Center for Responsible Artificial Intelligence (CIAR)

Title

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.

MISSION

VISION

OBJECTIVE

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

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1. EDUCATION AND TRAINING

2. AI ETHICS, POLICY, AND GOVERNANCE

3. INTERDISCIPLINARY RESEARCH

4. TECHNOLOGY INTELLIGENCE

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.

RESPONSIBLE AI RESOURCES

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1. REGULATIONS FOR THE RESPONSIBLE USE OF AI TOOLS

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.

Download the regulations

CASE STUDIES

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Case studies provide analytical and practical perspectives on real or hypothetical scenarios, examining key challenges, decisions, and outcomes to foster critical thinking and experiential learning.

The Ulima Repository hosts a collection of case studies. To learn more, click on a title below:

Adapted from “Hiring by Machine,” Princeton AI and Ethics.

Year: 2026

Read the full case study here.

Case study based on real events. Sources include The New York Times, CNN, and court records.

Years: 2024-2026

Read the full case study here.