Austria AMS employment service job seeker predictions

The so-called "AMS algorithm" was developed in 2018 by Austria's Public Employment Service (Arbeitsmarktservice or "AMS") to predict a job seeker’s employment prospects and allocate appropriate forms of support to them.

The system works by automatically classifying job seekers and calculating individual 'IC' scores based on their gender, age, citizenship, education, health, care obligation and work experience, amongst other factors, to determine their relative employability. 

It then assigns them to one of three possible prospective employability groups - A (High), B (Medium), or C (Low) - with those in the lowest category denied access to expensive training courses. Job seeker scores can be petitioned against and overriden by human case workers. 

The system was supposed to go into regular operation on January 1, 2021, but the start was delayed due to the COVID-19 pandemic.

System 🤖

Documents 📃

System info 🔢

Operator: Public Employment Service (AMS)
Developer: Synthesis Forschung; Public Employment Service (AMS)
Country: Austria

Sector: Govt - employment

Purpose: Assess employability

Technology: Prediction algorithm
Issue: Bias/discrimination - gender, disability, age, location; Privacy

Transparency: Black box

Transparency and accountability 🙈

Several transparency and accountability limitations have been associated with Austria's AMS algorithm:

Risks and harms 🛑

Austria’s AMS algorithm has been criticised for mainfesting several forms of discrimination and for reinforcing structural prejudices and stereotypes, failing to capture or analyse soft skills and motivations, violating privacy, and exhibiting poor transparency.

Incidents and issues 🔥

Research, advocacy 🧮

Page info
Type: System
Published: February 2023
Last updated: August 2024