Projects

The projects under the Human-Centered AI Transformations initiative aim to advance ethical and responsible AI technologies across diverse domains, emphasizing human collaboration with artificial intelligence, and prioritizing human values and societal well-being. These projects adopt a cross-disciplinary approach, fostering inclusion, transparency, and ethical practices in educational, creative, and professional contexts. By actively engaging individuals in their interactions with AI, the initiative seeks to empower people as co-creators rather than passive recipients of AI technology.

Human-Centered AI Transformations Consortium (Application Pending)

The European Human-Centred AI Transformations Consortium (EU-HCAI) is a collaborative project that advances human-centered AI in education and research across Europe. This initiative brings together experts from the humanities, social sciences, education, law, and computer science to explore the opportunities and challenges posed by AI.

Key areas of research include: Enhancing transparency and explainability of AI systems; Optimizing ethical AI integration; promoting AI's role in fostering inclusion, diversity, and civic values.

The consortium will undertake case studies, technical research, and ecosystem mapping to create AI systems that support education and knowledge development while maintaining human rights, social equity, and the public good. Collaborative efforts across partner institutions aim to ensure responsible AI deployment informed by ethical principles, privacy, and EU citizenship rights. The project also emphasizes the use of AI to improve learning environments and streamline research processes through cross-sectoral and cross-national partnerships.

CGScholar AI Helper (Common Ground, funded by the US Department of Education)

The CGScholar AI Helper project aims to develop an innovative Generative AI writing and learning assistant within the CGScholar suite of educational tools. Designed for learners and educators from upper primary/elementary to higher education, the AI Helper will provide real-time feedback for students in writing tasks, across a wide range of subject areas. It supports multimodal text creation, enabling the integration of images, audio, and video. Using prompt engineering and fine-tuning based on domain-specific content loaded into a knowledge base, the tool aims to enhance both formative and summative feedback quality. This project focuses on improving student writing skills and content knowledge expressed in writing while also addressing challenges like educator workload, inclusion, and the ethical use of AI in learning environments.