Can online AI challenges support responsible AI?
Our new npj Natural Hazards study analyses a global landslide challenge with ~1,000 participants from 90+ countries—showing how bottom-up formats can help bridge AI innovation and governance.
#AI can help with grant research — but it’s not one-size-fits-all.
In the #TechSoupBlog, we talk with TechSoup’s Phil Ferrante-Roseberry about when AI makes sense in grantseeking, why business-grade tools matter, and how to use AI responsibly.
Read more: http://spr.ly/6049CfE9U
We’re thrilled to release our first newsletter! 🎁
Published every six months, it covers our project highlights: partner meetings, events, publications, and our efforts to make #AI truly human-centred.
Check it out here: https://aixpert-project.eu/subscribe/
...and don't forget to subscribe! it's free ;)
#HaDEA #hORizonEurope #ArtificialIntelligence #AI4Good #aiethics #DigitalEurope
✨ We’re launching our #MeetThePartners series!
And to start, we’re spotlighting the one who keeps everything running smoothly: our Project Coordinator, the Athena Research Center 🇬🇷
Read here: https://aixpert-project.eu/2025/11/20/meet-the-partners-athena-research-and-innovation-center/
Get a glimpse of the people coordinating AIXPERT and contributing to several of our work packages 👨💼
Stay tuned — more partners coming soon! 💫
#HaDEA #HorizonEurope #AI4Good #TrustworthyAI #DigitalEurope
Miguel Guerrero (@apolmig)
MiniMax AI, LMStudio, Roocode 등 오픈소스 도구를 활용해 로컬 환경에서 #minimax 모델을 빌드하며 직접 AI 개발 워크플로우를 실행해본 경험을 공유합니다. 오픈소스 세계를 통해 로컬에서 코드 기반 AI 프로젝트를 구현하는 혁신적 사례로, #ai4all·#ai4good 운동과 연계된 실전 활용법을 제시합니다.
✨ #Nonprofits are transforming how they work with #AI.
Microsoft 365 #Copilot helps teams save time, boost efficiency, and focus more on what matters most — their mission.
Learn how #NonprofitOrganizations are using AI to drive real impact, via the #TechSoupBlog: http://spr.ly/6186AhkAj
If you have a use case in your business where LLMs seem to offer a great benefit, chances are your use case has major issues.
Are the steps you are automating even necessary? Or does your current process produce poor-quality output? If you fix this instead of cementing your existing problems in code, you'll have a better business than before.