EU-funded projects address challenges of trustworthy Artificial Intelligence – INSIGHT EU MONITORING
EU-funded projects address challenges of trustworthy Artificial Intelligence – INSIGHT EU MONITORING
Publish Date: 2026-06-19 11:06:00
Source Domain: ieu-monitoring.com
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Advances in AI and Its Impact: Recent developments in artificial intelligence (AI) have led to the creation of agentic and multimodal systems, impacting sectors such as healthcare, industry, and environmental monitoring.
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Key Priorities: Trust and Accountability: The integration of AI into digital products raises issues of transparency, reliability, and accountability. Ensuring trustworthiness and alignment with societal values is crucial for policymakers, researchers, and the industry.
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European Approach to AI: The European approach underlines the importance of trust, advocating early consideration of risks and including accountability, transparency, and fairness in the design of AI systems.
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HaDEA’s Role at ICE2026: The European Horizon Europe Directorate (HaDEA) will present its activities at the International Conference on Engineering, Technology and Innovation (ICE2026), with a keynote presentation and workshops aiming at developing practical methods for trustworthy AI.
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Workshop on Trustworthy AI: Karina Marcus will chair a workshop on translating high-level principles of trustworthy AI into concrete methods, involving six HaDEA-funded projects.
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Described AI Projects:
- AIXPERT: Focus on developing explainable, transparent, and accountable AI platforms for areas like healthcare, recruitment, etc.
- EXTRA-BRAIN: Aims to create brain-like, resource-efficient neural networks for use in robotics, finance, and telecom.
- FAITH: Provides a holistic AI trustworthiness assessment framework across seven critical domains.
- HumAIne: Develops a paradigm for trusted human-AI collaboration using active learning and neuro-symbolic AI.
- TRUMAN: Seeks to improve AI resilience against security, privacy, and fairness threats and increase user trust.
- TURING: Focuses on developing a physics-aware generative AI system for modeling complex physical phenomena.
