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Incident 405: Schufa Credit Scoring in Germany Reported for Unreliable and Imbalanced Scores

Description: Creditworthiness Schufa scores in Germany reportedly privileged older and female consumers, and people who changed addresses less frequently, and were unreliable depending on scoring version.

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Alleged: Schufa Holding AG developed and deployed an AI system, which harmed young men having credit scores , people scored on old scoring versions and people changing addresses frequently.

Incident Stats

Incident ID
405
Report Count
2
Incident Date
2018-11-28
Editors
Khoa Lam
Applied Taxonomies
MIT

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
 

1.1. Unfair discrimination and misrepresentation

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. Discrimination and Toxicity

Entity

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

AI

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
 

Unintentional

Incident Reports

Reports Timeline

+1
Schufa: This is how Germany's most influential credit agency works
What a report from Germany teaches us about investigating algorithms
Schufa: This is how Germany's most influential credit agency works

Schufa: This is how Germany's most influential credit agency works

spiegel.de

What a report from Germany teaches us about investigating algorithms

What a report from Germany teaches us about investigating algorithms

cjr.org

Schufa: This is how Germany's most influential credit agency works
spiegel.de · 2018
AI Translated

It was supposed to be a road trip, two weeks in a rental car through the USA. But when Sven Drewert wants to increase his credit card limit for the holidays, he gets a surprise. The bank declined the increase. The reason: His rating at the …

What a report from Germany teaches us about investigating algorithms
cjr.org · 2019

Reporting about large-scale finance decisions is difficult for any journalist—but a team of German investigative reporters has crowdsourced a major investigative story revealing flaws in a closely guarded credit scoring algorithm.

Most citi…

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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