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🚀 We’re making the WORKBank database public and building an interactive data explorer! 👇 To get notified when it’s live or request an occupation we missed (see Appendix D.1 in our paper), drop a comment below. forms.gle/ocDWGhRDS8y6Qw…

Super comprehensive paper from Yijia Shao and Humiska asking a fundamental question: what tasks do people *want* automated by AI? This is my favorite figure, tons to learn from this work!

AI agents are transforming the workforce, but workers’ voices are often missing! Where do they want AI help? Which human skills will matter more? We mapped how AI agents could #automate vs. #augment jobs across the U.S. workforce with a worker-first look of the future of work!

Some tasks are painful to do. But some are fulfilling and fun. How do they line up with the tasks that AI agents are set to automate? Not that well, based on our new paper "Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce"

By surveying workers and AI experts, this paper gets at a key issue: there is both overlap and substantial mismatches between what workers want AI to do & what AI is likely to do. AI is going to change work. It is critical that we take an active role in shaping how it plays out.

From Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce. A link to the paper. arxiv.org/abs/2506.06576 Co-authored with Yijia Shao Humishka Zope, Yucheng Jiang, Jiaxin Pei, David Nguyen and Diyi Yang Some interesting

Earlier we released SynthesizeMe #ACL2025NLP — a method for building a personalized persona prompt from your LLM interactions 🤖. Wanted to highlight this video from the thread that gives a lot of intuition for how SynthesizeMe (and related prompt opt algos) work! 👇

41% of YC AI startups are solving tasks workers don't need automated New Stanford study shows workers actually DO want AI, but for repetitive work that frees them up for higher value tasks Startups are chasing full automation where partnership would work better

BREAKING: Stanford just surveyed 1,500 workers and AI experts about which jobs AI will actually replace and automate. Turns out, we've been building AI for all the WRONG jobs. Here's what they discovered: (hint: the "AI takeover" is happening backwards)

How do we reliably judge if AI companions are performing well on subjective, context-dependent, and deeply human tasks? 🤖 Excited to share the first paper from my postdoc (!!) investigating when LLMs are reliable judges - with empathic communication as a case study 🧐 🧵👇

AI companions aren’t science fiction anymore 🤖💬❤️ Thousands are turning to AI chatbots for emotional connection – finding comfort, sharing secrets, and even falling in love. But as AI companionship grows, the line between real and artificial relationships blurs. 📰 “Can A.I.

The rise of AI Companion and how it affects well-being 🤔 Check out work below from Yutong Zhang Dora Zhao 👇 🤖People with less offline support are more likely to seek companionship from AI 🤖 General interaction links to greater well-being, but seeking companionship is tied

There’s a lot of speculation around how AI will change human relationships. To dig into this question, we collect surveys from 1000+ Character.AI users and 400,000+ messages to analyze the relationship between AI companionship and well-being. Preprint:

Diyi Yang Yutong Zhang Dora Zhao so much cool research on human-AI interaction from you recently! really important topics too

Chatbot companions are going to be our society's next moral panic, I suspect. Work by Yutong Zhang suggests that people turn to them especially when they lack outside social support.

Thrilled to share that I'll be starting as an Assistant Professor at Georgia Tech (Georgia Tech School of Interactive Computing / Robotics@GT / Machine Learning at Georgia Tech) in Fall 2026. My lab will tackle problems in robot learning, multimodal ML, and interaction. I'm recruiting PhD students this next cycle – please apply/reach out!

Friday, I speak at #TNW in Amsterdam about why “AI for Good” isn’t good enough – and what we should be doing instead. Human-centered AI doesn’t mean just user-centered design, but also requires a community- and society-centered approach. lnkd.in/gxwUxgrA