Building Trusted AI for the Future. Let's get in touch! #trustedai #trustworthyai #ai #europe @DFKI @vision_claire @eu_tailor uk.dfki.de/DFKI_NEWS_ePaper/…

🥷🏻 "Pssst, @Conf_CLeaR authors, come closer"..."Got your paper rejected?" 😢 "DON'T WORRY! We got you covered 😘" claramas-workshop.github.io/… #causality #agents #ai @AAMASconf @JulienSiebert

CfP: 2nd Workshop on Model-based System Engineering and Artificial Intelligence - MBSE-AI Integration! Submit your papers concerning both AI for SE and SE for AI by Dec. 18. lnkd.in/emBdkvBP #ai #software #system #engineering #dev @MODELSWARDConf - @IRTSystemX - @DFKI

Goodbye X/eggs/echse/... You never flew high as a bird. Looking for a blue sky, henceforth. See you at ndrmyrvtl.bsky.social. 🐤

🎓 Exciting news for PhD students in AI! @DFKI & @Inria are hosting the 4th Annual AI Summer School at the @Saar_Uni. Topics: Large AI Models, Robotics & more. Present your research, learn, and network! 🚀 📅 Don’t miss it. 👉 bit.ly/4g4AHbd #AI #PhD #Saarland

🌟 New TAILOR #ImpactStory! 🌟 Discover "The TAILOR Handbook of Trustworthy AI" by Umberto Straccia & Francesca Pratesi. Promoting ethical AI for all! Read more: tailor-network.eu/the-tailor… #TrustworthyAI #AISafety

Let's build AI systems that we can trust, built on standardised metrics and principles.

🌟 New TAILOR #ImpactStory! 🌟 Check out our #TrustworthyAI in Education initiative by Peter Flach & @PerelloNieto, with @BarryOSullivan & VISION. Read more: tailor-network.eu/trustworth… #AI #PhD #Innovation #Collaboration #AIResearch #Education

We are now going on with the Session 2: Industry collaboration and transfer, chaired by @atomax and @slusallek How the collaboration and transfer process between academia and industry can be improved? W/ @wicomulder, @FredrikHeintz

🌟 Don't Miss Out! 🌟 Be part of the 1st Industry Collaboration and Transfer Exchange on AI - "From Research to Market" organised by the TAILOR industry collaboration and transfer group! 🤝 📅 When: 6th and 7th May 2024 📍 Where: Innovation Center, Saarbrücken 1/5

Im @Research_Table haben @ReinhardKarger und ich heute eine Standpunkt zu innovationsfreundlicher KI-Regulierung. table.media/research/standpu…

🚀 Exciting Update from the @EurAI_ECCAI!🚀 📢 Stay tuned for insights and outcomes! 🤝 Co-organised by CLAIRE and @eu_Robotics, with support from @scibus 1/2

🚀 Europe's Moonshot Ambitions for AI: How to Do It* event is happening in Brussels, Belgium. 🤝Co-organised by CLAIRE and @eu_Robotics, with support from @scibus. 1/3

🌟 Exciting News! Join us at the Innovation Center, Saarbrücken, for the 1st Industry Collaboration and Transfer Exchange on AI, themed "From Research to Market"! 🌟 📅 Date: 6th & 7th May 2024 📍 Location: Innovation Center 🔗 Register Here: lnkd.in/db3Fn376 1/3

📢 Calling all AI enthusiasts! Get ready to supercharge your knowledge with our upcoming NAI webinar by @FrankVanHarmele. Hosted by @pascalhitzler, uncovering key insights and practical tips. Reserve your seat today, us06web.zoom.us/meeting/regi… #Webinar #NAI

Don't miss this opportunity.

🚀 Don't Miss Out! Register Now for the 1st Industry Collaboration and Transfer Exchange on AI 🤖 1/6

In the recent "Survey of Tools for Software Engineering" by #UnitedInnovations, I published an article on "AI Engineering for Trust by Design". Which aspects should be considered when developing trustworthy AI systems? ➡united-innovations.eu/publik… #dfki #AI #TrustbyDesign #GFFT

Get ready for the 1st Industry Collaboration and Transfer Exchange on AI – “From Research to Market”! Join us on May 6-7 in Saarbrücken, Germany, as we shape the future of AI research and its practical applications in the market. tailor-network.eu/events/1st…

Join our workshop on Trust in Human-Agent Teams (MultiTTrust3) during HHAI 2024. The CfP is now available. #ai #trust #trustworthyai #human #agent #team #collaboration #interaction easychair.org/cfp/MultiTTrus… multittrust.github.io/3ed/ hhai-conference.org/2024/

A good example for demonstrating the computational role of a world-model is a "street map". A map permits you to compare distances and choose routes without actually driving through the same city before. More importantly, a map allows you to circumvent unanticipated obstacles (say a street closed for construction) without having to buy a new map, in which the obstacle is marked. Likewise, it enables the city planner to assess what effect a local change would have on the traffic pattern in the city prior to implementing that change. To appreciate this feature, imagine that, instead of a map, your GPS gives you a left-right-forward instructions at every corner, so that you arrive at your destination optimally. Theoretically, this GPS system should be as good as a map. Yet most drivers prefer having both, GPS and a road map. Why? Suppose you hit a street closed for construction. The GPS provides you almost no help to get out of the predicament. The map, on the other hand guides you wisely toward finding an alternate route around the blocked street. Note that this advantage of maps to handle unanticipated changes only works when the changes are local, that is, road construction in one street leaves all other streets in tact. The map is useless if the construction transforms a large number of streets all over the city. The GPS system can be improved, of course, to emulate this capability of a map, by storing a right-left-forward instruction for each and every possible street closure event. But this would necessitate a substantial increase in storage space. We should use this metaphor when we seek ways of testing whether a system has a model of the world or not.