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Francisco Maria Calisto
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Francisco Maria Calisto
@FMCalisto
ex-Visiting Scholar @cmuhcii | @CarnegieMellon. Human-Computer Interaction and Health Informatics enthusiast working as Researcher & Software Engineer.
Lisbon, Portugal Katılım Eylül 2009
4.9K Takip Edilen988 Takipçiler
We keep saying AI will reduce work.
But what if it amplifies it instead?
In high-stakes domains, more speed ≠ leads to better decisions. It often means more pressure, more ambiguity, more risk.
#AI #FutureOfWork
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Francisco Maria Calisto retweetledi
🚨[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.
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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/opportunities/…
#ClinicalAI #MedicalImaging #CancerAI #HumanCenteredAI #TrustworthyAI
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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
BreastScreening-AI@breastsai
A year in breast cancer care never pauses for the holidays. Over the course of twelve months, scans continued, decisions carried weight, and time remained the most fragile variable. That reality shaped our work. Merry Christmas! #MerryChristmas #BreastCancer
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Francisco Maria Calisto retweetledi
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
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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/fc6105…
#DesignForCare #Efficiency
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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
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Francisco Maria Calisto retweetledi
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.
ACM CHI Conference@acm_chi
Would you like to attend CHI 2026, be part of the conference team, and have your registration fee waived by volunteering ~20 hours? Friendly, enthusiastic, and collaborative applicants are encouraged. Learn more and apply here: 🔗 chi2026.acm.org/2025/10/16/cal… #CHI2026 #CHI26
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Francisco Maria Calisto retweetledi
Francisco Maria Calisto retweetledi
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/
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Francisco Maria Calisto retweetledi
1M citations! 🤯
Congratulations, @Yoshua_Bengio! Such an honor to have learned so much from you.
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Francisco Maria Calisto retweetledi
Tensor Logic could end the illusion that AI “understands” anything. If machines start reasoning with mathematical certainty, the real question becomes: can humans still keep up with how they think?
#AI #HCI #ExplainableAI #Research
Millie Marconi@MillieMarconnni
🚨 This MIT paper just broke everything we thought we knew about AI reasoning. These researchers built something called Tensor Logic that turns logical reasoning into pure mathematics. Not symbolic manipulation. Not heuristic search. Just tensor algebra. Here's how it works: Logical propositions become vectors. Inference rules become tensor operations. Truth values propagate through continuous transformations. Translation? Deduction and neural computation finally speak the same language. This isn't symbolic AI bolted onto deep learning. It's not deep learning pretending to do logic. It's a unified framework where both happen simultaneously. Every major AI model today hits a wall with consistency because logic is discrete and gradients are continuous. You can't backpropagate through "true or false." Tensor Logic erases that boundary completely. The system embeds Boolean reasoning, probabilistic inference, and predicate logic inside a single differentiable framework. That means you can train it end-to-end like a neural network while maintaining logical guarantees. In experiments, the system performs logical inference as matrix operations. Neural nets can now reason with symbolic precision. Symbolic systems can learn from data like neural nets. The numbers are wild. The system handles complex logical queries with the same computational efficiency as matrix multiplication. No expensive search. No combinatorial explosion. But here's the part that should terrify the incumbents: this scales. Traditional symbolic AI chokes on ambiguity. Neural networks hallucinate logical structures. Tensor Logic gets both right simultaneously. If this approach spreads, we might finally get models that don't just predict truths they can prove them. Systems that reason with mathematical certainty while learning from messy real-world data. The implications go way beyond academic AI. Every system that needs both learning and guarantees autonomous vehicles, medical diagnosis, financial systems, legal reasoning just got a new foundation. Current AI is either good at learning or good at logic. Never both. That dichotomy just ended. The fusion of logic and learning isn't coming. It's already here.
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Diagnostic errors account for 17.5 % of health spending and around 1.8% of GDP in a typical @OECD country. That is nearly a fifth of the system wasted on preventable failure.
Source:
dx.doi.org/10.1787/fc6105…
#Policy #HealthTech
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@plopesresearch 6.7k papers for #CHI2026! Incredible growth, but also a question: are we just scaling participation, or truly expanding imagination? The challenge now is not volume, but vision. As an AC, I am seeing both brilliance and overload.
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#CHI2026 breaking records with 6.7k paper submissions! It's a lot of papers (last year was ~5k, now we are closing in on ~7k!). I know we all can be grumpy about things in HCI but the field is definitely growing and very much engaging with new ideas! I find it really inspiring.
ACM CHI Conference@acm_chi
🚀 CHI 2026 received 6,731 completed paper submissions — a record number! Peer review is now underway — thank you to everyone making it possible! 📖 Learn more about this year’s review process: chi2026.acm.org/2025/08/08/rev… #CHI2026 #HCI
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Being part of the #CHI2026 journey is both intense and inspiring. Seeing over 6,700 submissions reminds me how vibrant and evolving our #HCI community is. Grateful to contribute as an AC and to witness how design, research, and care keep reshaping each other.
ACM CHI Conference@acm_chi
🚀 CHI 2026 received 6,731 completed paper submissions — a record number! Peer review is now underway — thank you to everyone making it possible! 📖 Learn more about this year’s review process: chi2026.acm.org/2025/08/08/rev… #CHI2026 #HCI
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It is 2 AM here in Portugal and I am still going through #CHI2026 Health track reviews. Serving as an Area Chair (AC) is a wild ride this year. The workload is intense as AC, but it reflects the scale and ambition of our HCI community.
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AI advancements are reshaping digital media with innovative tools and capabilities. Enhanced content creation, personalized experiences, and smarter analytics are on the rise. However, ethical considerations like data privacy, misinformation, and algorithmic bias must be priori…
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Thrilled to share that I’ll be joining Keio University Graduate School of Media Design(KMD) as a Project Senior Assistant Professor in the Embodied Media Project. Excited to start this new chapter in Japan and contribute to the community at @keio_kmd (Photo credit: @ktminamizawa)
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