• AIGE
    • Teaching with Responsible AI Network
    • Digital Poverty and Inclusion Research
    • The Educational Research Greenhouse
    • AIGE in Action
    • Gallery: But did they actually write it?
    • Services
  • Scenarios AI Governance
    • About the case studies and scenarios?
    • Why Case Studies and Scenarios?
    • Case Study Template
    • Developing AI Literacy
  • Mitigating Risks of AI in Education
    • Deepfakes
    • Still Learning, Still Failing?
    • Optimised for Inequity
    • The Pilot that Went too far
    • Lessons from the NewCo Chatbot Example
    • The Los Angelese School Chatbot Debacle
  • Academic and Research Integrity
    • Mirror, Mask, or Misdirection?
    • Assessment Reform
    • did a human write this
    • it just said no
  • Leadership
    • Balancing workload and Assessment reform
    • Programmatic Possibilities
    • Automation and Abdication
    • The Global Influence of Big Tech
    • Who's in Charge here?
    • It Works, But Does It Belong?
    • Everyone and No One
  • Human Oversight
    • Hands Off Learning
    • Click to comprehend
    • Marked by the Machine
    • Just Follow the System
    • Implementing AI-Driven Recommender Engin
    • Facial Recognition Technology in educati
  • Engagement
    • Whose Voice Counts?
    • The Algorithm Didn’t See Me
    • Flagged and Forgotten
    • The library as a central hub
    • Accredited programs
  • Ethical AI
    • GenAI Hallucinates
    • The System Said So
    • Not Meant to Exclude
    • Justice Deferred
  • Compliance
    • Scan First, Act Later
    • Lost in the System
    • We Never Looked Under the Hood
    • Show Us the Proof
  • Monitoring
    • Aligning AI Tools with Educational Value
    • It wasn't ready
    • It Drifted
    • It solved the wrong problem
  • Transparency
    • It was a black box
    • we signed before we asked
    • behind closed algorithms
  • About Us

Who’s in Charge Here? A case to explore Governance Structures, Oversight, and Capacity Building in AI for Education

ACCOUNTABILITY & LEADERSHIP IN AI

How to cite this learning scenario

Arantes, J. (2025). Who’s in Charge Here? Case Studies in AI Governance for Education. www.AI4education.org. Licensed under a Creative Commons Attribution 4.0 International License.
abstract
This case study explores the consequences of implementing AI technologies in education without established governance structures, oversight responsibilities, or institutional capacity. Based on real-world patterns, the fictionalised scenario follows a regional education authority that rapidly deployed AI tools to streamline administration and personalise learning—but lacked a clear framework for governance, monitoring, and professional learning. The result: fragmented decision-making, unclear accountability, and escalating risks. This case underscores the importance of building internal capability, clarifying roles and responsibilities, and embedding ethical AI governance at every level of the education system.

Without governance, good intentions fall apart. AI in education must be guided by more than innovation—it requires strong structures, shared responsibilities, and a workforce equipped to lead ethically.

Who’s in Charge Here?

In 2023, the Central Education Authority of a regional school system rolled out a suite of AI tools across schools to manage administrative tasks, automate assessment, and personalise learning experiences. The rollout was fast-tracked under a digital transformation agenda—but the authority had no existing policy or governance structure in place to oversee AI. At the school level, principals were unclear on who was responsible for managing AI risks or responding to ethical concerns. IT teams were tasked with deployment, but lacked training in algorithmic literacy. Teachers received no guidance on how to evaluate or question AI-generated recommendations. A growing number of issues went unresolved: AI-moderated assessments marked Indigenous cultural content as off-topic; student wellbeing flags were generated with no explainability; and concerns about data sharing with third-party vendors escalated. A report from an internal audit revealed that no central governance body existed to assess the educational, ethical, or legal implications of AI use. There was no AI literacy training for staff, no risk escalation protocols, and no mechanisms for community or student feedback. In response, the system established an AI Governance Committee with diverse representation—including educators, students, technologists, cultural advisors, and legal experts. They developed a multi-tiered governance model outlining roles, responsibilities, decision rights, and escalation pathways. Internal capability building began with AI ethics training for leaders and a new role: AI Integration Lead, to coordinate safe, inclusive implementation across the region. This case reminds us that successful AI integration in education is not just about the tools—it’s about the systems, people, and values that shape how those tools are used.

Research topics

Research questions

Explore what AI governance means in an educational context and why it matters. Identify key structures, policies, and roles needed for oversight and accountability. Develop strategies to build internal capability across leadership, teaching, IT, and student support. Understand how to foster a culture of responsible AI through participatory and transparent governance.
What should an AI governance structure include to be effective in an educational setting? Who should be responsible for monitoring, evaluating, and responding to AI risks in schools or universities? How can organisations build internal capacity for ethical AI deployment and oversight? What role should student and community voices play in governance structures? How can institutions ensure shared understanding and clarity of roles when deploying emerging technologies?

Data colleciton idea

Map the current AI governance responsibilities in your school or institution. Where are the gaps? What training or coordination is needed?

Do you want to know more?
© Copyright 2024 Web.com Group, Inc. All rights reserved. All registered trademarks herein are the property of their respective owners.
Subscribe to the AIGE Newsletter
Acknowledgement of Country We acknowledge the Ancestors, Elders and families of the Kulin Nation (who are the traditional owners of the land. where this work has bene predominantly completed. As we share our own knowledge practices, we pay respect to the deep knowledge embedded within the Aboriginal community and recognise their ownership of Country. We acknowledge that the land on which we meet, learn, and share knowledge is a place of age-old ceremonies of celebration, initiation and renewal, and that the Traditional Owners' living culture and practices have a unique role in the life of this region.

We use cookies to enable essential functionality on our website, and analyze website traffic. By clicking Accept you consent to our use of cookies. Read about how we use cookies.

Your Cookie Settings

We use cookies to enable essential functionality on our website, and analyze website traffic. Read about how we use cookies.

Cookie Categories
Essential

These cookies are strictly necessary to provide you with services available through our websites. You cannot refuse these cookies without impacting how our websites function. You can block or delete them by changing your browser settings, as described under the heading "Managing cookies" in the Privacy and Cookies Policy.

Analytics

These cookies collect information that is used in aggregate form to help us understand how our websites are being used or how effective our marketing campaigns are.