright, but probably not the one you are imagining 👀
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Siobhan Mackenzie Hall @smhall97.bsky.social · 31/12/2024
Ahead of the New Year, I wanted to take a moment to wish for everyone, in 2025, to have space to be themselves, time for family, friends and creativity, motivation to pursue their goals, and courage to stand out and speak up! Not to mention I hope for many laughs, and endless joy for all of us.🎉
media.tenor.com
a greeting card that says happy new year on it
ALT: a greeting card that says happy new year on it
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Awa Dieng @adoubleva.bsky.social · 27/12/2024
Retweeting for myself because why do I set meetings at 9am. Why??
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 27/12/2024
Okay, new years resolution. No meetings before 12. Posting this so people can yell at me when I try to schedule a meeting before then
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Hellina Hailu Nigatu @hellinanigatu.bsky.social · 21/12/2024
Tons of work to do in creating vocabulary to discuss these issues so our ethics work is not just theory but can translate to practice...
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Hellina Hailu Nigatu @hellinanigatu.bsky.social · 21/12/2024
Finally got around to reading this awesome paper from @adoubleva.bsky.social and this finding is really making me think...I see it in my own circles of friends/fam having an overall +ve attitude towards AI and i usually find it hard to communicate about harms/AI in my native language...
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Awa Dieng @adoubleva.bsky.social · 16/12/2024
Me after NeurIPS 😂
media.tenor.com
a woman in a blue dress is standing in front of a bed with an alarm clock on the nightstand that says 4:20
ALT: a woman in a blue dress is standing in front of a bed with an alarm clock on the nightstand that says 4:20
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Awa Dieng @adoubleva.bsky.social · 15/12/2024
That’s a wrap for #AFME2024!!! 🎉 Thank you to all the authors, attendees, roundtable leads and speakers for the great presentations and insightful discussions!
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Awa Dieng @adoubleva.bsky.social · 15/12/2024
Our amazing panellists discussed how to define fairness and challenges of evaluation, ethical considerations and interdisciplinary collaboration for addressing different dimensions of fairness! @jessicaschrouff.bsky.social @sanmikoyejo.bsky.social @sethlazar.org Hoda Heidari
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
For the final contributed talk, Ben Laufer discussed the fundamental limits in the search for less discriminatory algorithms!!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Another great contributed talk!! Natalie Mackraz discussed her work on evaluating gender bias transfer between pre-trained and prompt-adapted LLMs
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
In the third contributed talk, Prakhar Ganesh presented his paper comparing g bias mitigation algorithms in ML!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
To kick off the afternoon session, we have a great talk from @angelinawang.bsky.social on the need for group difference awareness and a new suite of benchmark for assessing this metric in LLMs!!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Ending the morning session with great discussions at the roundtables 🎊 See you after lunch
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
In the last invited talk of the morning, we have @sethlazar.org giving an insightful talk on evaluating the ethical competence of LLMs!!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
The second contributed talk at #AFME2024. To Eun Kim discussed his paper “Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation”
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Our first contributed talk is by Alex Tamkin presented his work on Evaluating and Mitigating Discrimination in Language Model Decisions!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Another great talk of the day by @krvarshney.bsky.social discussing his work on building harm detectors and guardian models for large generative models! He also addressed the need to broaden the dimensions of harms in different use cases
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Great first talk by Hoda, giving an overview of fairness metrics in traditional fairness and generative models. She discussed the desiderata for a Good Measurement and steps towards building contextually aware fairness metrics in LLMs!
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Awa Dieng @adoubleva.bsky.social · 14/12/2024
Off to a great start with the opening remarks by @nandofioretto.bsky.social on why this year’s topic.
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