Empowering Puerto Rico Through AI Innovation
Join us to advance ethical AI for a better future.
About Puerto Rico AI Institute & CONSORTIUM
Our Vision
To establish Puerto Rico as a global leader in ethical AI adoption, fostering innovation, economic growth, and societal well-being through responsible and collaborative AI integration across private enterprise, academia, and government.
Our Mission
At the Puerto Rico AI Institute & Consortium, we are dedicated to transforming Puerto Rico into a global hub for artificial intelligence. Our mission is to accelerate the responsible adoption of AI across various sectors, ensuring ethical considerations are at the forefront of innovation.
The Puerto Rico AI Institute Consortium is committed to:
- Accelerating AI Adoption: Promote the strategic and responsible use of AI as a tool to enhance efficiency and effectiveness in businesses, educational institutions, and public services.
- Ensuring Ethical Guardrails: Develop and implement frameworks to prevent unethical or immoral AI applications, prioritizing transparency, fairness, and accountability.
- Fostering Collaboration: Unite private enterprises, academic institutions, and government agencies to create a robust AI ecosystem that drives innovation and addresses local challenges.
- Educating and Empowering: Provide training, resources, and research opportunities to equip Puerto Ricans with the skills and knowledge needed to thrive in an AI-driven world.
- Preventing Uncontrolled Systems: Advocate for supervised, human-centered AI systems to ensure technology serves as a tool for progress, not an autonomous force without oversight.
About Puerto Rico AI Institute & Consortium
Welcome to the Puerto Rico AI Institute & Consortium
ransforming Puerto Rico into a Global AI Hub with Ethics and Innovation at the Core
The Puerto Rico AI Institute Consortium is a collaborative alliance dedicated to accelerating the responsible adoption of artificial intelligence (AI) across private enterprise, academia, and government. Our mission is to harness AI as a transformative tool to drive socioeconomic progress, enhance efficiency, and ensure ethical guardrails guide its deployment. By fostering innovation, collaboration, and education, we aim to position Puerto Rico as a strategic hub for AI in the Caribbean and beyond.
Our Commitment:
We promote AI as a powerful tool to empower organizations and communities, not as an uncontrolled or unsupervised system. Through robust ethical frameworks, we ensure AI is implemented responsibly to maximize effectiveness while safeguarding trust and accountability.
Explore Our Work:
- Learn about our vision and mission to shape an AI-powered future.
- Discover our programs designed to educate, innovate, and regulate.
- Meet the organizations driving this transformative initiative.
- Join us in building a sustainable, ethical, and inclusive AI ecosystem.
Join the Consortium | Explore Our Programs | Contact Us
Our Approach
We believe AI is a transformative tool, not a replacement for human judgment. By embedding ethical principles and robust governance, we ensure AI systems are:
- Transparent: Clear in their operations and decision-making processes.
- Accountable: Subject to oversight and regular evaluation to prevent misuse.
- Inclusive: Designed to benefit all sectors of society, bridging digital divides.
- Efficient: Optimized to deliver measurable results in productivity and innovation.
Programs
The Puerto Rico AI Institute & Consortium offers a range of programs to drive AI adoption with ethical guardrails, focusing on private enterprise, academia, and government. Each program is designed to maximize efficiency, foster collaboration, and ensure responsible use of AI as a tool.
1. AI Education and Workforce Development
Objective: Equip Puerto Rico’s workforce with the skills to leverage AI responsibly.
- AI Skills Academy: Offers workshops, certifications, and bootcamps for professionals, students, and entrepreneurs. Topics include AI fundamentals, machine learning, and ethical AI deployment.
- K-12 AI Integration: Partners with Multi-Sector Alliances such as Echar Pa'Lante for schools to introduce AI concepts in education, fostering early digital literacy.
- University Partnerships: Collaborates with institutions like Atlantic University (already committed), and explore opportinities with the University of Puerto Rico, INTERAMERICANA, USC, SUAGM and Polytechnic University to integrate AI into curricula and research programs.
