AIPolicyTracker

AI incident ·

2010 Market Flash Crash

30 news reports Snapshot 7 Sep 2026

In brief

An AI system built and deployed by Navinder Sarao, Waddell And Reed and 1 other allegedly harmed Market Participants.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
30 reportsMay 2010 - Jan 2019

What happened

A modified algorithm was able to cause dramatic price volatility and disrupted trading in the US stock exchange.

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) 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 (30)

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

  1. 2010 Flash Crash
    en.wikipedia.org · Wikipedia Editors
  2. Findings Regarding the Market Events of May 6, 2010
    sec.gov · U.S. Commodity Futures Trading Commission, U.S. Securities & Exchange Commission
  3. What Really Caused the Flash Crash
    cnbc.com · John Carney
  4. The 2010 'flash crash': how it unfolded
    theguardian.com · Jill Treanor, Philip Hensher
  5. Guy Trading at Home Caused the Flash Crash
    bloomberg.com · Matt Levine
  6. What happened during the Flash Crash?
    telegraph.co.uk · Andrew Trotman
  7. Why the Cause of the 2010 Stock Market Flash Crash Really Matters
    nautil.us · Chris Clearfield, James Owen Weatherall
  8. 2010 Flash Crash Arrest Motivated By Greed
    seekingalpha.com · Seeking Alpha
  9. 'Flash Crash' a Perfect Storm for Markets
    graphics.wsj.com · Roger Kenny, Bradley Hope, Tynan DeBold
  10. "The flash crash" five years later
    marketplace.org · Pencer Platt Getty Images, Mitchell Hartman
  11. What actually caused 2010 "Flash Crash"
    businessinsider.com · Mark Melin
  12. 2010 Flash Crash
    corporatefinanceinstitute.com · Corporate Finance Institute
  13. The 2010 Flash Crash
    gffbrokers.com · GFF Brokers
  14. Herding and flash events: Evidence from the 2010 Flash Crash
    sciencedirect.com · Rıza Demirera, Karyl B. Leggio, Donald Lien
  15. Herding and Flash Events: Evidence From the 2010 Flash Crash
    papers.ssrn.com · Riza Demirer, Karyl Leggio, Donald D. Lien

Who was involved

Alleged harmed party
Market Participants

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Intentional
Timing
Post-deployment
Harm level
none
Sectors
financial and insurance activities
Countries
—

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #28 on the AI Incident Database · all 30 reports