Information Governance - Information Matters

Traditional governance models, reliant on static documents and manual reviews, are fundamentally incompatible with the velocity and complexity of modern AI and software development. This paper examines the paradigm of “Governance as Code” (GaC), a transformative approach that embeds information policies, ethical guidelines, and compliance controls directly into the technology stack. By translating human-readable rules into machine-executable code, GaC enables proactive, automated enforcement within DevOps and AIOps pipelines. We explore practical implementations such as AI guardrails that filter sensitive prompts and automated risk-tiering systems that streamline project oversight.

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October 17, 2025 Bethany McGowan

What Makes People Trust Information? Finland Might Have the Answer.

In an era of misinformation, Finland stands out for one simple reason: people trust its information systems. This article explores how ethics, policy, and education combine to make that trust possible, and what other democracies can learn from it.

Featured Translation

November 14, 2024 Madelyn Sanfilippo

Governing Misinformation

This translation of the authors’ recent ARIST review, “Sociotechnical Governance of Misinformation,” highlights the urgency and importance of empirical research on misinformation governance to inform decision-making and policy-making in support of a healthier information environment.

Translation

April 8, 2022 Yan Shvartzshnaider

GKC-CI: A Unifying Framework For Contextual Norms and Information Governance

Designing technology that is attuned to ethical privacy considerations is a multifaceted challenge that requires a detailed understanding of the interplay between societal privacy norms, governance factors, and information handling practices in specific contexts. A grounding theoretical framework is needed to define the “right” research questions to untangle these interconnected factors across empirical studies from different disciplines. Our recent work integrates contextual integrity (CI) and governing knowledge commons (GKC) into a combined framework. GKC-CI extends the range of inquiry supported by either CI or GKC individually, enabling further insight into privacy expectations and governing factors across contexts.