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Back to AI Incidents

Incident #1442·AI Safety & Failures

Kiro AI Coding Tool Was Reportedly Implicated in 13-Hour AWS Cost Explorer Outage in Mainland China

December 15, 20255 reportsView on AIID

Explainability

Description

Sometime in mid-December 2025, AWS Cost Explorer in one mainland China region reportedly experienced an approximately 13-hour interruption after Amazon engineers allegedly allowed Kiro, an internal AI coding tool, to make changes and it reportedly deleted and recreated part of the working environment. Amazon reportedly disputed that account, saying the interruption was an extremely limited event caused by user error and misconfigured access controls, not AI.

Actors

Alleged Deployers

amazon-web-services-(aws)

Alleged Developers

amazon-web-services-(aws)

Harmed Parties

amazon-web-services-(aws)-customers

Classification

Risk Domain

AI Safety & Failures

Risk Subdomain

7.3. Lack of capability or robustness

MIT Risk Profile

AIUnintentionalPost-deployment

Topics

Explainability

Source

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Research Papers on This Topic

Concrete Problems in AI Safety

3,612 citationsJun 2016

A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI

2,338 citationsJul 2019

Representation Engineering: A Top-Down Approach to AI Transparency

1,499 citationsOct 2023

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

1,178 citationsJul 2021

Mitigation Tools

Tools related to this risk domain, via shared responsible AI topics.

Open Source

lime

marcotcr/lime

Lime: Explaining the predictions of any machine learning classifier

⭐ 12,100

facets

PAIR-code/facets

Visualizations for machine learning datasets

⭐ 7,374

interpret

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

⭐ 6,788

captum

Source Reports(5 total)

How an AI Bot Named Kiro Took Down AWS Cost Explorer

singhajit.com· Feb 2026

Amazon blames human employees for an AI coding agent’s mistake

theverge.com· Feb 2026

AI Incident Database (AIID), MIT AI Risk Initiative. Data from the AI Incident Database (AIID), MIT AI Risk Initiative. Licensed under CC BY-SA 4.0.

Databaseaiid

LicenseCC BY-SA 4.0

Dec 2015

pytorch/captum

Model interpretability and understanding for PyTorch

⭐ 5,548

Commercial

Datomize

Synthetic data generation for privacy compliance

Protect AI

Helping organizations build and use AI safely.

Censius

AI observability for model governance.

HiddenLayer

Model detection and response (MDR) for AI model protection.

13-hour AWS outage reportedly caused by Amazon's own AI tools

engadget.com· Feb 2026

Amazon Reportedly Pins the Blame for AI-Caused Outage on Humans

gizmodo.com· Feb 2026

Correcting the Financial Times report about AWS, Kiro, and AI

aboutamazon.com· Feb 2026