- Executive Education Series: Tailored programs for business leaders to understand AI’s strategic applications, in partnership with organizations such as Jobs for the Future.
2. AI for Private Enterprise
Objective: Accelerate AI adoption in businesses to drive innovation and competitiveness.
- Masters of AI Strategy: A program to train PR businesses in AI integration and automation, focusing on practical applications in marketing, operations, and customer service.
- AI Innovation Hub: A collaborative space for startups and established companies to develop AI solutions, with access to funding, mentorship, and technical expertise. Explore collaborations with the COLMENA66 ecosystem and others in our US mainland networks.
- Sector-Specific AI Solutions: Customized AI tools for industries like healthcare, manufacturing, and tourism to optimize processes and enhance customer experiences.
- Ethical AI Consulting: Guidance on implementing AI with transparency and compliance to avoid unethical outcomes.
3. AI in Government
Objective: Enhance public services through responsible AI integration.
- Government AI Officer Program: Supports the creation of an AI Officer role within the Puerto Rico Innovation and Technology Service (PRITS) to oversee AI policy and compliance. Propose efficiency programs.
- Public Sector AI Monitoring: Develops AI-based applications for real-time monitoring of public processes, such as auctions, to ensure transparency and accountability.
- Legislative Support: Assists in drafting and implementing AI-related policies, when allowed to state & territories, to regulate AI use in government.
- Cybersecurity Training: Implements programs to address AI-related cybersecurity risks, ensuring safe handling of critical data.
4. AI Research and Innovation
Objective: Position Puerto Rico as a hub for AI research and development.
- ExpandAI Partnership: Collaborates with universities, PRSTT & PRUSACC's US mainland institutions network to scale AI research programs.
- First International Congress on AI: An annual event to bring together global AI experts, academia, and industry leaders to discuss innovations and ethical challenges.
- AI Research Grants: Secure & provide funding for academic and private sector research in AI applications for healthcare, education, and cybersecurity.
- AI Ethics Lab: A dedicated center to study and develop ethical frameworks for AI, ensuring algorithms are transparent and fair.
5. Community and Public Policy Engagement
Objective: Foster an inclusive AI ecosystem through public policy and community outreach.
- AI Coalition Committees: Focuses on public policy, cybersecurity, health, education, and human resources to propose solutions and educate stakeholders.
- Public Awareness Campaigns: Educates communities on AI’s benefits and risks, addressing concerns about digital divides and ethical implications.
- Policy Advocacy: Works with legislators to advance AI-related bills, ensuring ethical guardrails and transparency in AI use.
- Digital Divide Initiatives: Explore partnership with organizations like the Internet Society to improve connectivity in rural areas, ensuring equitable AI access.
Ethical AI Commitment
At the Puerto Rico AI Institute Consortium, we are dedicated to ensuring AI is a tool for progress, not an uncontrolled or unsupervised system. Our Ethical AI Framework includes:
- Transparency: Mandating clear disclosure of AI use in all applications, such as in electoral ads or public services.
- Accountability: Requiring biennial reviews of AI systems in government to ensure compliance with ethical standards.
- Fairness: Preventing discrimination through rigorous algorithm auditing and inclusive design practices.
- Privacy and Security: Implementing cybersecurity training and data protection measures to safeguard user information.
- Human Oversight: Ensuring AI systems remain under human supervision to prevent unintended consequences or autonomous misuse.
Our commitment to ethical guardrails aligns with proposed legislation, such as Senate Bill 68 and House Bill 347, which aim to regulate AI use in government with transparency and accountability. We also address concerns about immoral AI applications by fostering public trust through education and open dialogue.
Impact and Opportunities
Why Puerto Rico?
Puerto Rico is uniquely positioned to become a global AI hub due to:
- Strategic Location: A bridge between the U.S., Latin America, and the Caribbean.
