Securiti launches Gencore AI, a holistic solution to build Safe Enterprise AI with proprietary data - easily

View

An Overview of Hong Kong Artificial Intelligence: Model Personal Data Protection Framework

In this whitepaper, you will learn:

  • Model Framework, ethical principles for AI, and three data stewardship values
  • Model Framework and compliance with Personal Data Protection Ordinance
  • Recommended measures for organizations procuring AI systems
  • How Securiti can help ensure swift compliance

DOWNLOAD WHITE PAPER


The Hong Kong Privacy Commissioner's Office published the "Guidance on the Ethical Development and Use of AI" in August 2021, urging organizations handling personal data with AI systems to adopt ethical principles. The emergence of AI systems, such as Large Language Models (LLMs), has prompted several small and medium-sized enterprises to purchase AI solutions from vendors rather than build them from scratch.

In response to recent AI developments, the Hong Kong Privacy Commissioner's Office released the "Artificial Intelligence: Model Personal Data Protection Framework" on June 11, 2024. This framework provides best practice recommendations for organizations handling personal data, particularly those procuring AI solutions from third-party developers or vendors and those customizing or operating AI systems, including generative and predictive AI systems.

This whitepaper provides an overview of the Model Framework and elaborates on the application of ‘Ethical Principles for AI’ and three ‘Data Stewardship Values’ for organizations handling personal data. It also addresses compliance obligations under the Hong Kong Personal Data Protection Ordinance (PDPO) and details recommended measures. Learn how Securiti helps ensure swift compliance with the Model Framework.

An Overview of Hong Kong Artificial Intelligence

Award-winning technology, built by a proven team, backed by confidence. Learn more.


Frequently Asked Questions

The Hong Kong Artificial Intelligence: Model Personal Data Protection Framework is a set of best practice recommendations for organizations handling personal data. It focuses on ethical AI principles, data stewardship values, and compliance with the Hong Kong Personal Data Protection Ordinance (PDPO).

The Hong Kong Personal Data (Privacy) Ordinance (PDPO) is a legal framework that governs the protection of personal data privacy in Hong Kong. It sets out the obligations of data users and the rights of data subjects. Learn more about Hong Kong PDPO.

The Model Framework states that organizations sourcing third-party AI solutions must develop policies and procedures to protect personal data in compliance with the PDPO and comply with Data Stewardship Values and Ethical Principles for AI. Key areas for these policies and procedures include AI strategy and governance, risk assessment and human oversight, customization of AI models and implementation and management of AI systems, and communication and engagement with stakeholders.

All-in-One Solution For Your Business Needs

The Multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations

Securing Finance: Essential Data Protection Laws for Financial Institutions

Understand key financial data protection regulations, types of personal and financial data covered, and the penalties for non-compliance in this comprehensive whitepaper.

The Definitive Guide to Building Safe Enterprise AI

Download the essential guide to building secure enterprise AI: create safe AI Copilots, securely sync data, curate data for training, and protect interactions with LLM firewalls.

Think Beyond Data Classification: Unlock Contextual Data+AI Intelligence

Download the whitepaper to discover how Securiti’s Data Command Graph provides contextual intelligence for safe, compliant data and AI usage. Learn to detect risks, meet regulatory requirements, and fuel innovation with secure, responsible AI.

The EU Digital Market & Its Laws

Securiti's infographic provides a detailed overview of the most important details related to the EU Digital Market and the various EU regulations contained within it.

A Comparative Analysis of India’s DPDPA vs EU’s GDPR

Gain a comparative analysis of India’s Digital Personal Data Protection Act (DPDPA) and the European Union's General Data Protection Regulations (GDPR).

Automated Decision-Making under GDPR and CPRA – A Comparative Analysis

Explore the comparative analysis of automated decision-making under GDPR and CPRA. Learn how Securiti helps ensure compliance with automated decision-making and profiling technology.

6 Considerations Before Buying DSPM

Explore 6 essential strategies for effective Data Security Posture Management (DSPM) and learn how to enhance your data security and AI integration with proven insights from successful implementations.

An Overview of Indonesia’s Data Privacy and Cybersecurity Landscape

Download the whitepaper to gain insights into Indonesia’s evolving data privacy, cybersecurity, and GenAI landscape.

An Overview of UAE’s Data Privacy & Cybersecurity Landscape

This whitepaper delves into the intricate tapestry of data privacy and cybersecurity within the UAE, offering a comprehensive exploration of the regulatory data privacy frameworks.

Evolving Data Dunes: Navigating Data Privacy and Cybersecurity in the Middle East

Download the whitepaper to gain insights into the Middle East's evolving data privacy, cybersecurity and GenAI landscape.

What's
New