#humanaiinteraction — Public Fediverse posts

👋 Welcome to RC Trust, Fiona Lau! 🤖✨
Fiona joined our Human-AI Interaction group as a PhD researcher.
Her research focuses on:
🎨 generative AI
🤝 human-AI co-creation
🧠 interactive systems
She explores how AI can support and extend human capabilities – while preserving human agency 💡
Outside research: 🏐🧘‍♀️🎹🌿
Welcome, Fiona! 🚀
https://rc-trust.ai/news/news-detail/shaping-collaborative-futures-of-human-ai-systems

#HumanAIInteraction #GenerativeAI #HCI #AIResearch #PhDLife #RCTrust

👋 Welcome to RC Trust, Fiona Lau! 🤖✨
Fiona joined our Human-AI Interaction group as a PhD researcher.
Her research focuses on:
🎨 generative AI
🤝 human-AI co-creation
🧠 interactive systems
She explores how AI can support and extend human capabilities – while preserving human agency 💡
Outside research: 🏐🧘‍♀️🎹🌿
Welcome, Fiona! 🚀
https://rc-trust.ai/news/news-detail/shaping-collaborative-futures-of-human-ai-systems

#HumanAIInteraction #GenerativeAI #HCI #AIResearch #PhDLife #RCTrust

🚀 PhD opportunity at RC Trust
Join Prof. Giulia Barbareschi’s team and work on Mixed Ability Interaction 🤝♿
Design AI, XR & robotic systems that enable people with and without disabilities to collaborate, create & connect 🤖
🌍 International & interdisciplinary environment
🎓 Strong societal impact
🔗 https://www.uni-due.de/karriere/stelle-rar.php?kennziffer=171-26
#PhD #InclusiveTechnology #Accessibility #HumanAIInteraction #RCTrust

👋 Welcome to RC Trust, Aria Kalforian! 🤖

Aria joined the Human-AI Interaction group in March 2026 as a PhD researcher.

Her work explores the human and societal impacts of AI-driven technologies – including conversational agents, social media algorithms, and large language model-based assistants.

Welcome to the team, Aria! 🚀

#HumanAIInteraction #ResponsibleAI #HCI #AIResearch #DigitalSociety #RCTrust #PhDLife

👋 Welcome to RC Trust, Aria Kalforian! 🤖

Aria joined the Human-AI Interaction group in March 2026 as a PhD researcher.

Her work explores the human and societal impacts of AI-driven technologies – including conversational agents, social media algorithms, and large language model-based assistants.

Welcome to the team, Aria! 🚀

#HumanAIInteraction #ResponsibleAI #HCI #AIResearch #DigitalSociety #RCTrust #PhDLife

👋 Welcome to RC Trust, Dr. Jonathan Liebers! 🤖

Since March 1, 2026, Jonathan has joined the Human-AI Interaction group as a postdoctoral researcher.

His research focuses on Agentic AI and implicit interaction – exploring how intelligent systems can support users proactively and understand contextual needs without explicit commands.

We’re excited to have you on board! 🚀

#HumanAIInteraction #AgenticAI #HCI #AIResearch #AcademicLife #RCTrust #XR #MachineLearning

The briefing also features perspectives from:

👤 Dr. Anne Reinhardt, Ludwig-Maximilians-Universität München

👤 Prof. Dr. Ute Schmid, Otto-Friedrich-Universität Bamberg / Bamberger Zentrum für Künstliche Intelligenz (BaCAI)

👤 Prof. Dr. Kerstin Denecke, Berner Fachhochschule BFH

📄 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗚𝗲𝗿𝗺𝗮𝗻 𝗯𝗿𝗶𝗲𝗳𝗶𝗻𝗴 (𝗦𝗠𝗖):
https://www.sciencemediacenter.de/angebote/chatbots-fehlerhafte-kommunikation-bei-gesundheitsfragen-26029

🧾 𝗡𝗮𝘁𝘂𝗿𝗲 𝗠𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝗽𝗮𝗽𝗲𝗿:
https://www.nature.com/articles/s41591-025-04074-y

#NLP #LLMs #HealthAI #HumanAIInteraction #Evaluation #UKPLab

👋 We’re happy to welcome Soumik Bhattacharjee to RC Trust! 🤖💬

Since February 1, 2026, he has joined the Human-AI Interaction group as a research assistant.

With a background in Digital Media, Soumik focuses on designing conversational AI systems that are:
🌍 multilingual
🧠 context-aware
🤝 socially intelligent

#HumanAIInteraction #ConversationalAI #AICommunity #HCI #MultilingualAI

📍 Ort: KI Makerspace, Wöhrdstraße 25, Tübingen
🧃 Teilnahme kostenlos, Snacks & Getränke inklusive

📩 Anmeldung bis 3.12.2025 an: [email protected]

Wir freuen uns auf einen offenen Austausch über persönliche KI-Interaktionen und die Rolle von Companions in unserem Alltag!

#PublicEngagement #HumanAIInteraction #AICommunity

AI: Explainable Enough

They look really juicy, she said. I was sitting in a small room with a faint chemical smell, doing one my first customer interviews. There is a sweet spot between going too deep and asserting a position. Good AI has to be just explainable enough to satisfy the user without overwhelming them with information. Luckily, I wasn’t new to the problem. 

