Opinion piece argues AI firms, not models, bear responsibility for harmful outputs
A commentary argues that blaming large language models for harmful outcomes amounts to 'decision laundering,' since software cannot make decisions. The author contends that companies like OpenAI and Anthropic could prevent certain model behaviors but choose not to, and that users funding subscriptions are indirectly supporting this choice.
GoKawiil's interpretation of the reporting above, not reported fact.
The piece reframes AI accountability debates as a question of corporate responsibility rather than technical failure, which could influence how regulators and the public assign blame for AI harms. It suggests, without citing specific evidence, that weak oversight persists because stricter rules might hurt economic interests tied to AI companies—an inference rather than a confirmed motive.
- The author argues responsibility for AI-driven harms lies with companies, not the models themselves.
- The piece claims OpenAI and Anthropic could alter model behavior but choose not to.
- It suggests lack of regulation stems from economic incentives, though this is presented as opinion, not fact.
Source: wiki.cateat.fish, 2026-10-10
Published there as: “Computers Cannot Make Decisions”
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