Weeks
National AI Belonging Week
National AI Belonging Week explores how artificial intelligence can be developed and deployed in ways that promote access, fairness, and community-centered design. This week encourages dialogue around representation in data, inclusive user experiences, and the cultural dimensions of intelligent systems.
National AI Emerging Week
National AI Emerging Week highlights the voices and visions of rising leaders, technologists, and researchers shaping the future of AI. Through workshops, networking sessions, and innovation showcases, participants explore how early-career professionals are driving bold advancements and shaping responsible practices.
National AI Women’s Week
National AI Women’s Week celebrates the achievements of women in AI—from engineers to executives—while addressing the challenges and opportunities for increased representation and influence. This week features trailblazing speakers, leadership development, and mentorship-focused programming.
National AI Multicultural Week
National AI Multicultural Week recognizes the global and cultural dimensions of artificial intelligence, emphasizing the need for systems that reflect diverse worldviews, languages, and experiences. The week includes international panels, case studies, and cross-cultural tech discussions.
AI Latinx Week
AI Latinx Week amplifies the contributions and perspectives of Latinx professionals in the AI space. From community-rooted innovation to entrepreneurship and research, this week centers Latinx-led approaches to shaping ethical and impactful technology.
AI Inclusion Week
AI Inclusion Week focuses on expanding opportunities for individuals and communities who have been historically underrepresented in technology. Participants explore education pathways, inclusive hiring, accessible design, and the role of AI in bridging digital divides.
National AI Diversity Week
National AI Diversity Week examines the importance of varied perspectives in AI development, deployment, and governance. It challenges monolithic models by promoting cognitive, disciplinary, and experiential diversity across sectors and applications.