Alfie is a Horizon Europe research and innovation project aiming to promote ethical and unbiased AI.
External link for ALFIE project
ALFIE project reposted this
Are you a woman innovating in Artificial Intelligence? Apply now for the UfM Women in AI Award and join a growing network of trailblazers driving inclusive innovation across borders. This award shines a spotlight on women whose AI work is advancing sustainability, inclusion and equality in the region. 🗓️ Applications are now open! 🔗 Apply today: https://lnkd.in/dkYp2B2W #WomenInAI #STEM AllWomen Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
☑️ ALFIE ETD Hub Privacy & Cookie Policy is Now Defined Transparency, trust, and data protection are at the core of the ALFIE Project. We're excited to announce that the Privacy and Cookie Policy for the ALFIE ETD Hub is now officially defined. This is a key step in ensuring that all users—researchers, developers, and stakeholders—can engage with the ETD Hub confidently, knowing their data is handled responsibly and in line with EU regulations. 👉 Learn more about the policy here: https://lnkd.in/deCWQsgE #ALFIEproject #DataPrivacy #GDPR #EthicalAI #OpenScience #DigitalTrust #ETDHub
Be A(I)ware of AI Hallucinations 😵💫 AI tools like ChatGPT are incredibly useful for generating ideas, summarising information, and supporting daily tasks. But it's important to remember, they don’t actually understand meaning. Instead, they generate responses by predicting word patterns based on large datasets. This can sometimes result in AI hallucinations: false or misleading information that sounds completely convincing. 📌 A recent article, https://lnkd.in/dquKmzn7, highlights the risks and challenges of relying on AI-generated content without proper verification. ✅ Always check important information with trusted sources. This recommendation was shared by Edge Hill University as part of the Be A(I)ware campaign. #AI #ArtificialIntelligence #AIEthics #AIsafety #ChatGPT #BeAIware #DigitalLiteracy
🚀 On April 2nd, the ALFIE project held its 2nd internal workshop, hosted by Bosch España! The focus: defining what designer users need to build ethical, purpose-driven AI tools using the ALFIE AutoML platform. From developers to experienced users, these insights are essential for shaping a human-centric, future-ready AI ecosystem. Using an interactive Miro board, project partners collaborated to prioritise requirements across three use cases — reinforcing ALFIE’s commitment to transparency, usability, and real-world impact. This workshop builds on the first, led by Universitat Autònoma de Barcelona, which explored the needs of ALFIE's end users — those who will interact directly with AI models. 🌍 With strong collaboration at its core, ALFIE is setting the stage for ethical innovation in European manufacturing. Learn more: http://bit.ly/44cVtls #ALFIEproject #AIethics #AutoML #FutureOfManufacturing #HumanCentricAI #Innovation #EUHorizon #DigitalTransformation
🚀 Join the Data Science and Artificial Intelligence Summer School on AI for Good in Escorial, Madrid (21-25 July 2025) We’re excited to announce the Data Science and Artificial Intelligence (DSAI) Challenge for #SocialWelfare, an initiative by the ALFIE project that aims to harness AI and data science to create solutions for social good. This challenge will take place as part of the prestigious Universidad Complutense de Madrid Summer Courses, offering a unique opportunity to engage with top experts in a world-class academic setting. It is designed specifically for #UnaEuropa doctoral and early-career researchers, providing them with a platform to apply their knowledge, develop innovative solutions, and expand their professional network. ✨ Why join? - A dynamic, inclusive learning environment guided by professors from Una Europa Universities, experts from this initiative’s sponsor Bosch, and partners of our project ALFIE. - A hands-on challenge to apply AI for real social impact. - A chance to collaborate with experts and peers in the field. - The perfect setting to learn, exchange ideas, and drive positive change. 📅 Don’t miss this opportunity! Learn more, register, and get involved 👉 https://lnkd.in/djYje8MS Ready to take on the challenge? Share this and tag anyone who might be interested! #AI #DataScience #SocialWelfare #DSAIChallenge #ALFIEProject #UCM #SummerCourses #UnaEuropa #Bosch
Be A(I)ware of… thinking critically about AI. AI isn’t just a buzzword—it’s becoming part of our daily lives, from the workplace to the classroom. Thinking critically about AI means asking questions like: - Who designed this system? - What data is it trained on? - Who might be left out? It’s about staying curious and ensuring AI is developed in ways that are fair, inclusive, and human-centred. AI is already contributing to social change: - Supporting climate action through smarter urban planning - Helping expose #bias in legal and hiring systems Want to learn more? 🔗 Visit AI for Good – a UN platform showing how AI is advancing the SDGs: https://aiforgood.itu.int/ 🎓 Apply to the DSAI Summer School 2025 hosted by BOSCH & Una Europa – a hands-on, international program where students co-create real-world AI solutions for social good:https://lnkd.in/dHpfsaui This recommendation is brought to you by Bosch, as part of the #ALFIE Be A(I)ware campaign. #BeAIWare #AIForGood #DSAIChallenge2025 #ALFIEProject #ResponsibleAI #EthicalInnovation #FutureOfWork #TechForGood
