Cultivating New Guidelines for Inclusive AI Education in Higher Education, the first report emerging from the Future of AI Education Council, is available here. The Council is led by AI4ALL and funded by a generous grant from Google.org.
While AI promises numerous milestones to technology R&D and innovation, there are a number of trust, ethics, governance, sustainability and accountability challenges that need to be overcome in order for humanity to actualize the benefits.
Without proper guardrails and dedication to Responsible AI practices, the same AI technologies used to prepare for future pandemics, improve crisis response capabilities, accelerate medical discovery, and safeguard critical financial infrastructure becomes a force multiplier for humanity’s worst impulses—turning bias, manipulation, and harm into systems that operate at global scale.
A recent survey fielded by Gallup and Bentley University found that 79% of Americans don’t trust companies to use AI in a responsible way.
A better future for AI—in which the technology benefits all of humanity in addition to actively mitigating harms—requires uplifting, upskilling, and empowering more highly capable people to become Responsible AI practitioners who can help guide teams of technologists towards the active mitigation of harms. Humanity’s education systems are a crucial part of the problem-solving equation.
AI4ALL’s Future of AI Education Council aims to empower educators
It is against this backdrop that AI4ALL has convened our Future of AI Education Council, as a forum for academics at leading universities o share classroom strategies, surface common challenges, and identify opportunities to strengthen both rigor and responsibility in AI coursework. In Year 1 (academic year 2025-2026), our focus is the relationship between inclusion, academic rigor, and Responsible AI, with the goal of drafting and publishing practical guidelines for educators who teach AI and AI-adjacent courses.
There are currently 33 members in the Council, including professors and deans (mainly in computer science, engineering, and data science), postdoctoral researchers, PhD students, and AI4ALL instructors. Members come from over 20 institutions, representing a diverse mix of public and private universities from urban, suburban, and rural settings across the US and around the world.
Learn more, stay in the loop
AI4ALL’s first position paper describing timelines, key concepts, focus areas and discussion tracks for this initiative, Cultivating New Guidelines for Inclusive AI Education in Higher Education is available here.
Sign up for AI4ALL’s email list for continued updates from the Council, in addition to announcements for when we release new position papers.