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2.
|
A detailed description of the elements of the AI system and of
the process for its development, including:
|
(a)
|
the methods and steps performed for the development of
the AI system, including, where relevant, recourse to
pre-trained systems or tools provided by third parties
and how those were used, integrated or modified by the
provider;
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|
(b)
|
the design specifications of the system, namely the
general logic of the AI system and of the algorithms;
the key design choices including the rationale and
assumptions made, including with regard to persons or
groups of persons in respect of who, the system is
intended to be used; the main classification choices;
what the system is designed to optimise for, and the
relevance of the different parameters; the description
of the expected output and output quality of the system;
the decisions about any possible trade-off made
regarding the technical solutions adopted to comply with
the requirements set out in Chapter III,
Section 2;
|
|
(c)
|
the description of the system architecture explaining
how software components build on or feed into each other
and integrate into the overall processing; the
computational resources used to develop, train, test and
validate the AI system;
|
|
(d)
|
where relevant, the data requirements in terms of
datasheets describing the training methodologies and
techniques and the training data sets used, including
a general description of these data sets,
information about their provenance, scope and main
characteristics; how the data was obtained and selected;
labelling procedures (e.g. for supervised learning),
data cleaning methodologies (e.g. outliers detection);
|
|
(e)
|
assessment of the human oversight measures needed in
accordance with Article 14, including an assessment
of the technical measures needed to facilitate the
interpretation of the outputs of AI systems by the
deployers, in accordance with Article 13(3), point
(d);
|
|
(f)
|
where applicable, a detailed description of
pre-determined changes to the AI system and its
performance, together with all the relevant information
related to the technical solutions adopted to ensure
continuous compliance of the AI system with the relevant
requirements set out in Chapter III,
Section 2;
|
|
(g)
|
the validation and testing procedures used, including
information about the validation and testing data used
and their main characteristics; metrics used to measure
accuracy, robustness and compliance with other relevant
requirements set out in Chapter III,
Section 2, as well as potentially discriminatory
impacts; test logs and all test reports dated and signed
by the responsible persons, including with regard to
pre-determined changes as referred to under point (f);
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|
(h)
|
cybersecurity measures put in place;
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