The project Bridge is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Servicio Espanol para la Internacionalizacion de la Educacion (SEPIE). Neither the European Union nor the National Agency SEPIE can be held responsible for them. -- Number: 2025-1-ES01-KA220-HED-000359236 --
The BRIDGE Digital Museum brings together good practices, educational proposals and images that inspire reflection and action
BRIDGE Main Challenge: A.7. Digital ecosystem, disinformation and the need for media literacy and critical thinking
AI-LITERATE addresses the growing impact of generative AI and AI-generated disinformation in higher education. Students and staff need stronger digital, media and critical literacy skills to identify misinformation, deepfakes and algorithmic bias and to understand the ethical and social implications of AI.
AI-LITERATE proposes a participatory, research-based training programme combining online and face-to-face learning. It develops AI literacy through real cases, collaborative workshops and open educational resources, helping students and staff use AI critically, ethically and responsibly.
AI-LITERATE is a transnational higher education initiative addressing generative AI, disinformation and critical digital literacy. Through research, blended training, real-world case analysis and co-creation, it develops the capacity of students, teachers and institutions to understand, critically assess and ethically use AI while supporting its responsible integration into education.
Generative AI is transforming how information and knowledge are produced and shared, while also increasing the risks of misinformation, deepfakes and algorithmic bias. Unequal levels of AI and digital literacy make students and staff more vulnerable to misleading content and unethical or uncritical uses of AI.
AI is increasingly embedded in higher education and everyday life. Developing the capacity to assess information critically and understand the risks, limitations and ethical implications of AI is therefore essential for education and informed digital citizenship.
AI-LITERATE strengthens media, digital and AI literacy by helping students and staff identify disinformation, critically analyse AI-generated content and understand algorithmic bias. It promotes critical thinking and responsible participation in the digital ecosystem
The practice combines research, blended learning and participatory methodologies. Surveys and interviews identify AI literacy needs, followed by case analysis, collaborative workshops, a MOOC, face-to-face training and student bootcamps. Feedback is used to continuously improve the resources and activities.
AI-LITERATE Framework
Digital publication
A common conceptual and pedagogical framework for developing AI literacy in higher education. It supports understanding of generative AI, disinformation, algorithmic bias and ethical issues and provides a basis for educational activities and institutional approaches across different European contexts.
Teaching staff, Students, Researchers, Professionals, Policy Makers
AI Literacy Toolkit
Interactive digital resource
An open-access and multilingual collection of practical resources supporting critical and responsible engagement with AI. The toolkit addresses key AI literacy competences and is designed to be adaptable to different institutions, disciplines and national contexts.
Teaching staff, Students
Multimedia Learning Modules
Interactive digital resource
Interactive learning modules addressing topics such as generative AI, deepfake identification, misinformation and algorithmic bias. The modules combine technical understanding with critical, ethical and reflective approaches.
Teaching staff, Students
AI-LITERATE MOOC
Online training
An approximately 20-hour online course providing structured training in AI literacy, generative AI and disinformation. It is complemented by face-to-face training activities and student bootcamps.
Teaching staff, Students
Handbook for Lecturers
Teaching guide
A practical handbook supporting lecturers in adapting teaching and assessment to the emergence of generative AI, including approaches to AI-inclusive and AI-resilient assessment and the critical and ethical integration of AI into teaching.
Teaching staff
Repository of AI-generated Disinformation Cases
Interactive digital resource
A multimedia repository of verified cases of AI-generated disinformation designed as a digital library for critical analysis. It enables users to explore real-world examples and develop their ability to identify and critically assess manipulated content.
Teaching staff, Students, Researchers
Institutional AI Policy Roadmap
Digital publication
A roadmap supporting higher education institutions in developing internal policies and guidelines for the ethical, responsible and pedagogically meaningful integration of AI.
Teaching staff, Professionals