AIPolicyTracker

AI incident ·

Microsoft's TayBot Allegedly Posts Racist, Sexist, and Anti-Semitic Content to Twitter

28 news reports Snapshot 7 Sep 2026

In brief

An AI system built and deployed by Microsoft allegedly harmed X (Twitter) Users.

Risk domain
Discrimination and Toxicity Exposure to toxic content
Occurred
Coverage
28 reportsMar 2016 - Nov 2020

What happened

Microsoft's Tay, an artificially intelligent chatbot, was released on March 23, 2016 and removed within 24 hours due to multiple racist, sexist, and anti-semitic tweets generated by the bot.

Laws that address this harm

Policy angle: Classified under Discrimination and Toxicity (Exposure to toxic content) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (28)

Titles link to the original publisher; report text is not reproduced here.

  1. Why Microsoft's 'Tay' AI bot went wrong
    techrepublic.com · Hope Reese
  2. Microsoft’s Tay is an Example of Bad Design
    medium.com · Caroline Sinders
  3. Learning from Tay’s introduction
    blogs.microsoft.com · Peter Lee, Microsoft
  4. Microsoft chatbot Zo is a censored version of Tay
    wired.co.uk · Victoria Woollaston
  5. Worst Chatbot Fails
    businessnewsdaily.com · Matt D'Angelo
  6. Unmasking A.I.'s Bias Problem
    fortune.com · Jonathan Vanian
  7. Tay (bot)
    en.wikipedia.org · Wikipedia Editors

Who was involved

Alleged deployer
Microsoft
Alleged developer
Microsoft
Alleged harmed party
X (Twitter) Users

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
none
Sectors
information and communication
Countries
—

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 1.2.

  • Harmful Content

    "The LLM-generated content sometimes contains biased, toxic, and private information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxicity

    "Toxicity means the generated content contains rude, disrespectful, and even illegal information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Toxic Training Data

    "Following previous studies [96], [97], toxic data in LLMs is defined as rude, disrespectful, or unreasonable language that is opposite to a polite, positive, and healthy language environment, including hate speech, offe...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Not-Suitable-for-Work (NSFW) Prompts

    "Inputting a prompt contain an unsafe topic (e.g., notsuitable-for-work (NSFW) content) by a benign user. "

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Controversial Opinions

    The controversial views expressed by large models are also a widely discussed concern. Bang et al. (2021) evaluated several large models and found that they occasionally express inappropriate or extremist views when disc...

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Toxicity and Abusive Content

    This typically refers to rude, harmful, or inappropriate expressions.

    Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)

  • Harmful responses

    "Current Frontier AI mdoels amplify existing biases within their training data and can be manipulated into providing potentially harmful responses, for example abusive language or discriminatory responses91,92. This is n...

    Future Risks of Frontier AI (GOS2023)

  • Violation of social norms

    "Second, because LLMs are trained on internet text data, there is also a risk that model weights encode functions which, if deployed in particular contexts, would violate social norms of that context. Following the princ...

    The Ethics of Advanced AI Assistants (Gabriel2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Other incidents involving Microsoft

Source record: incident #6 on the AI Incident Database · all 28 reports