Center for Responsible Artificial Intelligence (CIAR)
ABOUT
The Center for Responsible Artificial Intelligence (CIAR) promotes the ethical development and use of artificial intelligence. We approach AI not only as a technological tool but also as a social challenge that demands a holistic approach encompassing specialized education, scientific research, algorithmic governance, and technology intelligence. CIAR aims to lead the Latin American ecosystem toward responsible AI by anticipating emerging risks and opportunities while advancing transparent, equitable, and sustainable innovation that fosters trust and contributes to societal well-being.
To advance the responsible development and use of artificial intelligence through specialized education, regulatory frameworks, interdisciplinary research, and technology intelligence, ensuring that AI applications at Universidad de Lima and across society adhere to the highest standards of safety, ethics, transparency, and human-centered design.
To be recognized as the leading center for responsible artificial intelligence in Peru and Latin America by shaping knowledge, policies, and practices that promote trustworthy, equitable, inclusive, sustainable, and socially beneficial AI systems, while anticipating emerging technological opportunities and challenges through transparency and traceability.
To ensure safe, ethical, and human-centered AI through specialized education, algorithmic governance, interdisciplinary research, and technology intelligence that anticipates emerging risks and informs strategic decision-making.
STRATEGIC AREAS
EDUCATION AND TRAINING
Objective
Strengthen responsible AI knowledge and skills across academic and professional communities.
Key Activities
- Development of courses and diploma programs.
- Training opportunities for faculty, students, and external professionals.
AI ETHICS, POLICY, AND GOVERNANCE
Objective
Analyze public policies and regulatory frameworks related to responsible AI.
Key Activities
- Analysis of regulatory frameworks.
- Development of policy recommendations.
INTERDISCIPLINARY RESEARCH
Objective
Advance scientific and applied knowledge in responsible AI.
Key Activities
- Research projects on AI explainability and algorithmic fairness.
- Studies on privacy and data protection.
TECHNOLOGY INTELLIGENCE
Objective
Anticipate trends and support strategic decision-making related to AI and emerging technologies.
Key Activities
- Technology monitoring and foresight analysis.
- Preparation of trend reports.
- Development of early warning mechanisms to identify emerging risks and opportunities.
RESOURCES
These regulations establish a framework for the responsible use of artificial intelligence within the Ulima community. They promote ethical, safe, and transparent AI practices while fostering innovation and safeguarding academic integrity, data protection, intellectual property, and human oversight.
This guide provides students with guidance on the ethical, safe, and responsible use of artificial intelligence (AI) tools in their academic activities, encouraging their use to support learning.
These guidelines strengthen faculty members' professional judgment in determining when, how, and for what purposes to use artificial intelligence (AI) tools in their teaching.
Case studies are analytical, practice-oriented texts that describe real or plausible situations to examine problems, decisions, and outcomes, fostering critical thinking and experiential learning.
Universidad de Lima's institutional repository contains a collection of case studies. For more information, click on the title that interests you.
EVENTS
In the first edition of DebatIA Sessions, our students explored the ethical challenges of artificial intelligence alongside Carlos Calderón, using the trolley problem as applied to autonomous vehicles.
Through an interactive activity, participants took different positions, developed arguments, and debated the values and criteria involved in decision-making by autonomous systems.
The session aimed to strengthen critical thinking and promote a responsible approach to the development and use of AI.
In the first edition of DebatIA Sessions for faculty members, ethics professors from the School of Business and the School of Economics explored the ethical challenges of artificial intelligence alongside Franci Suni, using a case study on AI in recruitment and selection.
Through an interactive activity, participants examined different perspectives, developed arguments, and discussed the criteria and responsibilities involved in incorporating AI systems into decision-making processes. The session aimed to strengthen critical thinking and encourage a responsible approach to the use of artificial intelligence.
In another edition of DebatIA Sessions, our faculty members joined Percy Diez Quiñones to explore the ethical dilemmas that arise when artificial intelligence influences human decisions and relationships.
Using Character.AI as a case study, participants discussed emotional attachment to AI systems, responsibility for potential risks, and the roles that companies, users, and governments should play. The session aimed to strengthen critical thinking and encourage ethical reflection on the development and responsible use of these technologies.
In another edition of DebatIA Sessions, faculty members from our Communication Program joined Roby Arbe and Angel Agüero to explore the ethical dilemmas that arise when artificial intelligence influences decisions that can affect people's lives.
Using the case of Uber and autonomous vehicles, participants discussed corporate responsibility, human oversight, transparency, and the role of regulation as these technologies advance. With 15 participants, the session aimed to strengthen critical thinking and promote a responsible perspective on the relationship between technological innovation, human decision-making, and society.
In another edition of DebatIA Sessions, our students joined Natalie Gil, CTO and co-founder of Darshana, for a discussion on the ethical dilemmas involved in using artificial intelligence to make sensitive decisions.
Using a case study on AI in recruitment and selection, participants discussed the efficiency of process automation, algorithmic bias, and accountability for decisions that can affect people's opportunities. The session aimed to strengthen critical thinking and encourage reflection on the importance of human oversight in the responsible use of AI.
In another CIAR talk, participants explored the challenges and opportunities of explainable, multimodal, and affective artificial intelligence in developing trustworthy sociotechnical systems.
Led by Nelly Condori Fernández and Alejandro Catalá Bolós, professors at the Universidade de Santiago de Compostela and researchers at CITIUS, the session examined how these capabilities can help create AI systems that are more understandable, context-aware, and designed to inspire trust.
OUR TEAM
Franci Suni López
Director
fsuni@ulima.edu.pe
Galia Cochella
Education and Training Coordinator
gcochell@ulima.edu.pe
Henry Quintanilla
AI Ethics, Policy, and Governance Coordinator
hequinta@ulima.edu.pe
Ángel Agüero
Education and Training
aaguero@ulima.edu.pe
Monica Falcon
Communication
mfalcon@ulima.edu.pe
