About AI 2030

AI 2030 is an initiative aimed at harnessing the transformative power of AI to benefit humanity while minimizing its potential negative impact.

Our Mission

Building Trust, One Algorithm at a Time

AI2030 is a member-based organization aiming to harness the transformative power of AI to benefit humanity while minimizing its potential negative impact. Focused on Responsible AI, AI for All, and AI for Good, we aim to bridge awareness, talent, and resource gaps, enabling responsible AI adoption across public and private sectors.

Our mission is to mainstream responsible AI by 2030, empowering our members to lead in the research, development, and responsible use of AI. We have developed a responsible AI framework based on six pillars: transparency, fairness, accountability, privacy preservation, sustainability, and security. We connect our members with a global community of AI experts, offer cutting-edge training, and provide tools to simplify responsible AI design and adoption. Our core programs include industry events like the AI 2030 Summit Series, the AI 2030 Campus for peer learning, sector-specific working groups, Responsible AI Design Labs, and the Responsible AI Pledge. 

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AI 2030 Leadership

Xiaochen Zhang

Founder, Executive Director & Chief Responsible AI Officer, AI 2030

Tracy Raissis

Head of Strategy, AI 2030

Mary Calif

Chief of Staff, AI 2030

Jingfang Cai

Head of Membership, AI 2030

Brett Mowry

Head of Advisory, AI 2030

Daniela Muhaj

Head of Research and Development, AI 2030

Zakaria Laaraj

Head of Education Vertical

Sean Lee

Co-head of Product, AI 2030

Lin Classon

Co-head of Product, AI 2030

Neha Goel

Chair, Women in AI Leadership Program, AI 2030

Heather Flannery

DC Chapter Lead, AI 2030

Rahul Bhargava

Singapore Chapter Lead, AI 2030

Al Leong

Head of Marketing, AI 2030

Michael Glavich

Head of Business Development, AI 2030

AI 2030 Initiative

The AI 2030 Initiatives are designed to empower individuals, businesses, investors, and public sector
organizations to lead in responsible AI. Through pledges, leadership programs, and strategic collaborations,
these initiatives aim to drive responsible AI innovation, foster global collaboration, and ensure AI technologies
contribute positively to society and the environment.

Become a Member

AI 2030 For Individuals

Empowering individuals to lead in responsible AI and shape a global future focused on responsible AI practices

  • AI 2030 Responsible AI Leadership Pledge: An initiative empowering individuals to champion responsible AI by transforming responsible AI principles into actionable commitments and scaling responsible AI practices globally.
  • AI 2030 Leadership Institute: A suite of advanced leadership programs designed to empower individuals with the expertise and skills needed to navigate and lead in the rapidly evolving AI landscape.
  • AI 2030 Leadership Institute: A suite of advanced leadership programs designed to empower individuals with the expertise and skills needed to navigate and lead in the rapidly evolving AI landscape.
  • AI 2030 Global Fellowship Program: A prestigious fellowship that nurtures emerging AI leaders by providing global exposure, mentorship, and hands-on experience in responsible AI.
  • AI 2030 Evangelist: A platform for AI thought leaders to champion responsible AI, spreading awareness and sharing best practices to foster ethical innovation across the industry.
  • AI 2030 Responsible AI Executive Program: A high-level program designed for business leaders to connect with peers, amplify their influence in responsible AI, and seamlessly integrate ethical AI principles into their strategic decision-making.
  • AI 2030 Campus: An exclusive, week-long immersion program for top executives, investors, and entrepreneurs worldwide, focused on exponential entrepreneurship, responsible AI leadership, and strategic entry into the U.S. market.
  • Women in AI Leadership:An award and development program recognizing and amplifying the achievements of women in AI, aiming to inspire future female leaders and promote gender equity in technology.
  • AI 2030 Leadership Institute: A suite of advanced leadership programs designed to empower individuals with the expertise and skills needed to navigate and lead in the rapidly evolving AI landscape.

AI 2030 For Business

Supporting businesses in leading responsible AI innovation and integrating responsible AI practices into their operations.

  • AI 2030 Responsible AI Corporate Pledge: A voluntary commitment for corporations to uphold ethical, transparent, and accountable AI practices, setting a new industry benchmark.
  • AI 2030 Responsible AI Design Lab (RAIDL): A global initiative partnering with leading research institutions to develop AI solutions that integrate the six pillars of responsible AI—transparency, accountability, fairness, privacy preservation,sustainability, and safety—into product and program design and deployment. RAIDL also aims to establish a global center of excellence for responsible AI design and practices.
  • AI 2030 Accelerator: A program dedicated to accelerating startups and businesses that are developing responsible AI technologies, providing them with resources, mentorship, and funding.
  • AI 2030 Industry Working Group: A collaborative platform where industry leaders share best practices and develop industry-wide standards for responsible AI.

AI 2030 For Investors

Empowering investors to fund responsible AI innovations that drive sustainable and ethical technological advancements.

  • AI 2030 Responsible AI Investor Pledge: A pledge for investors to commit to funding AI initiatives that prioritize ethical considerations, transparency, and long-term societal impact.
  • Billions for Trillions Climate Alliance:A strategic alliance focused on creating a billion-dollar climate finance instrument to fund AI and emerging technology innovations that drive need-based climate solutions for global impact.

AI 2030 For Public Sector

Guiding governments, universities, non-profits, and other public sector agencies in adopting and promoting responsible AI practices

  • AI 2030 Responsible AI Research Pledge:A commitment for public sector institutions to prioritize responsible AI research that addresses societal challenges and promotes responsible technology development.
  • Responsible AI Resource Center/ AI 2030 Hub: A hub offering training courses, certification programs, research, and publications focused on advancing knowledge and practices in responsible AI.

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