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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