Program Overview:
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.
Program Highlights:
- Interactive Sessions: Engage in dynamic discussions, live simulations, and collaborative problem-solving exercises.
- Real-World Applications: Learn from real-world case studies and cutting-edge AI technologies.
- Expert-Led Workshops: Gain practical knowledge from industry leaders and AI regulators.
- Collaborative Networking: Build connections with top AI professionals, innovators, and thought leaders.
- Actionable Takeaways: 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
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
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
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
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: 8 Weeks (Oct 1 – Dec 10, 2025)
- Delivery: Weekly virtual sessions with one-day in-person optional conference.
Certification: Participants will receive the AI 2030 Certified Responsible AI Leader credential upon completion.
Featured Guest Lecturers
Marianna B. Ganapini, Associate Professor in Philosophy and Data Science, University of North Carolina at Charlotte
Usha Jagannathan, Director of AI ProductsDirector of AI Products, IEEE Standards Association
Soheil Feizi, Founder & CEO, RELAI.ai | CS Prof, UMD
James Gatto, AI Team Leader, Sheppard Mullin Richter & Hampton LLP
Phaedra Boinodiris, IBM Consulting’s Global Leader for Trustworthy AI
Nick Schmidt, Chief Technology and Innovation Officer, SolasAI
Arjun Ravi Kannan, Director, Data Science Research, Discover Financial Services
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.