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Incident 119: Xsolla Employees Fired by CEO Allegedly via Big Data Analytics of Work Activities

Description: Xsolla CEO fired more than a hundred employees from his company in Perm, Russia, based on big data analysis of their remote digitized-work activity, which critics said was violating employee's privacy, outdated, and extremely ineffective.

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Entities

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Alleged: unknown developed an AI system deployed by Xsolla, which harmed Xsolla employees.

Incident Stats

Incident ID
119
Report Count
4
Incident Date
2021-08-03
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv1, GMF, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

119

AI Tangible Harm Level Notes

Notes about the AI tangible harm level assessment
 

Big data analytics was used for the harm. AI is not equivalent to big data analytics.

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
 

2021

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
 

07

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
 

31

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

5.2. Loss of human agency and autonomy

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Human-Computer Interaction

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceXsolla fires 150 employees using big data and AI analysis, CEO’s letter causes controversyXsolla fires 150 employees based on big data analysis of their activity – “Many of you might be shocked, but I truly believe that Xsolla is not for you.”+1
Game payment company Xsolla fires 150 employees via controversial email
Xsolla fires 150 employees using big data and AI analysis, CEO’s letter causes controversy

Xsolla fires 150 employees using big data and AI analysis, CEO’s letter causes controversy

gameworldobserver.com

Xsolla fires 150 employees based on big data analysis of their activity – “Many of you might be shocked, but I truly believe that Xsolla is not for you.”

Xsolla fires 150 employees based on big data analysis of their activity – “Many of you might be shocked, but I truly believe that Xsolla is not for you.”

mcvuk.com

Game payment company Xsolla fires 150 employees via controversial email

Game payment company Xsolla fires 150 employees via controversial email

nme.com

Xsolla fires 150 employees following AI-based productivity audit

Xsolla fires 150 employees following AI-based productivity audit

gamedaily.biz

Xsolla fires 150 employees using big data and AI analysis, CEO’s letter causes controversy
gameworldobserver.com · 2021

Russian payment services company Xsolla has fired 150 employees at once. What caused controversy wasn’t the staff reduction itself but the CEO’s letter, in which he tried to explain the reason behind this decision.

The email written by Xsol…

Xsolla fires 150 employees based on big data analysis of their activity – “Many of you might be shocked, but I truly believe that Xsolla is not for you.”
mcvuk.com · 2021

Payment services company Xsolla has reportedly fired 150 of its employees, with workers in the company’s office in Perm, Russia being terminated based on big data analysis of their activity (via Game World Observer).

Making the situation wo…

Game payment company Xsolla fires 150 employees via controversial email
nme.com · 2021

150 people have been fired from Xsolla – a game payment company used by Steam, the Epic Games Store and other game developers – via a controversial email from CEO and founder Aleksandr Agapitov.

Agapitov contacted 150 fired employees throug…

Xsolla fires 150 employees following AI-based productivity audit
gamedaily.biz · 2021

The news raises a number of ethical questions that are especially pertinent in a pandemic-stricken working environment.

Xsolla, the Russia-based games industry payment solution provider, has reportedly laid off upwards of 150 employees foll…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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