- Talent Pool: Home to skilled professionals and leading academic institutions.
- Growing Adoption: 84% of local businesses and 94% of multinational corporations in Puerto Rico use AI, surpassing global averages.
- Legislative Momentum: Ready to develop forward-looking AI bills and policies to foster innovation and regulation.
Key Impacts
- Economic Growth: AI adoption drives job creation, attracts investment, and enhances industries like healthcare, tourism, and manufacturing.
- Social Good: AI improves public services, education, and healthcare access, addressing societal challenges.
- Global Leadership: Positions Puerto Rico as a model for ethical AI adoption in the Caribbean and beyond.
Opportunities for Involvement
- Businesses: Partner with the consortium to access AI training, funding, and innovation hubs.
- Academia: Collaborate on research, curriculum development, and student training.
- Government: Work with us to implement AI policies and enhance public services.
- Individuals: Join our workshops, events, and advocacy efforts to shape Puerto Rico’s AI future.
Steps and Safety Guidelines to Accelerate Effective Adoption
Of AI Tools in Private Industry, Academia & Government, Using European Models as Examples:
- Establish a Clear Regulatory Framework
- Implement Risk-Based AI Classification and Compliance
- Promote Transparency and Accountability
- Foster Innovation and Support for AI Startups
- Ensure Human Oversight and Ethical Use
- Develop AI Governance and Multi-Stakeholder Cooperation
- Build a Culture of Safety, Security, and Privacy
- Provide Education, Training, and Capacity Building
- Facilitate Stakeholder Engagement and Communication
- Monitor, Audit, and Enforce Compliance
Expanded Descriptions:
- Establish a Clear Regulatory Framework
The foundation of effective AI adoption is a well-defined, comprehensive legal framework like the EU AI Act. This framework sets harmonized rules that ensure AI is safe, respects fundamental rights, and fosters innovation. It defines the scope, requirements, and boundaries for AI development and deployment. Governments, academia, and industry can rely on this clarity to align their strategies with legal obligations. - Implement Risk-Based AI Classification and Compliance
AI systems should be categorized by the level of risk they pose: minimal, limited, high, or unacceptable risk, as established by the EU's risk-based approach. High-risk systems (impacting safety, legal rights, critical infrastructure) undergo stringent assessments and continuous monitoring. Systems deemed unacceptable (e.g., social scoring, manipulative AI) are banned. This classification ensures resources focus on managing risks where harm is most probable. - Promote Transparency and Accountability
Organizations must ensure AI decisions and outcomes are explainable and traceable by humans. Transparency requirements include documenting AI decision processes and informing users when they interact with AI. Accountability frameworks involve assigning responsibility for AI impacts and providing channels for complaints and redress. - Foster Innovation and Support for AI Startups
Regulations must balance safety with the need to encourage AI innovation. The European model includes measures to support startups and innovators, for example, through AI innovation packages and AI Factories that provide resources and cooperative environments. Encouraging voluntary early compliance via initiatives like the AI Pact helps prepare industry players for upcoming regulatory requirements. - Ensure Human Oversight and Ethical Use
AI systems should complement human decision-making rather than replace it. Safeguards include ensuring AI oversight by humans to prevent harmful automation effects and bias. Ethical principles emphasize non-discrimination, respect for privacy, and environmental sustainability. - Develop AI Governance and Multi-Stakeholder Cooperation
Establish governance bodies such as the European AI Office and national AI authorities to coordinate activities, provide expertise, and enforce compliance. Collaboration must involve governments, industry, academia, NGOs, and consumer representatives to ensure diverse perspectives guide AI policies and standards. - Build a Culture of Safety, Security, and Privacy
Organizations should adopt overarching safety and security frameworks to manage AI risks systematically. This includes cybersecurity measures to protect AI systems from attacks and data protection protocols to safeguard personal information. Data governance requirements ensure quality, integrity, and fairness of training and input data. - Provide Education, Training, and Capacity Building
Effective AI adoption requires training professionals on AI risks, ethics, and compliance with legal frameworks. Academia plays a critical role in teaching AI literacy and ethical standards, while governments and industry should offer continuous professional development and certifications. - Facilitate Stakeholder Engagement and Communication
Continuous dialogue and transparency build public trust in AI. Hosting forums like the European AI Alliance Assembly enables sharing good practices and aligning expectations. Clear communication about AI benefits, risks, and regulatory safeguards helps foster informed acceptance and responsible use. - Monitor, Audit, and Enforce Compliance
Continuous monitoring mechanisms should verify that AI systems meet safety and ethical standards throughout their lifecycle. National AI authorities and sectoral regulators conduct audits and enforce penalties for non-compliance. Reporting obligations and complaint mechanisms empower users and regulators alike.
