Healthcare AI needs more than model performance alone. Trust, workflow integration, and #HumanComputerInteraction matter too. Very meaningful to see the @breastsai project moving forward through the EIC Pre-Accelerator supported by @EUeic. #HealthcareAI #HCI

Which regions of a pathology slide actually matter? Our latest paper explores uncertainty-aware patch selection for PAM50 breast cancer subtype prediction from histopathology images: doi.org/10.48550/arXiv.2604.… #ComputationalPathology #HealthcareAI

My current mood trying @openclaw on my machine: youtu.be/m0b_D2JgZgY?is=fWMa… #OpenClaw

Many healthcare AI systems are still evaluated as prediction tools. In practice, they become interaction systems. They reshape: attention, trust, cognitive workload, and clinical workflow. Clinical AI adoption is also an HCI problem. #HumanComputerInteraction #CHI2027

What to do as an #HCI researcher on a Sunday? Reading papers like this: doi.org/10.1145/3587271 #HumanComputerInteraction

🚨[Pls repost!] Agentic AI is stress-testing Explainable AI. We need to fix it. That's why I'm thrilled to announce the 6th Human-Centered Explainable AI (#HCXAI) workshop at #CHI2026 in Barcelona! 🚀 🎯 The challenge: LLM-based agents are fundamentally breaking our explainability paradigms. When AI systems plan multi-step strategies, invoke tools, and trigger cascading consequences—what does explainability even mean? ⚡️ Here's the urgency: Without explainability, there can be no accountability. And unaccountable AI leads to automated injustice. Since 2021, our HCXAI workshops have built a community of 450 researchers, practitioners, and policymakers from 21 countries. This year, we're reimagining explainability for agentic systems across the following areas: 1️⃣ Stakeholder Needs: What do users vs. developers actually need to know before, during, and after agent execution? 2️⃣ Explaining Agentic Behavior: Are chain-of-thought traces useful as explanations? How do we explain multi-step plans, tool invocations, and cascading effects? 3️⃣ Trust, Accountability & Failure Modes: How do we support calibrated reliance: appropriate trust vs. dangerous over-reliance? What happens when explanations fail through dark patterns, manipulation, or cognitive overload? What's the difference between excusable AI and explainable AI? 4️⃣ Sociotechnical Evaluation & Futures: How do we move beyond technical metrics to measure real understanding and decision quality? What participatory approaches center affected communities? What should agentic XAI look like in 2030? We're calling for papers, prototypes, and provocations (position papers, empirical studies, critical reflections, design fictions, system demos) that: 🔥 Challenges assumptions about what constitutes explainability 🚨 Exposes limits, failures, and unintended consequences 🌍 Bridges disciplines: HCI, AI, social science, law, design, domain expertise 🛠️ Proposes novel interaction paradigms or evaluation methods 📝 2-5 page single column papers (excluding refs) 🗓️ Deadline: Feb 19, 2026 🔗 hcxai.jimdosite.com/ 🌟 Past participants say HCXAI has become "central to their research practice", not just for the content, but for the authentic community that "preserves connection even as attendance soars past 100." The systems are being deployed now. The time to figure this out is now. w/ Justin Weisz, Andreas Riener, Ken Holstein, Min Kyun Lee, Amal Alabdulkarim 👉 Spread the word. Submit your work. See you in Barcelona.

Seeking collaborators for DIGITAL-2026-AI-09 who see medical imaging AI as more than a model. Clinical validation and Human AI Interaction matter. Let us build this together. platform.crowdhelix.com/oppo… #ClinicalAI #MedicalImaging #CancerAI #HumanCenteredAI #TrustworthyAI

A year like this reminds us that breast cancer research does not live in abstracts. It lives in time pressure, uncertainty, and clinical judgment. Progress in AI only matters when it is shaped by researchers who engage with that reality. The work continues. #ClinicalAI

Call for Volunteers: #CHI26 Posters Track ACs! If you want to help build the future of CHI Posters, join us! 👉 Sign up here: bit.ly/CHI26PostersAC 📩 For any questions, contact us at: posters@chi2026.acm.org

Halving diagnostic errors could free up 8% of health expenditure. Resources that could be reinvested in safety, innovation, and human-centered care. Source: dx.doi.org/10.1787/fc61057a-… #DesignForCare #Efficiency

Serving as AC for #CHI2026 reminded me how often we still design for ideals instead of realities. I am chasing the opposite. I study how people actually work with AI and how those frictions shape futures worth building. Follow if that resonates. #HumanComputerInteraction #HCI

Come help us at #CHI2026 as a student volunteer (volunteer below). In my first CHI (2012) I served as a student volunteer and it was such an amazing way to meet people in our community and help out.

14 sorting algorithms in just 60 seconds. v/@7etsuo

Does Compute Podcast: Nik Martelaro and Sarah Fox are working with public transit stakeholders to help design the next public transit systems, and create a model for safely and effectively bringing AI into the workplace. geekwire.com/does-compute/

1M citations! 🤯 
Congratulations, @Yoshua_Bengio! Such an honor to have learned so much from you.

6000 Years of World History in 1 Picture