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GDPR compliance checklist

IBM Journey to AI blog

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. The EEA includes all 27 EU member states plus Iceland, Liechtenstein and Norway. Schools, hospitals and government agencies all fall under GDPR authority.

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How to implement the General Data Protection Regulation (GDPR)

IBM Journey to AI blog

The EEA includes all 27 EU member states plus Iceland, Liechtenstein, and Norway. Identify and protect special category data When inventorying data, organizations should make a note of any especially sensitive data that requires extra protection. Each EEA state sets its own definition of “child” under the GDPR.

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“Artificial Intelligence Act “— EU attempts to tame the tech dragon

Mlearning.ai

Privacy and data governance 4. The AI Act classifies AI systems into four categories, EU AI Act is based on risk categorization (Image by author) EU AI Act: What it could mean for Financial Services Industry The provisions of the act are not expected to impact most of the core business of Banks, but only the AI systems which are high risk.

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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Journey to AI blog

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. The term governance can be slippery.

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The new EU AI Act: Contents, Technologies, Penalties, and What it Means for Companies

Mlearning.ai

Content and scope The Act is the key set of rules on AI , even if other rules such as the GDPR , Digital Markets Act , Digital Services Act , Data Governance Act , and Data Act also apply or will apply to AI applications. EU digital regulatory framework: AI Act, Data Act, Data Governance Act, EHDS, Digital Markets Act, Digital Services Act.

AI 98
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Build a classification pipeline with Amazon Comprehend custom classification (Part I)

AWS Machine Learning Blog

Document categorization or classification has significant benefits across business domains – Improved search and retrieval – By categorizing documents into relevant topics or categories, it makes it much easier for users to search and retrieve the documents they need. They can search within specific categories to narrow down results.

AWS 95
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Text Classification Using Machine Learning Algorithm in R

Heartbeat

Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content. After being trained on a large corpus of data with predefined categories, the model learns to predict the appropriate category based on the text content.