Changelog Master Feed Suspicion machines ⚙️ (Practical AI #248)
Dec 5, 2023
In this podcast, the hosts discuss the problems arising from the use of machine learning algorithms in welfare systems across Europe. They explore 'suspicion machines' that generate suspicion of certain groups in need of welfare benefits. The podcast also delves into a case study on a model deployed by Rotterdam to detect fraud, including the limitations of the dataset and the impact of being flagged for investigation. The speakers discuss the process of building a predictive model for Rotterdam and the challenges and questions surrounding systems with probabilistic assessment.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Suspicion Machines in Welfare Systems
01:50 • 13min
Exploring a Model for Identifying Potential Fraudsters
14:25 • 9min
Limitations of the data set and the impact of being flagged for investigation
23:16 • 6min
Building a Predictive Model for Rotterdam
28:50 • 14min
Challenges and Questions Surrounding Systems with Probabilistic Assessment
43:00 • 4min