These steps, modeled on the European AI approach, create a balanced ecosystem that accelerates AI adoption while safeguarding fundamental rights, safety, and societal values across private industry, academia, and government sectors.
Curso Intro IA Para Negocios y Productividad Personal
Welcome to Puerto Rico AI Institute & Consortium!
We are a nonprofit organization dedicated to improving the lives of people in need. Our mission is to provide assistance to those who are less fortunate and to create a better world for all. Through our programs and initiatives, we strive to make a positive impact on the world and to help those who need it the most.
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About Puerto Rico AI Institute & Consortium- ADVISORS
Hon. Miguel Cardona, Former US Secretary of Education
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
PR-USA Chamber of Commerce Advisor
Miguel A. Cardona was sworn in as the 12th U.S. Secretary of Education on March 2, 2021.
Sec. Cardona is one of three children, whose grandparents moved from Puerto Rico in the 1960s for better opportunities in the mainland United States. That experience, and his bicultural upbringing, have helped shape Se
PR-USA Chamber of Commerce Advisor
Miguel A. Cardona was sworn in as the 12th U.S. Secretary of Education on March 2, 2021.
Sec. Cardona is one of three children, whose grandparents moved from Puerto Rico in the 1960s for better opportunities in the mainland United States. That experience, and his bicultural upbringing, have helped shape Secretary Cardona's passion to serve all students and improve their opportunities for success. Secretary Cardona's focus throughout his career on raising the bar for equity and excellence in education for all learners guides his leadership of the U.S. Department of Education in service of the nation's 65 million students, ranging from prekindergarten to adult learners, and their families.
He was recognized and received the 2024 BORICUA LEGACY AWARD in recognition of his outstanding contributions to education and his impact on the Puerto Rican community. This distinguished honor celebrates individuals and organizations that have demonstrated remarkable dedication and leadership, serving as exemplary models of Puerto Rican pride and achievement both in the United States and Puerto Rico. He will address the forum on the future of education and best practices to be considered. The people of Puerto Rico are invited
to join us by making reservations to attend the conference.
His address to open the PRUSACC's Puerto Rican Organizations Annual Conference took place on Monday, November 18, 2024 at the INTERAMERICAN University.
