Fernando Diaz

scene from "back to school" (1986) where rodney dangerfield hires a group of experts to complete his assignments.

“back to school” but rodney dangerfield uses wealth to pay for claude max

🎭 How do LLMs (mis)represent culture?
🧮 How often?
🧠 Misrepresentations = missing knowledge? spoiler: NO!

At #CHI2026 we are bringing ✨TALES✨ a participatory evaluation of cultural (mis)reps & knowledge in multilingual LLM-stories for India

📜 arxiv.org/abs/2511.21322

1/10

Allen Newell and Herbert A. Simon. Human problem solving. Prentice-Hall, Inc., 1972.

Microsoft Research NYC is hiring a researcher in the space of AI and society!

Applications for graduate students in computing, sociology, humanities willing to participate in the FAccT 2026 Doctoral Colloquium are open! https://facctconference.org/2026/callfordc.html

what’s surprising here is less that these papers were written or accepted with fabricated citations, but that it’s a symptom that actually reading, understanding, and analyzing literature has deteriorated for both authors and reviews.

Bob & Carol & Ted & Alice & Mothra

as AI increasingly supports shopping and ads, it’s worth remembering that retrieval often shapes who gets exposure in final generated output. in a recent paper, @teknology.bsky.social uses methods from fair ranking to assess and address exposure bias in downstream generation.

841.io/doc/fairrag....

do syllabi still include the mythical man-month? one of the more valuable texts i purchased as an undergrad. and prolly still v relevant, if not moreso.

PhD and Postdoc positions drop! The Research Council of Norway funded MishMash Centre for AI & Creativity has announced 18 doctoral and 6 postdoc positions in arts and/or science. I’m a member of the Scientific Advisory Board and so pleased to see this happening.

mishmash.no/news/positio...

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:

Research Intern - Sociotechnical Systems | Microsoft Careers Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Researc...

We are looking for advanced PhD student interns! Spend 12 weeks scratching a research itch in our Cambridge Massachusetts lab. Closes January 17.

apply.careers.microsoft.com/careers/job/...

combination proctoring center-dunkin franchise. 👍

The influence of domain knowledge is huge when it comes to applied AI.

Domain expertise can prevent overengineering and/or unnecessary costs.

Working in the legal industry as an AI scientist it became obvious early on how crucial it is to build the bridge towards domain experts.

Every day.

📣 It's again that time of the year 🤩 - our internship call for the FATE team @ MSR Montreal and our collaborators is now up! 🎉🎉

We are broadly looking for candidates interested in perceptions, evaluation, uses, and impacts of AI!

#FAccT #FAccT2025 #CHI2025 #NeurIPS2025 #ACL2025

Research Intern - Computational Social Science | Microsoft Careers Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Researc...

Want to be an intern at Microsoft Research in the Computational Social Science group in NYC (Jake Hofman, David Rothschild, Dan Goldstein)

Follow this link and do your thing! Deadline approaching soonish!

apply.careers.microsoft.com/careers/job/...

if you work on "AI" and are concerned with social issues, you should apply to be the new director of the Tufts AI Institute: apply.interfolio.com/178311 (Need to be tenureable in one of our engineering departments, but it's explicitly open to people who work on human-oriented stuff.)

Screenshot of the first page of the paper titled "rigor in ai: doing rigorous AI work requires a broader, responsible AI-informed conception of rigor"

On my way to
@neuripsconf.bsky.social -- this is my first time at #NeurIPS and looking forward to seeing folks and presenting our paper on Rigor in AI. Do find me if you want to chat about rigor in AI, anthropomorphic AI, or evaluations #NeurIPS2025

I suspect AI can generate things that look like good systematic reviews to some, the same way it can generate proofs or experiments that look like good theory or analysis to some; while others (reviewers, experts in those methods) will recognize the errors.

on the other hand, position papers in more algorithmic venues are new. what counts as a good position paper is unclear. I suspect for moderation this matters bc we need to understand what a position paper below threshold means.

I hope that review articles that use a systematic review as a method would be considered to use evidence.

the quality of the type of work depends on community norms and peer review. I don’t know enough about how arxiv moderation works to suggest a protocol but it seems like the new policy excludes work w evidence that is more legible to some of the cs community.

even within ai, we often have theory papers rejected for lack of empirical evidence, empirical papers rejected for lack of theoretical evidence, evaluation papers rejected for lack of mitigation.

a philosopher once told me, in response to my concern about their paper missing relevant work, that they didnt have citations bc their community’s way of working was to go away, think, come back, and write, without consulting the literature deeply.

this may be the core of the problem. “good evidence” can vary by discipline. a paper w lots of reasonable evidence in one discipline can look thin from another.

[15] R Mehrotra et al, User interaction sequences for search satisfaction prediction, 2017.

[13] A Hassan et al, Beyond dcg: user behavior as a predictor of a successful search, 2010.
[14] A Hassan et al, A task level metric for measuring web search satisfaction and its application on improving relevance estimation, 2011.

[11] L Zou et al, Reinforcement learning to optimize long-term user engagement in recommender systems, 2019.
[12] Y Xiao et al, Addictive screen use trajectories and suicidal behaviors, suicidal ideation, and mental health in us youths, 2025.

[9] J Huang et al, No clicks, no problem: using cursor movements to understand and improve search, 2011.
[10] L Zhou et al, The design and implementation of xiaoice, an empathetic social chatbot, March 2020.

[6] S Milli et al, From optimizing engagement to measuring value, 2021.
[7] T Joachims, Optimizing search engines using clickthrough data, 2002.
[8] J Li et al, Good abandonment in mobile and pc internet search, 2009.