Coming from a microscopy and bio background with a strong inclination towards image analysis I had picked up deep learning as a way to be lazy in lab. Why bother figuring out features of interest when you can have a computer do it for you, was my angle. The issue was that in 2015 no biologist would accept any kind of deep learning analysis and definitely not if you couldn’t explain the details. 

What the domain expert user doesn’t want:
– How a convolutional neural network works. Confidence scores, loss, AUC, are all meaningless to a biologist and also to a doctor. 

What the domain expert desires: 
– Help at the lowest level of detail that they care about. 
– AI identifies features A, B, C, and that when you see A, B, & C it is likely to be disease X. 

Most users don’t care how a deep learning really works. So, if you start giving them details like the IoU score of the object detection bounding box or if it was YOLO or R-CNN that you used their eyes will glaze over and you will never get a customer. Draw a bounding box, heat map, or outline, with the predicted label and stop there. It’s also bad to go to the other extreme. If the AI just states the diagnosis for the whole image then the AI might be right, but the user does not get to participate in the process. Not to mention regulatory risk goes way up.

This applies beyong images, consider LLMs. No one with any expertise likes a black box. Today, why do LLMs generate code instead of directly doing the thing that the programmer is asking them to do? It’s because the programmer wants to ensure that the code “works” and they have the expertise to figure out if and when it goes wrong. It’s the same reason that vibe coding is great for prototyping but not for production and why frequent readers can spot AI patterns, ahem,  easily.  So in a Betty Crocker cake mix kind of way, let the user add the egg. 

Building explainable-enough AI takes immense effort. It actually is easier to train AI to diagnose the whole image or to give details. Generating high-quality data at that just right level is very difficult and expensive. However, do it right and the effort pays off. The outcome is an AI-Human causal prediction machine. Where the causes, i.e. the median level features, inform the user and build confidence towards the final outcome. The deep learning part is still a black box but the user doesn’t mind because you aid their thinking. 

I’m excited by some new developments like REX which sort of retro-fit causality onto usual deep learning models. With improvements in performance user preferences for detail may change, but I suspect that need for AI to be explainable enough will remain. Perhaps we will even have custom labels like ‘juicy’.

#AI #AIAdoption #AICommunication #AIExplainability #AIForDoctors #AIInHealthcare #AIInTheWild #AIProductDesign #AIUX #artificialIntelligence #BettyCrockerThinking #BiomedicalAI #Business #CausalAI #DataProductDesign #DeepLearning #ExplainableAI #HumanAIInteraction #ImageAnalysis #LLMs #MachineLearning #StartupLessons #statistics #TechMetaphors #techPhilosophy #TrustInAI #UserCenteredAI #XAI

Wow. Huge.

#MiraMurati #CEO #ThinkingMachinesLab (Former #CTO #OpenAI)
Raises $2 billion seed round
$10 billion valuation
Building next-generation #AIplatform
Aimed at enabling more collaborative #HumanAIinteraction.
Deal led by Andreessen Horowitz with participation from Conviction Partners
Among the largest-ever seed rounds in Silicon Valley’s history.

Our interactions in digital spaces become increasingly intense, allowing algorithms to observe, record, and analyze every decision we make and how we respond to stimuli.
🔗 https://www.linkedin.com/pulse/we-training-ai-does-train-us-ingrid-motta-ingrid-motta-ph-d--cxxde/?trackingId=3kUQ%2BIXxgM%2BJ6j88deerPQ%3D%3D
#AITrainingUs #WhoTrainsWho #HumanAIInteraction #AlgorithmAwareness #DigitalFootprint #AIandSociety #DataSurveillance #ArtificialIntelligence #TechEthics #PrivacyMatters #HumanCenteredAI #EthicalTech #DigitalWellbeing #CriticalAI

Ich brauche demnächst eure Hilfe.

Text auf Englisch für mehr Reichweite😉

Support needed🙏
❗️Some friends and I have found a way to improve human-machine interaction—while also reducing energy consumption.

We just published it on #GitHub, and you’ll hear more about it soon.

And here’s the thing: it’s not just about code.

#AI #EnergyEfficiency #HumanAIInteraction #NewApproach

Bin morgen und übermorgen zusammen mit unserem kleinen Social Robot 🤖 auf dem #Absolventenkongress #Köln. Dort erzählen wir Euch gerne alles über unsere offenen #Jobs in #Cybersecurity, #ExplainableAI, #TrustworthyAI, #HumanAIInteraction, #UserCenteredDesign, #SoftwareEngineering und mehr... 🚀

https://absolventenkongress.de/de/karriere-events/absolventenkongress-deutschland/unternehmen/dlr_ev?matching=0

In 2021, I co-organized and participated as a panelist in a small workshop on Communication in Human-AI Interaction through the Humane-AI Network. Just realized that the recording is available on youtube and that it might interest some people here. We are talking about communication from an HCI and AI perspective, and it was really great and interesting!
https://www.youtube.com/watch?v=2mfUZcYfFjw
#HumanAiInteraction #HCI #HRI #CollaborativeAI