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f2e1364b43
* Fix directory issue when running tests for first time * Initial version of data minimization * Update version and documentation * Fix documentation
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1.3 KiB
ReStructuredText
41 lines
1.3 KiB
ReStructuredText
.. ai-privacy-toolkit documentation master file, created by
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sphinx-quickstart on Mon Feb 15 12:42:20 2021.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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Welcome to ai-privacy-toolkit's documentation!
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==============================================
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This project provides tools for assessing and improving the privacy and compliance of AI models.
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The anonymization module contains methods for anonymizing ML model
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training data, so that when a model is retrained on the anonymized data, the model itself will also be
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considered anonymous. This may help exempt the model from different obligations and restrictions
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set out in data protection regulations such as GDPR, CCPA, etc.
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The minimization module contains methods to help adhere to the data
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minimization principle in GDPR for ML models. It enables to reduce the amount of
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personal data needed to perform predictions with a machine learning model, while still enabling the model
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to make accurate predictions. This is done by by removing or generalizing some of the input features.
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.. toctree::
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:maxdepth: 2
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:caption: Getting Started:
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source/quick_start
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.. toctree::
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:maxdepth: 2
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:hidden:
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:caption: API
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source/apt
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Indices and tables
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==================
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* :ref:`genindex`
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* :ref:`modindex`
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* :ref:`search`
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