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2 changes: 1 addition & 1 deletion v3.0/index.html
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<h1 id="ai">AI</h1>
<h2 id="summary">Summary</h2>
<p>The AI Profile is designed to provide a standardized way of documenting and sharing information about AI software packages (i.e. systems).</p>
<h2 id="description">Description</h2>
<p>The AI namespace defines a set of concepts and data elements related to AI system and model artifacts. These artifacts are the tangible outputs of the AI development process, such as software packages, models, and datasets.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI</code></p>
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4 changes: 2 additions & 2 deletions v3.0/model/AI/Classes/AIPackage/index.html
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<h1 id="aipackage">AIPackage</h1>
<h2 id="summary">Summary</h2>
<p>Specifies an AI package and its associated information.</p>
<h2 id="description">Description</h2>
<p>Metadata information that can be added to a package to describe an AI application or trained AI model.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/AIPackage</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/AIPackage</code></p>
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<h1 id="autonomytype">autonomyType</h1>
<h2 id="summary">Summary</h2>
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<p>Indicates if a human is involved in any of the decisions of the AI system
or if that system is fully automatic.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/autonomyType</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/autonomyType</code></p>
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4 changes: 2 additions & 2 deletions v3.0/model/AI/Properties/domain/index.html
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<h1 id="domain">domain</h1>
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<p>A free-form text that describes the domain where the AI model contained in the AI software
can be expected to operate successfully. Examples include computer vision, natural language processing, etc.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/domain</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/domain</code></p>
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<h1 id="energyconsumption">energyConsumption</h1>
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(e.g. number of floating point operations – FLOPs), training time, type and quantity of processing units,
and other relevant details related to the training.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/energyConsumption</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/energyConsumption</code></p>
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<h1 id="hyperparameter">hyperparameter</h1>
<h2 id="summary">Summary</h2>
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<p>Examples of hyperparameters include learning rate, batch size, and the number
of layers in a neural network.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/hyperparameter</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/hyperparameter</code></p>
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<h1 id="informationaboutapplication">informationAboutApplication</h1>
<h2 id="summary">Summary</h2>
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software libraries, and operating systems.</li>
</ul>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/informationAboutApplication</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/informationAboutApplication</code></p>
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<h1 id="informationabouttraining">informationAboutTraining</h1>
<h2 id="summary">Summary</h2>
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during the training process, including accuracy, precision, recall, and F1 score.</li>
</ul>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/informationAboutTraining</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/informationAboutTraining</code></p>
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<h1 id="limitation">limitation</h1>
<h2 id="summary">Summary</h2>
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Note that this is not guaranteed to be exhaustive.
For instance, a limitation might be that the AI package cannot be used on datasets from a certain demography.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/limitation</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/limitation</code></p>
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<h1 id="metric">metric</h1>
<h2 id="summary">Summary</h2>
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This makes statements about the prediction quality including uncertainty,
accuracy, characteristics of the tested population, quality, fairness, explainability, robustness etc.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/metric</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/metric</code></p>
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<h1 id="metricdecisionthreshold">metricDecisionThreshold</h1>
<h2 id="summary">Summary</h2>
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if the probability of the outcome is larger than 0.5.
Each decision threshold should match with a metric field defined in the AI package.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/metricDecisionThreshold</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/metricDecisionThreshold</code></p>
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<h1 id="modeldatapreprocessing">modelDataPreprocessing</h1>
<h2 id="summary">Summary</h2>
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<p>A free-form text that describes the preprocessing steps
applied to the training data before training of the model(s) contained in the AI software.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/modelDataPreprocessing</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/modelDataPreprocessing</code></p>
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<h1 id="modelexplainability">modelExplainability</h1>
<h2 id="summary">Summary</h2>
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<p>A free-form text that lists the different explainability mechanisms
(such as SHAP, or other model specific explainability mechanisms) that can be used to explain the model.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/modelExplainability</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/modelExplainability</code></p>
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<h1 id="safetyriskassessment">safetyRiskAssessment</h1>
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<p>It is important to note that this categorization differs from the one proposed in the
EU AI Act's provisional agreement.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/safetyRiskAssessment</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/safetyRiskAssessment</code></p>
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<h1 id="standardcompliance">standardCompliance</h1>
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<p>This includes both published and unpublished standards, such as those developed by ISO, IEEE, and ETSI.</p>
<p>The standard may, but is not necessarily required to, satisfy a legal or regulatory requirement.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/standardCompliance</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/standardCompliance</code></p>
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<h1 id="typeofmodel">typeOfModel</h1>
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<p>A free-form text that records the type of the AI model(s) used in the software.
For instance, if it is a supervised model, unsupervised model, reinforcement learning model or a combination of those.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/typeOfModel</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/typeOfModel</code></p>
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<h1 id="usesensitivepersonalinformation">useSensitivePersonalInformation</h1>
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This might include biometric data, addresses or other data that can be used to infer a person's identity.</p>
<p>Related: <code>hasSensitivePersonalInformation</code> in <code>/Dataset/DatasetPackage</code></p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/useSensitivePersonalInformation</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/useSensitivePersonalInformation</code></p>
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<h1 id="safetyriskassessmenttype">SafetyRiskAssessmentType</h1>
<h2 id="summary">Summary</h2>
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The methodology implements Article 20 of Regulation (EC) No 765/2008 and is intended to assist
authorities when they assess general product safety compliance.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/AI/SafetyRiskAssessmentType</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/AI/SafetyRiskAssessmentType</code></p>
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<p>All relationships in the Build Profile are scoped to the "build" LifecycleScopeType period.</p>
<p>The <code>hasInputs</code> relationship can be applied to a config file or a build tool if the nature of these inputs are not known at the creation of an SPDX document.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/Build</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/Build</code></p>
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<p>ExternalIdentifier of type "urlScheme" may be used to identify build logs. In this case, the comment of the ExternalIdentifier should be "LogReference".</p>
<p>Note that buildStartTime and buildEndTime are optional, and may be omitted to simplify creating reproducible builds.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/Build/Build</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/Build/Build</code></p>
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<!-- Automatically generated by spec-parser v2.0.0 on 2024-04-06T19:57:18.363576+00:00 -->
<!-- SPDX-License-Identifier: Community-Spec-1.0 -->
<h1 id="buildendtime">buildEndTime</h1>
<h2 id="summary">Summary</h2>
<p>Property that describes the time at which a build stops.</p>
<h2 id="description">Description</h2>
<p>buildEndTime describes the time at which a build stops or finishes. This value is typically recorded by the builder.</p>
<h2 id="metadata">Metadata</h2>
<p><code>https://rdf.spdx.org/v3/Build/buildEndTime</code></p>
<p><code>https://spdx.org/rdf/3.0.0/terms/Build/buildEndTime</code></p>
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