Be A(I)ware of the 4 AI Risk Levels in the EU AI Act! The EU AI Act classifies AI systems based on the level of risk they pose to people’s rights and safety: 🚫 Unacceptable Risk: Banned. AI systems that violate fundamental rights or endanger public safety. Examples: Government social scoring, real-time biometric surveillance in public spaces. ⚠️ High Risk: Strictly Regulated. AI used in sensitive sectors like health, education, employment, or law enforcement. Examples: AI for hiring, credit scoring, or medical diagnostics. 💬 Limited Risk: Transparency Required. AI that interacts with people and requires clear disclosure. Examples: Chatbots that must state they are not human. ✅ Minimal Risk: Freely Allowed. Low-risk AI systems used in everyday applications. Examples: Spam filters, product recommendations, AI in games. Want to check the risk level of your AI system? Try this free compliance checker: https://lnkd.in/duk_T42j Let’s build AI that’s fair, transparent, and risk-aware. A recommendation by TransMedia Catalonia, Universitat Autònoma de Barcelona (UAB) #BeAIware #EUAIAct #ResponsibleAI #EthicalAI #AIRegulation #TransMediaCatalonia #UAB
Be A(I)ware of the lack of transparency around the use of AI 🔍. The AI Act (#AIAct) introduces specific disclosure obligations to ensure that people are clearly informed when AI is being used and how it may affect them, helping to build #trust and #accountability. This applies to AI systems such as #chatbots, where users must be made aware they are communicating with a machine to make informed decisions. It also applies to #GenerativeAI: providers must ensure that AI-generated content is identifiable. In particular, #deepfakes and AI-generated text intended to inform the public must be clearly and visibly labelled. Developers should provide clear and accessible #disclaimers, through labels, intro messages, or visual indicators, to ensure users immediately understand when they are engaging with AI ✅. 📌 Learn more: https://lnkd.in/ehhaxR9 This recommendation is from Centre for Research & Technology Hellas (CERTH) as part of the Be A(I)ware campaign. #BeAIware #CERTH #AIAct #ArtificialIntelligence #AIEthics #Transparency #TrustInTech #ResponsibleAI #AIRegulation #DigitalEU #AIForGood #TechForPeople
Be A(I)ware of Discrimination in AI Decisions 🚫 This is a recommendation from the Be A(I)ware campaign by the University of Brighton. AI isn’t neutral. It can reflect and amplify #biases related to #culture, #gender, #ethnicity, and #age. When trained on biased data, AI can reinforce discrimination in recruitment, hiring, public services, and more. To ensure fair and inclusive outcomes, AI must be trained on diverse, representative data. For example, an AI hiring tool trained mostly on data from one gender or ethnicity may unfairly favour that group, overlooking qualified candidates from others. Business and government leaders—especially HR, equality, and diversity officers—must demand AI systems that are transparent, accountable, and fair. What can we do? 🛠️ - Train AI on inclusive, diverse data - Ensure transparency in AI decisions - Adopt ethical AI policies Interested in the topic? Explore these resources 📝 - Racism and AI: “Bias from the past leads to bias in the future” | OHCHR: https://lnkd.in/dSra3SsD - How AI reinforces gender bias—and what we can do about it | UN Women: https://lnkd.in/d9QAaWgq - Research shows AI is often biased. Here's how to make algorithms work for all of us | World Economic Forum: https://lnkd.in/dAe3j-em #BeAIware #FairAI #Equality #Diversity #AIethics #BiasInAI
ALFIE project reposted this
🤖 ⬛ A reminder from Kempelen Institute of Intelligent Technologies: Don't fall for the "Black Box" excuse! #AI shouldn’t be a mystery. Some companies claim their AI is too complex to explain—but that’s often just an excuse. Explainable AI (#XAI) makes decisions transparent, fair, and accountable. When AI affects your life, you deserve to know why. Let’s push for #transparency in tech! 🔍 #BeAIware #ExplainableAI #AITransparency
Be A(I)ware of the “Black Box” Excuse! ⬛ A message from Kempelen Institute of Intelligent Technologies for the Be A(I)ware campaign. What is the black box excuse? Some companies say their AI is too complicated to explain. That’s called the black box excuse. A black box is something you can’t see inside—you give it input, it gives you output, but you have no idea how it made that decision. Companies use this excuse to avoid explaining their AI’s actions. Sometimes AI is truly complex—but often, it can be explained. They just choose not to, especially when it’s inconvenient or uncomfortable. But there’s a better way: Explainable AI (#XAI). So, what is XAI? 📙 Explainable AI is AI that clearly shows how it made a decision—in a way that people can understand. It removes the mystery and gives you real answers. Researchers and developers are creating tools to make AI transparent, fair, and accountable—so people aren’t left guessing. Real-life example 🔍: You apply for a job, and AI rejects your application. - With black box AI: No explanation. Just rejected. - With Explainable AI: “You were not selected because your application lacks experience with project management tools.” When AI affects your life—your job, your loan, your healthcare—you deserve to know why. Let’s speak up for honest, fair, and transparent technology. #BeAIware #ExplainableAI #AITransparency #FairTech #PeopleFirstAI #ResponsibleAI