Case Studies

Real world examples and case studies

Companies doing — and failing to do — the things the 4th Stakeholder framework calls for.

Platform AccessTechnology

Reddit’s Access Crackdown: Protecting the Platform Without Locking Out Society

In the supplied scenario, Reddit is ending RSS feeds and public API access in response to AI bots. These restrictions could curb unwanted automated extraction but also disrupt legitimate users, developers, researchers, and communities that rely on access to discussions built from community contributions. The stakeholder challenge is to protect platform resources without treating all external access as equally harmful or overlooking the public value those contributions create.

Added Oct 1, 2026

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Suno’s Renewed Copyright Dispute: Who Shares in AI Music’s Value?

Suno

Sony and Universal Music Group are suing Suno again, alleging that its latest model perpetuates copyright infringement through outputs from earlier models. These allegations are not established findings. The dispute raises questions about how AI music developers account for the provenance of training material and generated content, and how the benefits and burdens of AI music are distributed among platforms, rights holders, creators, and society.

Added Sep 25, 2026

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Safety AccountabilityArtificial Intelligence

OpenAI’s Safety Disclosures: From Acknowledgment to Societal Accountability

OpenAI

OpenAI has revealed six additional safety issues and announced a system for tracking, investigating and disclosing incidents. This creates a concrete accountability test: whether identifying failures leads to verifiable changes that protect both users and wider society. The scenario does not specify the issues’ severity, affected populations or remediation status, so the announcement alone cannot establish that societal harm has been reduced.

Added Sep 20, 2026

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Public SafetyArtificial Intelligence

Claude’s Biological Safeguards Face a Public-Safety Test

Anthropic

The supplied scenario reports that Claude users found ways to circumvent safeguards intended to prevent assistance with bioweapons research. This raises potentially severe public-safety concerns while highlighting the challenge of preserving legitimate biological research without enabling dangerous misuse. The supplied information does not establish that a weapon was produced, how broadly the bypasses worked, or how Anthropic responded.

Added Sep 13, 2026

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AI Safety GovernanceTechnology

Slowing the AI Race: From Proposal to Societal Accountability

Anthropic

The supplied headline describes Anthropic’s Amodei proposing a plan to slow the pace of advancing AI capabilities, raising a consequential question: how should an AI company balance commercial competition with risks borne by society? The proposal signals interest in changing the trajectory of capability development, but the information provided does not establish its specific mechanisms, industry participation, enforceability, or implementation. This analysis therefore evaluates the proposal’s direction and the governance needed to turn it into measurable societal protection.

Added Sep 12, 2026

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Safety GovernanceArtificial Intelligence

AI Slowdown Calls Test Whether Society Has a Seat at the Table

OpenAI and Anthropic

The scenario describes growing calls from researchers associated with OpenAI and Anthropic to slow AI development amid warnings of potentially catastrophic harm. These warnings put the companies’ development pace, release decisions, and safety governance under scrutiny because the consequences could extend far beyond customers, employees, and investors. The warnings warrant serious examination, but they do not establish misconduct, demonstrate that extinction is likely, or by themselves determine which restrictions would be effective.

Added Sep 11, 2026

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