Certified Responsible AI Leader Program
The Certified Responsible AI Leader Program is an immersive, high-energy program designed for AI professionals who are eager to lead in the rapidly evolving AI landscape. This program, developed by AI 2030, combines cutting-edge insights, hands-on activities, and interactive discussions with industry leaders to equip participants with the strategies and tools needed to drive responsible AI innovation across industries.
Specifically tailored for senior AI leaders, the program offers the knowledge and practical tools required to address critical AI challenges such as privacy, transparency, fairness, and accountability. Participants will learn how to operationalize responsible AI practices while fostering innovation and ensuring ethical outcomes in their organizations.
Next Delivery Date: February 6, 2025- March 28, 2025
Program Highlights:
- Interactive Sessions: Engage in dynamic discussions, live simulations, and collaborative problem-solving exercises.
- Real-World Applications:Â Learn from real-world case studies and cutting-edge AI technologies.
- Expert-Led Workshops:Â Gain practical knowledge from industry leaders and AI regulators.
- Collaborative Networking:Â Build connections with top AI professionals, innovators, and thought leaders.
- Actionable Takeaways:Â Leave with a certification and actionable strategies to implement responsible AI in your organization.
Program Curriculum:
Module 1: Enterprise AI Strategy and Responsible AI Framework (Week 1-3)
Description:
This module focuses on the opportunities presented by AI, particularly Generative AI, along with global and industry trends and practical use cases. Participants will explore how to align AI strategies with business objectives while ensuring that responsible AI practices are deeply embedded into their organization’s broader strategy. The module covers key foundational principles of responsible AI, including transparency, accountability, fairness, privacy-preservation, safety, security, and sustainability.
Module 2: AI Risk Management (Week 4-6)
Description:
This module delves into the various risks associated with AI, from ethical and operational challenges to legal and regulatory concerns. Rather than just providing a generic framework, it dives deep into different AI risk management frameworks. Participants will explore global AI regulatory evolution, including trends in compliance and governance. The module will also share best practices for managing these risks in a rapidly evolving AI landscape, helping participants implement effective risk management strategies.
Module 3: Operationalizing Responsible AI (Week 7-9)
Description:
This module prepares senior leaders to operationalize responsible AI across their organizations, emphasizing responsible AI design, procurement, and implementation. Participants will learn how to embed responsible AI principles into AI systems, acquire AI solutions that meet ethical and regulatory standards, and deploy scalable, secure, and sustainable AI initiatives.
Module 4: Responsible AI Leaders Talk (Week 10-12)
Description:
In this module, participants will engage with thought leaders and industry experts to explore the challenges and opportunities of leading responsible AI initiatives. Through interactive discussions and real-world examples, they will gain valuable insights into effective AI leadership. Participants will also complete a capstone project, applying responsible AI principles to real-world challenges, ensuring practical learning and readiness to lead responsible AI efforts within their organizations.
Program Structure:
- Duration: 12 WeeksÂ
- Delivery: Weekly virtual sessions with one-day in-person workshops in Silicon Valley and New York
- Certification: Participants will receive the AI 2030 Certified Responsible AI Leader credential upon completion.Â
Featured Guest Lecturers (2024 -2025 Cohort)
  Program Benefits:
- Cutting-Edge Knowledge: Stay ahead with insights into the latest trends, regulations, and practices in responsible AI.
- Practical Skills: Gain hands-on experience with tools and frameworks
that you can apply directly to your projects. - Professional Recognition: Earn a certification that highlights your expertise in responsible AI.
- Networking Opportunities: Build relationships with industry leaders, experts, and fellow AI professionals.
AI Governance Forum
The AI 2030 Summit-AI Governance Forum is a one-day event focused on addressing the critical challenges and opportunities in AI governance. Tailored for AI leaders, policymakers, and industry professionals, the forum is designed to foster meaningful discussions and offer actionable insights into the responsible development, adoption, and regulation of AI technologies.
9:15 AM – 10:00 AM: Keynote Fireside Chat: What’s Next in AI Governance?
- Chair: Xiaochen Zhang, Xiaochen Zhang, Chief Responsible AI Officer, AI 2030
- Brian Peretti, CTO and Deputy Chief AI Officer, U.S. Department of the Treasury
- El Bachir Boukherouaa, Division Chief of the Data Operations, International Monetary Fund
10:00 AM – 10:45 AM: AI Risks, Compliance and Global Regulations
- Chair: Mason Molesky, AI Partnerships & Policy Executive, IBM
- James Gatto, AI Team Leader, Sheppard Mullin Richter & Hampton LL
- Pamela Gupta, the CEO of Trusted AI
11:00 AM – 11:30 PM: Responsible AI Deep Dive 1- Reliable AI
- Soheil Feizi, Associate Professor, University of Maryland
11:30 AM-12:00 PM Responsible AI Deep Dive 2- Towards Safe AI:
- Designing Secure Systems for a Responsible Future
- Kris Lovejoy, Global Security and Resilience Practice Leader, Kyndryl
1:00 PM – 1:45 PM: Responsible AI Adoption: Bridging Strategy and Implementation for Impact
- Chair: Daniela Muhaj, Associate Director, Research and Technology Initiatives, Georgetown University
- Var Shankar, Chief AI and Privacy, Officer, Enzai
- Denise Turley, VP, Corporate Systems, U.S. Chamber of Commerce
- Kyle Hauptman, Vice Chairman, National Credit Union Administration
1:45 PM – 2:30 PM: Climate Change and Nature: Harnessing Technology to Preserve Our Planet’s Ecosystems
- Chair: Xiaochen Zhang, Chief Responsible AI Officer, AI 2030
- Darius Nassiry, Vice President, Climate Change, WSP
- Diana Barrero Zalles, Head of Research and Sustainability, Global Blockchain Business Council
2:45PM -3:30 Closing the Responsible AI Talent Gap: Building AI Literacy, Training, and the Workforce of the Future?
- Chair: Sarah Lioyd Favaro, AI 2030 Evangelists Chair, AI 2030
- Asma Derja, Founder, Ethical AI Alliance
- Noelle Russell, Chief AI Officer, AI Leadership Institute
- David Bain, Founding Executive Director, Technology Integrity Council
3:30 PM – 4:00 PM: Discussion and Closing Remarks
