Description: A modified algorithm was able to cause dramatic price volatility and disrupted trading in the US stock exchange.
Alleged: Navinder Sarao , Waddell & Reed と Barclays Capital developed and deployed an AI system, which harmed Market Participants.
インシデントのステータス
インシデントID
28
レポート数
30
インシデント発生日
2010-05-08
エディタ
Sean McGregor
Applied Taxonomies
CSETv1 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
28
CSETv1_Annotator-1 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
28
CSETv1_Annotator-2 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
28
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
no
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2010
Date of Incident Month
The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank.
Enter in the format of MM
05
Date of Incident Day
The day on which the incident occurred. If a precise date is unavailable, leave blank.
Enter in the format of DD
06
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
CSETv0 分類法のクラス
分類法の詳細Physical System
Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
Software only
Level of Autonomy
The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
Medium
Nature of End User
"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
Amateur
Public Sector Deployment
"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
No
Data Inputs
A brief description of the data that the AI system(s) used or were trained on.
Stock Price, trading volume
Laws Implicated
Relevant laws under which entities involved in the incident may face legal liability as a result of the incident.