The Classification of Classifiers

Amsterdam has a public registry of algorithms that is a very promising example of civic transparency and algorithm/AI accountability. Recorded here for posterity are the considerations listed in this catalog today (late 2020) and their descriptions:

Datasets
Key data sources utilised in the development and use of the system, their content and utilisation methods.
Data processing
The operational logic of the automatic data processing and reasoning performed by the system and the models used.
This includes architecture overview, source code, and performance measurement.
Non-discrimination
Promotion and realisation of equality in the use of the service.
Human oversight
Human oversight during the use of the service.
Risks
Risks related to the system and its use and their management methods.

I posted this in December 2020 during week 2442.

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