The Strategic Centre produces research, executive briefings and applied insights that enable leaders to understand AI risk, strengthen governance and advance responsible adoption. Our publications draw on academic research, industry practice and cross-sector collaboration to inform ethical, evidence-led and well-governed decision-making.
Research papers
Peer reviewed work, research outputs, working papers, frameworks and evidence-led analysis.
Who Has Authority Over AI? Accountability and Risk Governance Across Public and Private Sectors
This paper examines the allocation of authority over AI systems across governmental and corporate actors, highlighting governance challenges and accountability mechanisms in practice.
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Trust Before Scale: Decision Architecture as the Missing Infrastructure of AI Governance
This study explores how decision architecture forms the foundation for scalable, trustworthy AI governance, emphasising procedural design and organisational coordination.
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Responsibility Without Authority: Decision Architecture, Accountability, and Organisational Viability in Algorithmic Organising
This research investigates the tension between responsibility and authority in algorithmic decision-making, offering insights into organisational design and sustainable governance practices.
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Executive briefings
Short, actionable intelligence for boards and executive committees.
Leadership Readiness for AI Risk Oversight
An overview of the literacy and understanding leaders need to oversee AI risk responsibly. This briefing highlights critical gaps identified in our research and outlines the foundational competencies required for effective oversight.
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Governance Responsibilities in AI Adoption
A practical synthesis of the ethical, organisational and strategic questions leaders must address when deploying AI. This briefing provides a clear framework for aligning AI initiatives with values, purpose and long-term strategic intent.
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Ethical and Strategic Considerations in AI Strategy
A practical synthesis of the ethical, organisational and strategic questions leaders must address when deploying AI. This briefing provides a clear framework for aligning AI initiatives with values, purpose and long-term strategic intent.
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Commentary and articles
Short-form commentary, thought leadership and practical insights on emerging AI governance issues.
Authority under Automation
An exploration of how authority shifts when decision-making becomes partially automated, and what this means for responsibility, leadership and governance structures.
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Governance vs Oversight Theatre
A critical look at performative governance practices that create the appearance of control over AI systems without establishing meaningful accountability or risk management.
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Decision Architecture and Escalation Design
Practical reflections on designing escalation pathways and decision structures that allow organisations to respond responsibly when AI systems produce uncertain or high-risk outcomes.
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Human Behaviour Around AI Systems
An examination of how people interact with AI tools in real organisational environments, including trust dynamics, overreliance and behavioural responses to automated recommendations.
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Responsible AI Scale
A discussion of what it takes to scale AI responsibly across organisations, focusing on governance maturity, leadership capability and the infrastructure required for trustworthy deployment.
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If you would like to collaborate on research, contribute to publications or commission a briefing, we welcome the conversation.
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