View code on Github
Form for inventarisation. Under development. Please add suggestions in the margin.
name
What is the colloquial name used to identify this algorithm? Example: 'WMO prediction Rotterdam' or 'Crowd-monitoring Enschede'.
organization
What is the full name of the organization used to identify responsibility for use of the model, algorithm or AI? Example: 'City of Amsterdam' or 'Water Authority Limburg '.
department
What is the full name of the department or division used to specify responsibility for use of the model, algorithm or AI? Example: 'District Segbroek' or 'Traffic and transport'.
description_short
Please give a short description of maximum 150 chars in order to give a quick overview of the purpose of the model, algorithm or AI. Example: 'The traffic light priority algorithm prioritises traffic modalities based on applicable law and local regulations'.
type
Please indicate wether the model, algorithm or AI is descriptive, diagnostic, predictive or prescriptive. This information can be used as a possible risk indicator.
category
Please provide keywords to facilitate search. Examples: 'traffic', 'transport', 'social security', 'crowd-monitoring', 'facial recognition', 'camera surveillance'.
website
What is the URL reference to the landing page with further information about the model, algorithm or AI and its use? This facilitates users searching more in-depth information about the practical use or technical details.
status
Please indicate wether the model, algorithm or AI is in development, in use, or archived.
goal
Please describe the goal of the policy for which the model, algorithm or AI was developed and how the technology contributes to reaching that goal. It should become clear why it is likely that this specific technology will help reach the goal.
impact
Please describe in what way citizens come into contact with the effects of the model, algorithm or AI. It should become clear under what specific circumstances this happens and what the expected consequences are on an individual and/or societal level.
proportionality
Please describe why the authority by which the model, algorithm or AI is used is reasonably necessary. It should explain why the expected benefit outweighs any potential expected harm.
decision_making_process
What is the official process in the organisation in which the model, algorithm or AI is involved. It should refer to concrete laws, regulation or policy, as published in publicly available sources.
documentation
Please provide a URL reference to any extended information about the use of the model, algorithm or AI within this specific use case.
description
Please provide an extensive description between 500 and 10000 chars in which the inner workings of the model, algorithm or AI are explained. It should detail all relevant aspects that are needed to understand how the model, algorithm or AI processes data and feeds decision making.
application_url
Please provide the URL reference to the algorithmic application or code base. Examples are links to a Github repository, the Common Ground Component Catalogue or supplier documentation.
publiccode
What is the URL reference to the the PublicCode.yml standard if available?
MPRD
Please indicate wether a connection is being made to the Municipal Personal Records Database.
source_data
Please give an overview of the data that is being processed by the model, algorithm or AI. It should describe the pupose with which each data source is added and possible dependencies that resulting from this.
methods_and_models
Please indicate which standard methods or models the algorithm is using. Examples: ROC-curve, confusion matrix.
monitoring
Please give a general overview of how the competent authority monitors the implementation of the model, algorithm or AI.
human_intervention
Please describe how the outcomes of the model, algorithm or AI can be intervened by humans. It should detail how the responsibility for possible human intervention is secured, so it's clear who can and may act.
risks
Please provide an overview of the outcome of the internal risk analysis. It can also refer to available online documentation. We currently refer to the assessment framework for algorithms by the Netherlands Court of Audit and the Regulation on a European Approach for Artificial Intelligence.
performance_standard
Please describe what the expected performance of the model, algorithm or AI is and how it is measured. It should detail which criteria are used and the frequency with which the performance is monitored.
competent_authority
What is the legal entity responsible for deployment of the model, algorithm or AI?
lawful_basis
Please provide a link to the administrative act that makes the use of the model, algorithm or AI legitimate.
DPIA
Has a data protection impact assessment been carried out?
DPIA_description
Please give an overview of the key points from the data protection impact assessment. It should explain how discrimination is prevented when (proxies of) ethnicity, sex or zipcode are being used. If available it can reference the URL to the full DPIA documentation.
objection_procedure
Please describe in what way can citizens object against the use or outcome of the model, algorithm or AI.
schema
This is the schema used for this entry.
id
This is the Universal Unique Identifier for this entry.
url
This is the URL for this entry.
contact_email
This is the e-mail address of the organisation or contact person for this entry.
area
This is the geographical area to which this entry applies.
lang
This is the language in which this entry was filled.
revision_date
This is the date before which this entry has to be revisited.