Ensure compliance with PDPL: Organizations should review and update their data protection practices to meet the PDPL requirements, including annual compliance assessments and technical safeguards.

Ensure GDPR Compliance: Developers and managers should use the CNIL's how-to sheets to integrate GDPR principles into AI systems from the start. Frequently Asked Questions What guidance does the ...

Ensure robust data protection measures: Organizations should carefully design and implement agentic AI systems to mitigate data protection risks and leverage innovation opportunities.

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Vietnam's Ministry of Information and Communications announced Decision 964/QD-TTg, approving the National Cybersecurity and Safety Strategy with a vision to 2030. The strategy aims to protect ...

The Department of Personal Data Protection ('PDP') issued, on 10 December 2022, a statement on the possible data breach of passengers and staff of Air Asia Com Travel Sdn Bhd. In particular, the PDP ...

Engage with the Data Barometer: Stakeholders should utilize the data barometer results to inform their data protection policies and practices. Frequently Asked Questions What is the data barometer ...

Review GDPR Compliance: Organizations should review their GDPR compliance practices in light of potential changes proposed by the Digital Omnibus. Frequently Asked Questions What emphasis does the ...

On July 17, 2024, the California Department of Technology updated the Privacy Threshold Assessment and Privacy Impact Assessment form (PTA and PIA form). Originally ...

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Implement Bias Mitigation: Organizations should adopt the outlined methods to detect and reduce bias in AI systems to ensure fairness and accuracy. Frequently Asked Questions What is a pre-processing ...

The UK's financial services regulators, including the FCA and PRA, are adopting a technology-neutral, principles-based approach to AI regulation, emphasizing the balance between AI's transformative ...