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1) Vision — AI for Good, Human at the Center
AI-MINDS (PI: Máirtín Cunneen) explores how responsible AI can support skill development and learning to be more accessible and engaging.
It re-imagines debate, curiosity, and critical thinking within safe, ethical and immersive AI ecosystems governed by transparency and trust.
Thinker-avatars engage learners in plural, evidence-based dialogue that fuses knowledge, ethics, and creativity.
Every system design choice aligns to EU AI Act, UNESCO, and OECD frameworks for trustworthy, human-centric AI.
2) Governance by Design — Embedding Ethics in Every Algorithm
AI-MINDS treats AI governance as pedagogy itself: every learner interaction models explainability, fairness, and accountability.
Provenance tracking, uncertainty calibration, and bias auditing are built into the learning loop—not bolted on.
AI agents display source transparency and refusal logic, showing students how responsible AI reasons and self-limits.
Educators act as governance partners, co-creating value-sensitive frameworks and applying Responsible Research & Innovation (RRI) principles.
3) Impact — Measuring Good, Not Just Performance
AI-MINDS defines success through ethical impact metrics, not only cognitive gains: trust, inclusion, and epistemic diversity.
Its evaluation framework quantifies reductions in bias and hallucination, and increases in learner agency and transparency.
All data governance processes are openly auditable, setting new standards for educational AI compliance and oversight.
The project’s open toolkits, governance templates, and policy inputs advance AI for Good as a measurable, replicable practice for education and society.
Bridging Past and Future Through AI
AI-MINDS invites us to explore what learning and dialogue could become when powered by the most advanced forms of AI and generative AI. By uniting sophisticated large language models, embodiment, and immersive technology, the project transforms interaction with knowledge into a living experience. Within these virtual worlds, historical figures can be brought to life as conversational and learning companions. From philosphers, political leaders to scientists the voices and ideas are not merely studied but are engaged with and encountered in an intuitive real world-like experience. Such learning environments could enable users to engage better in reflective, emotionally rich conversations that bridge complex ideas, theories with more personal thought and culture. AI-MINDS critically assesses the feasibility of this potential opportuity in human–AI collaboration. We examine the technology, experience, ethics and risks where AI offers the potential to transform education, creativity, and learning.
Assessing AI and XR innovation for Education and Learning
Learning and Cultural Participation
Engages the public in new forms of cultural participation where philosophy, history, and imagination meet
Ethical Assessing AI for Education
Provides a testbed for explainable, ethical, and trustworthy AI in social-facing contexts
Future of Dialogue
Explores immersive human–AI interaction, shaping standards for multimodal systems
New Learning Pathways
Offers innovative approaches for education, cultural heritage, and lifelong learning
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