FairByDesign Reporting
Field Papers
FairByDesign field guides and whitepapers — practical, in-depth resources on AI governance, oversight, security, privacy and operational readiness.
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Algorithmic Power and Public Oversight: The Next Phase of AI Accountability
In October 2025, the United States announced the formation of a National AI Safety Board—a permanent oversight body modeled on the National Transportation Safety Board. Days later, the European Commission…
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AI Security by Design: Integrating Governance into the Development Lifecycle
Integrating Governance into the Development Lifecycle Artificial-intelligence security is entering a phase where good intentions are no longer sufficient. 2025’s high-profile AI breaches—from model-prompt leaks to manipulated training datasets—exposed that…
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The Global AI Supply Chain: Provenance, Integrity, and Systemic Risk
AI systems are not built; they are assembled. Every model, dataset, and line of code depends on an intricate supply chain of vendors, cloud providers, open-source libraries, and pre-trained components.…
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Operational AI Trust: From Principles to Measurable Governance
Artificial intelligence has entered the stage of regulation, and organizations are now being asked not just to use AI responsibly but to prove that they are doing so. For years,…
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AI Bias Audits: Market Signals, Social Imperative, and How Auditors Win Clients
The paper focuses on two high-leverage capabilities that boutique auditors and allied firms need in order to win new business in the next few months: the ability to map the…
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Italy’s AI Law Marks a Shift from Principles to Enforceable Governance
Italy became the first EU country to pass a national AI law on September 17, 2025, requiring algorithmic traceability, dedicated oversight bodies, and protections for minors. The law signals the…
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TikTok Algorithm Oversight and the Geopolitics of AI
On September 25, 2025, the U.S. endorsed a plan for U.S. control over TikTok’s data and recommendation engine, while Italy’s new AI law and the EU AI Act tighten algorithmic…
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The Case for Continuous AI Governance
Annual reviews are not enough. Learn why continuous AI governance is needed to keep pace with evolving risks and maintain board confidence.
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From Policies to Practice: Closing the Evidence Gap
Policies alone are not enough. Learn how organizations can close the AI governance evidence gap with risk registers, drills, and monitoring.
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Cross-Mapping AI Governance Frameworks
EU AI Act, ISO 42001, and NIST AI RMF overlap but differ. Learn how cross-mapping creates efficiency and reduces compliance risks.
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Evidence Libraries as a Foundation for AI Governance
Regulators demand evidence, not policies. Learn why structured evidence libraries are critical for AI governance and audit readiness.
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Shadow AI and the Visibility Crisis
Most AI use is invisible to IT and boards. Research shows how to close the visibility gap with inventories, discovery, and governance nodes.
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Case Study Lessons: AstraZeneca’s Ethics-Based Audit
A 12-month AstraZeneca study shows how ethics-based auditing works in practice. Culture and structure matter more than tools.