Getting data protection right in the digital omnibus

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      <subfield code="a">Key elements of the proposal supported by the European insurance and reinsurance sector -- Clarification of solely automated decision making -- Legal basis for AI training, including with sensitive data -- Clarification of the concept of personal data -- More effective data breach reporting -- Safeguards against abusive access requests -- Access to terminal equipment data for requested services -- What is missing for insurers -- More legal certainty on special categories of data in (re)insurance</subfield>
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      <subfield code="a">The document outlines the European insurance and reinsurance sector's position on the EU's Digital Omnibus Package to align GDPR with Europe's digital transformation. It supports clarifications on automated decision-making (Art. 22), a legal basis for AI training including sensitive data (Art. 88c; Art. 9(2)(k)), the concept of personal data, more effective data breach reporting (96-hour/high-risk threshold), safeguards against abusive access requests, and access to terminal equipment data for requested services. It recommends refining objections to AI training and clarifying sensitive data avoidance. It also calls for EU-level legal certainty for processing special categories of data (notably health data) needed for underwriting, claims, and reinsurance, suggesting reliance on GDPR Art. 9(2)(f) for legal claims.</subfield>
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      <subfield code="u">https://www.insuranceeurope.eu/news/3556/digital-omnibus-getting-data-protection-right</subfield>
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