Iyad Rahwan | إياد رهوان

@iyadrahwan.bsky.social

Director, Max Planck Center for Humans & Machines http://chm.mpib-berlin.mpg.de | Former prof. @MIT | Creator of http://moralmachine.net | Art: http://instagram.com/iyad.rahwan Web: rahwan.me

📣 I am hiring a 𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗶𝗻 𝗦𝗼𝗰𝗶𝗮𝗹 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗛𝘂𝗺𝗮𝗻-𝗔𝗜 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 📍 Berlin 📅 3-year position 💡 Ideal for researchers with a PhD in Computer Science, Cognitive Science, Applied Math, Physics, etc. and a strong background in AI, RL, and computational social science. Details below

Postdoctoral Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems - Max-Planck-Institut für Bildungsforschung

The Center for Humans and Machines (CHM) at the Max Planck Institute for Human Development in Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from A...

careers.mpib-berlin.mpg.de

Sharing our latest endeavour here. How reproducible is your paper? @philipjakobbln.bsky.social and I built rigor.me to ease the burden of computational reproducibility. If you provide a paper, data and code, we execute it and tell you what works (and what fails). Beta is available now: rigor.me

Rigor

rigor.me

RigorLabs@rigorlabs.bsky.social · last mo.

AUTOMATING COMPUTATIONAL REPRODUCIBILITY My colleague @philipjakobbln.bsky.social and I are currently engaged in a research project where we reproduce scientific results en masse. To that end, we built rigor.me, a platform for automatically reproducing papers using agents 🧵

🤖 Behind every machine and chatbot is a moral psychology — datasets and information that drive the decisions they make for us. Trouble is, we don’t quite yet understand it. @timvernimmen.bsky.social talks to computer scientist @iyadrahwan.bsky.social about the moral dilemmas AI may soon be facing.

How will AI make moral decisions for you and me?

There’s an urgent need to study how artificial intelligence makes ethical choices because it soon will make many such decisions in our stead, says computer scientist Iyad Rahwan

knowmag.org

LLMs are used widely in the behavioral sciences. But we have no good standards for how to do so. We introduce a consensus-based reporting checklist to improve transparency, reproducibility and ethical accountability of LLM-based research in the behavioural sciences. www.nature.com/articles/s41...

A reporting checklist for large language models in behavioural science - Nature Human Behaviour

Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve tra...

nature.com

AI can now scan papers, generate hypotheses, and even help discover drugs—but still relies on something human: judgment, curiosity, and making sense of messy results. The future isn’t AI replacing scientists—it’s amplifying them. Read more in @nature.com's editorial: www.nature.com/articles/d41...

Why AI cannot do good science without humans

With the arrival of ‘AI scientists’, it’s as well to remember that human wisdom, empathy and sheer messiness are as much part of progress as are process and efficiency.

nature.com

Can AI replace artists? Check out our latest study comparing lay persons vs trained artists using AI tools.

Thomas F. Eisenmann@thomasfmueller.bsky.social · 3mo ago

New paper published with @andreskarjus.bsky.social as shared 1st author: We show experimentally that professional artists' skill set can transfer to making images with generative AI; tested with artists, laypeople, and GPT-4o copying an image or creatively diverging from it, only by prompting.

My first long form scientific interview in Arabic. Thanks to Samah Altaweel from Deutsche Welle for hosting me. يسعدني جدا أن أشارككم أول مقابلة مطولة علمية لي باللغة العربية... مع الشكر و التقدير للسيدة سماح الطويل من التلفزيون الرسمي الألماني على الحوار الشيق. www.youtube.com/watch?v=562H...

هل تفوّت سوريا ثورة الذكاء الاصطناعي؟ إياد رهوان | سوريا لوين؟

YouTube video by DW عربية

youtube.com

New paper: “𝐀 𝐓𝐡𝐞𝐨𝐫𝐲 𝐨𝐟 𝐀𝐩𝐩𝐫𝐨𝐩𝐫𝐢𝐚𝐭𝐞𝐧𝐞𝐬𝐬 𝐓𝐡𝐚𝐭 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐟𝐨𝐫 𝐍𝐨𝐫𝐦𝐬 𝐨𝐟 𝐑𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐲” Agent-based models of social order work better when agents act by predictive pattern completion from prefix (culture/context) to suffix (action) than when they act through expected value maximization

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