Commercial Misuse of AI and Social Harm: 6.0 An Introduction
Why Failure is Predictable
This arc examines a class of harms often described as “misuse” of AI systems. That label is misleading.
The cases explored
When AI Works Too Well: Governing Institutional Drift Beyond Constitutional Models
Abstract
As enterprise AI systems mature and embed deeply within institutional workflows, governance attention has focused on model-level constraints such as constitutional AI. These
Beyond Constitutional AI: Memory, Governance, and ACP (an executive summary for funders)
What this is
This work argues that the most consequential risks of enterprise AI—especially in government—are not primarily model misbehavior (hallucinations, unsafe content)
Beyond Constitutional AI: Institutional Memory, Supervisory Governance, and the Agora Commonplace Protocol (ACP)
Abstract
As enterprise AI systems become deeply embedded in government and organizational workflows, attention has focused on model-level alignment mechanisms such as constitutional AI.
Constitutional AI Without Institutional Memory (II): ACP as a Supervisory Layer for Enterprise AI Systems
Abstract
Enterprise AI platforms such as StateChat demonstrate rapid progress in reasoning quality, document-scale analysis, and workflow integration, especially with the adoption of advanced