Vendors and modelsVendor

ByteDance AI failures

Every documented AI failure involving ByteDance on the AI Failure Index, classified by the mechanism that broke.

Failures
4
Highest severity
High
Span
2020 to 2026
Failure modes
2
By severity
FI-0334SaaSHigh
Brand & Safety Incident

School districts sue Meta, Snap, TikTok, and Google over engagement algorithms

Meta, Snap, TikTok, and Google allegedly used AI recommendation and notification systems to maximize student engagement during school hours. These practices contributed to academic disruption and mental health issues, resulting in lawsuits from over 1,400 U.S. school districts.

Confidence
High (multi-source, primary)
Meta, Snap, TikTok, and Google3 sourcesPrimaryPublicJun 2026
FI-0414SaaSHigh
Brand & Safety Incident

TikTok algorithm exposed young users to pro-eating disorder content

TikTok's algorithmic recommendation system allegedly promoted pro-eating disorder content to minors. This occurred despite official policies banning such material, highlighting a failure in content filtering and safety guardrails.

Confidence
High (multi-source, primary)
TikTok2 sourcesPrimaryPublicJul 2022
FI-0447Cross-industryHigh
Policy Violation

TikTok fined €750,000 by Dutch DPA for violating children's privacy

The Dutch DPA concluded TikTok breached children’s privacy rules and fined the company €750,000 on 22 July 2021 for failing to provide adequate, Dutch-language and child-readable privacy information. The DPA reported that TikTok implemented some changes but that issues such as age misrepresentation and other potential infringements were referred to the Irish Data Protection Commission. TikTok lodged an objection to the fine.

Confidence
High (multi-source, primary)
TikTok (Netherlands)3 sourcesPrimaryPublicJul 2021
FI-0396Cross-industryMedium
Brand & Safety Incident

TikTok 'Suggested Accounts' experiment alleged to amplify or suppress certain creators

In February 2020 an AI researcher reported that TikTok’s "Suggested Accounts" feature recommended other creators who looked similar to the account a user had just followed, raising concerns about feedback loops and visibility bias for creators. TikTok disputed the claim and said recommendations are based on collaborative filtering. Independent news outlets reported the researcher’s experiment and the platform response.

Confidence
High (multi-source, primary)
TikTok (ByteDance)3 sourcesPrimaryPublicFeb 2020

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