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
Head and Global Director - Intel Digital Readiness I Principal Engineer I Education & Workforce Development Industry Leader | Driving AI Skills Readiness Worldwide With Partnerships I Government Affairs | Inclusive AI
Anshul Sonak is the Principal Engineer, Global Director, and Head of Digital Readiness Programs at Intel Corporation, base
Head and Global Director - Intel Digital Readiness I Principal Engineer I Education & Workforce Development Industry Leader | Driving AI Skills Readiness Worldwide With Partnerships I Government Affairs | Inclusive AI
Anshul Sonak is the Principal Engineer, Global Director, and Head of Digital Readiness Programs at Intel Corporation, based at Santa Clara HQ, California, USA. He oversees the Intel® Digital Readiness Program for AI tech skilling, workforce development, the future of work, and policy initiatives aimed at bringing AI skills everywhere. Since 2017, he has been championing AI education and workforce development models for citizens, students, current and future workforce, and leaders through public-private partnerships with government and academia. He leads Intel’s digital inclusion work to make technology more inclusive and expand digital readiness. He is a recognized global business and thought leader in the education technology and workforce-skills industry ecosystem. He represents Intel in WEF Education Alliance 4.0, JFF Corporate Innovation Council, and the World Bank’s Solution for Youth Employment. In May 2023, he was recognized as “The top 10 most inspiring education leaders 2023” by The Education Insights Magazine, featuring on the cover page. His work is covered in a Harvard Business case study for transforming AI education through Intel AI for Youth. He has written on platforms like Forbes and UNDP, and he speaks regularly to media (e.g., Houston Business Journal) and in multilateral forums like World Bank, the Commonwealth. He is a technology policy advisor for multiple governments, civil society, and academic bodies. His recent policy-shaping work includes JFF’s AI-Ready Workforce report and The AI-Enabled ICT Workforce Consortium report. He worked with UNESCO to publish K12 AI curricula mapping for countries wanting to introduce AI in schools. He is UNDP Asia’s first private-sector regional Youth Co-Lab champion, promoting youth tech-entrepreneurship and a global judge for MIT SOLVE, a world-leading social entrepreneurship challenge to solve pressing problems using technology. He has authored a chapter on “Mastering the power of creative thinking” in a new book by Oxford Professors titled “Mastering the Power of You”. In his 30-year-long career, he has played leadership roles in the Education business, Corporate and Government Affairs, Technology Policy, Sustainability, Corporate Citizenship, CSR, and ESG. He has led both for-profit and nonprofit education initiatives. He is an alum of the Oxford Advanced Management & Leadership Program.
Peter Glynn PhD
Anshul Sonak Head and Global Director - Intel Digital Readiness, Principal Engineer
Peter Glynn PhD
Peter W. Glynn is the Thomas Ford Professor in the Department of Management Science and Engineering (MS&E) at Stanford University, and also holds a courtesy appointment in the Department of Electrical Engineering.
He received his Ph.D in Operations Research from Stanford University in 1982. He then joined the faculty of the University of
Peter W. Glynn is the Thomas Ford Professor in the Department of Management Science and Engineering (MS&E) at Stanford University, and also holds a courtesy appointment in the Department of Electrical Engineering.
He received his Ph.D in Operations Research from Stanford University in 1982. He then joined the faculty of the University of Wisconsin at Madison, where he held a joint appointment between the Industrial Engineering Department and Mathematics Research Center, and courtesy appointments in Computer Science and Mathematics. In 1987, he returned to Stanford, where he joined the Department of Operations Research. From 1999 to 2005, he served as Deputy Chair of the Department of Management Science and Engineering, and was Director of Stanford's Institute for Computational and Mathematical Engineering from 2006 until 2010. He served as Chair of MS&E from 2011 through 2015. He is a Fellow of INFORMS and a Fellow of the Institute of Mathematical Statistics, has been co-winner of Best Publication Awards from the INFORMS Simulation Society in 1993 and 2008, was a co-winner of the Best (Biannual) Publication Award from the INFORMS Applied Probability Society in 2009, and was the co-winner of the John von Neumann Theory Prize from INFORMS in 2010. In 2012, he was elected to the National Academy of Engineering.
His research centers on computational algorithms, mathematical approximations, statistical methodology, and optimization methods for the analysis of systems in which uncertainty is present. He has developed algorithms that are widely used across the field of Monte Carlo simulation. Applications include financial risk management, service systems engineering, logistics, and retail operations.
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We believe in the power of community and the importance of working together to achieve our goals. At Puerto Rico AI Institute & Consortium, we empower individuals and communities to create lasting change. Explore our website to learn more about our mission and how you can get involved.
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