Hurry up!! Only two days to go for the next webinar. Secure your spot by registering here:

6/ Don’t miss this chance to learn how hybrid collective intelligence is shaping the next generation of medical diagnostics and beyond. 🗓️ **Nov 12, 2025** 🕠 **17:30 CET** 🎙️ Hosted by @HumanDx More info 👉 https://t.co/byaSx3aT69 #AIinMedicine #CollectiveIntelligence

5/ Presentation 3: The Future – What’s Next? 👨‍🏫 Jayanth Komarneni (CEO, Human Dx) Jayanth looks beyond medicine to imagine how hybrid collective intelligence might redefine expert systems across all domains of knowledge and problem-solving.

4/ Presentation 2: The Present – Hybrid (Human-AI) Collectives 🧑‍💻 Julian Berger (Max Planck Institute for Human Development) Julian explores how human and AI decision-making can be combined to create hybrid systems leading to higher accuracy and reduced costs.

3/ Presentation 1: The Past – Human-only Collectives 👨‍⚕️ Eugene Chu (Kaiser Permanente) How can groups of physicians outperform the best individual experts? Dr. Chu discusses pioneering work in quantitatively measuring clinician performance and building superior collectives.

2/ From human-only expert collectives to cutting-edge hybrid systems — this event traces the past, present, and future of collective intelligence in medicine. We’ll explore how these approaches can address AI weaknesses and advance diagnostic accuracy and reliability.

🧵Forthcoming webinar: 1/ How can we combine human and machine intelligence to make better medical diagnoses? 🧠🤖 Join @hacid_project and @HumanDx on Nov 12, 17:30 CET for the webinar "Hybrid Human-AI Collective Intelligence in Medical Diagnostics". 🔗 https://t.co/z5C8Oy4YB7

Happening TODAY! Join us for this exciting and timely webinar! We will discuss how we can design human-AI systems and harness hybrid collective intelligence while counteracting biases and the risk of exclusion of diverse communities. Register here:

Just one week to go! Register and secure your spot:

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5/ 🗓 Save the date! Sept 29, 2025 | 18:00 CEST | Online (Teams) For more details 👉 https://t.co/mY8sZ0oZt7 Please RT & invite your network 🙌

4/ Why it matters: 🤖 AI systems mirror human bias ⚖️ Fairness = ethics + compliance 🗣️ Language is culture—exclusion erases voices To harness #HybridCollectiveIntelligence, we must design inclusive, bias-aware AI for all.

3/🎙 Speakers and Talks 🔹Taha Yasseri — How Our Workplace Gender Biases Extend to AI Colleagues 🔹Roberta Calegari — From Opportunity to Compliance: Gender and Diversity in the AEQUITAS Framework for Fair AI 🔹E.M. Lewis-Jong — Language, data and cultural identity in AI systems

2/ Why attend? We’ll explore how gender & diversity shape human–AI collaboration, and how to design inclusive, fair systems free from bias. #AIethics #InclusiveAI

🧵1/ Welcome to HACID Webinar #4! Join us Monday, September 29, 2025 at 18:00 CEST, for an insightful discussion on "Gender and Diversity aspects in Hybrid Collective Intelligence." ` Register now: https://t.co/ADyEwScWFi

8/8 Bottom line: #HumanAI collaboration can significantly boost diagnostic accuracy—but more real-world testing is needed before clinical use. #FutureOfMedicine #AIethics

7/8 ⚠️ Limitations: - Only text-based cases were used (no real patients) - No analysis of treatment quality - Unclear acceptance by doctors/patients - Risks of bias & discrimination still exist #EthicalAI #MedAI

6/8 This shows major promise for next-gen clinical decision-support systems that combine human & machine intelligence. But there are important caveats...

5/8 The best outcomes came from mixed teams: 👩‍⚕️ + 🤖 > either alone Even adding one AI to a group of humans—or vice versa—boosted diagnostic accuracy. #CollectiveIntelligence

4/8 Results: ✅ AI ensembles outperformed 85% of human diagnosticians. ✅ But humans outperformed AI in certain cases. 🚨 When AI failed, humans often had the correct answer. #ArtificialIntelligence #Diagnostics