As AI continues to permeate various sectors, including education, understanding how it should be governed is essential. In PwC New Zealand’s Artificial Intelligence: What Directors Need to Know, a comprehensive framework for AI governance is presented, offering valuable insights that extend beyond corporate boardrooms and into the educational landscape. While the report is primarily business-focused, its principles of ethical oversight, risk management, and strategic alignment provide critical takeaways for educational leaders.
AI Governance in Education
In this post, we explore where PwC’s thought leadership converges with findings from our own surveys of educators and AI experts. While both perspectives emphasise the importance of ethical AI governance, divergences appear in terms of scope, regulatory focus, and practical application in the classroom. Below, we examine these similarities and differences and consider what they mean for the future of AI governance in education.
The Role of Directors in AI Governance in Education
Directors play a pivotal role in shaping the policies and practices that govern AI within their organizations. As AI becomes increasingly embedded in both business and education, directors must ensure that AI systems align with ethical frameworks, regulatory obligations, and strategic goals. PwC’s report highlights the responsibility of directors to safeguard against risks like algorithmic bias, data privacy breaches, and discrimination. This governance responsibility has clear parallels in education, where the stakes are high, particularly regarding student data and the ethical implications of AI in decision-making processes.
Convergences Between PwC’s Report and Our Educational Findings
1. Ethical Concerns and Governance
Both PwC and our survey findings place a strong emphasis on ethical oversight. PwC underscores the importance of governance frameworks that mitigate risks such as data privacy breaches and algorithmic bias. Similarly, educators and AI experts stress the need for fairness and inclusivity in AI adoption, particularly when protecting vulnerable student populations.
2. Ongoing Oversight
PwC advises directors to engage in continuous monitoring of AI systems to prevent risks like model drift and ensure compliance with evolving legal standards. This aligns with educators and experts who argue that AI systems in education require regular auditing and updates to maintain effectiveness and ethical standards.
3. Training and Capacity Building
Both reports highlight the importance of training. PwC calls for directors to ensure employees are adequately trained to use AI responsibly, while educators emphasise the need for professional development programs to help teachers integrate AI tools effectively in the classroom.
Divergences Between PwC’s Report and Our Educational Findings
1. Scope of AI Application
PwC’s report casts a wide net, addressing corporate governance, intellectual property, and competition law across various industries. Our findings, however, are more narrowly focused on the practical challenges educators face in applying AI to enhance teaching and learning outcomes. For educators, the immediate concern is not business efficiency but how AI can be used to improve student engagement and personalise learning.
2. Regulatory Focus
PwC stresses the need for directors to prepare for global AI regulations, such as the EU AI Act, which seeks to standardise AI governance across borders. In education, however, the focus is more on internal governance within institutions, particularly around safeguarding student data and ensuring that AI is used ethically within specific learning environments. Educators also express concerns that overregulation could stifle innovation, hindering AI’s potential benefits in education by imposing too many constraints.
3. AI Innovation vs. Practical Application
While PwC encourages organisations to pursue AI innovation to enhance business efficiency, educators and AI experts are more concerned with practical applications in the classroom. Their focus is on using AI to support personalised learning and assist teachers, rather than innovating AI for its own sake.
Summary
The comparison between PwC’s Artificial Intelligence: What Directors Need to Know and our findings from educational surveys highlights important intersections in AI governance, particularly around ethics, ongoing oversight, and training. However, key differences emerge regarding the scope of AI application and regulatory approaches. PwC’s report takes a broad view of AI’s business impact, while educators are more focused on the practical challenges AI presents in the classroom.
Ultimately, successful AI adoption—whether in business or education—requires a delicate balance between innovation and ethical governance. Directors, managers, and educators alike must collaborate to ensure AI is deployed responsibly, enhancing both organisational performance and educational outcomes in a way that is equitable and inclusive.
Want to Learn More?
Interested in how AI governance can be applied in education? Download PwC’s full report here and explore our literature review AI in Education here and our findings on the ethical and practical implications of AI in classrooms here. Share your thoughts in the comments—how do you think AI governance should evolve in the education sector?