LEADConnected

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AASA Joins 140+ Organizations in Opposing Federal AI Preemption
This brief highlights a major governance issue: a proposed federal ban on state-level AI regulation. AASA joins over 140 groups pushing back, emphasizing the importance of state and local control in shaping AI guardrails that reflect evolving educational needs. Essential reading for leaders tracking the intersection of policy, ethics, and district autonomy.

AI and the Quest for Diversity and Inclusion: A Systematic Literature Review
This research-driven review explores how bias shows up in AI systems and what it means to design for equity across data, processes, and governance. A valuable lens for leaders working to align AI adoption with inclusive values and district priorities.

Artificial Intelligence Ethics Framework for the Intelligence Community
Designed for the U.S. Intelligence Community, the model outlines clear principles for human oversight, transparency, data accountability, and bias mitigation, principles highly applicable to public education systems navigating the adoption of generative AI. 

Artificial Intelligence in Educational Leadership: A Comprehensive Taxonomy
Explore a structured view of how AI intersects with leadership, including communication, engagement, and ethical responsibility. It’s a helpful framework for designing systems that center equity while embracing innovation

Ethical Considerations for Using Artificial Intelligence
AASA, The School Superintendents
This practical article frames AI policy not as a tech issue, but as an ethical leadership opportunity. Grounded in a school-based decision-making model, it highlights how administrators can engage diverse stakeholders—students, staff, and families—to weigh values like equity, authenticity, and safety. A helpful guide for district leaders looking to align AI use with mission, community, and trust.

Human Compatible: Artificial Intelligence and the Problem of Control (Book - Stuart Russell)

A powerful, accessible read from one of AI’s most respected voices. Russell challenges us to rethink how AI systems are aligned with human values—and what can happen when they’re not. This book goes beyond theory, grounding urgent ethical questions in real-world implications for leadership, governance, and trust. A foundational resource for leaders seeking to understand not just what AI can do, but how we must shape its use.

A Meta-Systematic Review of Artificial Intelligence in Higher Education
This comprehensive meta-review synthesizes nearly 70 studies on AI use in higher education and calls for greater ethical awareness, interdisciplinary collaboration, and contextual rigor in the field. While focused on postsecondary settings, the findings offer timely insights for K–12 leaders building responsible AI ecosystems.

Navigating Ethical Implications for AI-Driven PR Practice
Explore how AI can both enhance and endanger public trust. This PRSA article highlights risks like bias, misinformation, and erosion of human oversight, while offering concrete strategies like stakeholder steering committees and AI use disclosures that can translate to district leadership.

State Education Policy and the New Artificial Intelligence
This NASBE feature examines how generative AI introduces new complexity into familiar challenges of educational technology. With balanced perspectives on both promise and risk, the authors offer clear guidance for state leaders navigating policy, professional learning, privacy, and equity in the age of AI.