The AI Accountability Ecosystem in the Era of Language Models
This article reviews and updates the framework for accountability in AI based on account- ability ecosystems. We update the framework in light of the latest developments since the release of Large Language Models for general public use. We propose three interlinked updates to the original AI accountability ecosystem: (i) reorienting the accountability ecosystem to AI infrastructure and supply chains, (ii) providing greater emphasis on outcomes monitoring and identification of issues that support decentralized system improvement, and (iii) incorporating end-user accountability given the new risks of unpredictability of language models in-the-wild. Collectively, these updates mark a shift t...
| Authors | Chris Percy, Artur d'Avila Garcez |
|---|---|
| Primary category | cs.CY |
| Published | 29 April 2026 |
| Last updated at source | 4 October 2026 |
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