AI

Hong Kong's New AI Data Protection Framework Released

Hong Kong’s New AI Data Protection Framework Released

AI, Hong Kong |

The Office of the Privacy Commissioner for Personal Data (PCPD) in Hong Kong published the “Model Personal Data Protection Framework” for AI on 11 June 2024. This framework provides detailed recommendations for enterprises on procuring, implementing, and managing AI systems while ensuring data privacy. It emphasizes a risk-based approach, human oversight, and compliance with the Personal Data (Privacy) Ordinance (PDPO). The framework aims to promote ethical AI use, aligning with global standards and Hong Kong’s digital economy goals.

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CNIL launches new public consultation on practical guidelines for developing AI systems

CNIL launches new public consultation on practical guidelines for developing AI systems

AI, CNIL, DPA guidance, EU law, GDPR |

The CNIL launched a second public consultation on developing AI systems, releasing new practical guides and a questionnaire to help professionals balance innovation with privacy rights. These “AI how to sheets”, available for consultation until 1 September 2024, cover key issues like web scraping, open-source models, and data subjects’ rights. This follows initial recommendations published in April 2024, aiming to clarify GDPR application to AI.

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CNIL’s Recommendations on GDPR Compliance for AI Systems

CNIL’s Recommendations on GDPR Compliance for AI Systems

AI, CNIL, DPA guidance, EU law, GDPR |

On 7 June 2024 CNIL released the English translation of its recommendations for applying GDPR to AI system development (published in April), addressing the misconception that GDPR hinders AI innovation. These guidelines – “AI how-to Sheets” 1 to 7 – emphasize responsible handling of personal data, essential for model training. Key aspects include defining a clear objective for AI systems, determining responsibilities, establishing a legal basis for data processing, ensuring lawful data reuse, minimizing data usage, setting data retention periods, and conducting Data Protection Impact Assessments (DPIAs).

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Hamburg Commissioner Issues Guidance on Applicant Data Protection and Recruiting

AI, employees, Risk management |

The Hamburg Commissioner for Data Protection and Freedom of Information (HmbBfDI) has emphasized the importance of protecting personal data in the application process, especially with the rise of artificial intelligence. The position paper discusses the legal status and rights of applicants, highlights the need for clear definitions in recruiting, proper data storage in talent pools, and cautions against the use of AI for emotion analysis while outlining conditions for CV parsers. The document underscores the necessity for strict data protection measures to build candidate trust and minimize legal risks.

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Addressing AI Risks in the Workplace: Workers and Algorithms

AI, employees, Risk management |

On 3 June 2024, the European Parliamentary Research Service issued a briefing on the impact of algorithms and AI in the workplace. AI’s potential to transform work raises ethical concerns and challenges existing labour laws. The briefing highlights the tension between strict regulation and minimal oversight, exploring how AI improves productivity but poses risks like job loss and worker surveillance. It also discusses the EU’s legislative approach and the role of collective bargaining in managing these technologies. Despite some regulatory efforts, significant questions about AI’s workplace impact remain.

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