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

Social Challenges Analyse social challenges to intercultural dialogue, social inclusion and democratic cohesion Good Practices Discover experiences that generate social impact Educational Space Access teaching guides, activities and materials for the classroom Documentary Photography Explore the social challenges in a visual, reflective and educational way

LEVEL 1. Ethical AI: Educate and Innovate - Shaping the University Future with Responsible Artificial Intelligence

BRIDGE Main Challenge: A.7. Digital ecosystem, disinformation and the need for media literacy and critical thinking

What problem does it address?

AI tools are rapidly integrated into universities across Costa Rica, Spain, Peru and Italy, yet students, teaching staff and administrators lack the critical AI literacy needed to evaluate, question or contest AI-generated content and AI-mediated decisions in teaching, assessment, advising and administration.

What does it propose?

EthicalAI produced a 63-page Regulatory Framework establishing AI literacy as an institutional governance value: a four-component literacy model (awareness, capability, knowledge of functioning, critical thinking), critical engagement protocols, contestability mechanisms for AI-mediated decisions, and mandatory AI Ethics advisory committees.

Why is it an inspiring practice?
  • Defines AI literacy in four named, separately trainable components rather than one vague competency.
  • Gives students and staff a concrete mechanism to contest AI-generated academic decisions.
  • Mandates a permanent AI Ethics advisory committee, not just a one-off training session.
  • Publishes a 27-concept glossary anchoring AI terms to authoritative international sources.
  • Models the critical, supervised AI use it promotes by openly disclosing how AI tools were used in its own development.
Resources you'll find
  • Deliverable D2.1 – EthicalAI Regulatory Framework
  • 27-concept AI Ethics glossary ("Referenced Definitions")
  • Project website: https://www.ethicalaiucr.info/index.php
Featured results
63
Regulatory Framework
27
AI ethics concepts defined in the referenced glossary
4
components of the AI literacy model (awareness, capability, knowledge, critical thinking)
7
UCR/consortium team members who contributed to D2.1, including one student researcher
15
International normative frameworks referenced (UNESCO, EU AI Act, OECD, etc.)
What can visitors learn?
How to break AI literacy into four teachable components: awareness, capability, knowledge, critical thinking.
How to design contestability mechanisms that let users challenge AI-mediated academic decisions.
How to mandate AI Ethics governance structures rather than relying on informal, ad hoc oversight.
How to build equity provisions directly into an AI literacy mandate, rather than adding them later.
How to document and disclose the use of AI tools in one's own research process transparently.

LEVEL 2. EXPLORE BEST PRACTICE

Introduction

EthicalAI is a Capacity Building project . Its first deliverable, a 63-page Regulatory Framework, establishes AI literacy as an institutional governance value through a four-component literacy model, critical engagement protocols and mandatory AI Ethics advisory committees across four higher education systems.

  • Coordinating organisation: University of Costa Rica (UCR)
  • Participating countries: Costa Rica (CR), Italy (IT), Peru (PE), Spain (ES)
  • Duration: 2025-ongoing
  • BRIDGE Main Challenge: A.7. Digital ecosystem, disinformation and the need for media literacy and critical thinking
Sustainable Development Goals (SDGs)
  • SDG 4: Quality Education
  • SDG 10: Reduced Inequalities
  • SDG 16: Peace, Justice and Strong Institutions
  • SDG 17: Partnerships for the Goals
Secondary Challenges
  • A.3. Educational gaps throughout educational trajectories, including higher education

The Challenge

What social issue does it address?

Universities across four countries are deploying AI in teaching, assessment and administration faster than they are building critical AI literacy, risking a two-tier epistemic landscape in which digitally advantaged populations leverage AI while under-resourced students and staff are subject to AI-mediated decisions they lack the literacy to contest.

Why is it important?

Without critical AI literacy, students and educators cannot detect bias, contest AI-generated decisions, or resist algorithmically amplified disinformation, weakening both individual epistemic autonomy and the credibility of higher education itself.

How does it contribute to the BRIDGE Challenge?

EthicalAI treats AI literacy as a structural governance requirement rather than optional training, mandating institutional AI Ethics committees and critical engagement protocols across four national higher education systems, directly targeting the media-and-AI-literacy deficit this Challenge names.

How does it work?

The framework defines four literacy components (awareness, capability, knowledge, critical thinking) with tiered training for students, teaching staff and administrators, backed by protocols letting users contest AI-generated academic decisions and mandatory AI Ethics advisory committees.

What might inspire you?
Ideas for adaptation
  1. Define AI literacy in four named parts, not one vague competency.
  2. Give students and staff a way to contest AI-generated decisions.
  3. Mandate an AI Ethics committee, not just a one-off training session.
  4. Publish a 27-concept glossary to anchor AI terms to real sources.
  5. Model critical AI use by disclosing exactly how AI tools were used.
  6. Require faculty AI literacy alongside student AI literacy, not instead
  7. Map AI literacy gaps against four national regulatory frameworks.
  8. Build equity provisions directly into the training mandate itself.
  9. Treat AI oversight as a governance duty, not a technical add-on.
  10. Include a student researcher as a co-author, not just a participant.
Resources created

EthicalAI Regulatory Framework

Digital publication

Regulatory framework on critical AI literacy in universities, with a four-component model and mandatory ethics committees.

Teaching staff, Professionals, Policy Makers

https://www.ethicalaiucr.info/Regulatory_Framework.php

EthicalAI Workshop — Rome

Teaching guide

Table of Contents of the first transnational workshop at Sapienza University of Rome on regulatory frameworks and ethical AI use in higher education. [149]

ethicalaiucr.info/files/courses/01/01 Table of Contents - WP2.pdf

EthicalAI project website

Interactive digital resource

Official website of the EthicalAI project: information on the Costa Rica-Spain-Peru-Italy consortium, the Regulatory Framework, workshops and forthcoming deliverables.

Researchers, Policy Makers, General Public

https://www.pixel-online.net/project.php?id=201