04/29/2024 | News release | Distributed by Public on 04/29/2024 18:29
With the rapid evolution of artificial intelligence (AI) technology, the regulatory frameworks for AI in the Asia-Pacific (APAC) region continue to develop quickly. Policymakers and regulators have been prompted to consider either reviewing existing regulatory frameworks to ensure their effectiveness in addressing emerging risks brought by AI, or proposing new, AI-specific rules or regulations. Overall, there appears to be a trend across the region to promote AI uses and developments, with most jurisdictions focusing on high-level and principle-based guidance. While a few jurisdictions are considering regulations specific to AI, they are still at an early stage. Further, privacy regulators and some industry regulators, such as financial regulators, are starting to play a role in AI governance.
This blog post provides an overview of various approaches in regulating AI and managing AI-related risks in the APAC region.
Several jurisdictions in the region are moving toward AI-specific regulations, including the People's Republic of China (hereinafter referred to as China), South Korea, and Taiwan.
Other jurisdictions in the APAC region take a voluntary approach for the moment, relying on non-binding principles and guidelines as well as existing laws to address AI-related issues. Such jurisdictions include Australia, Japan, Singapore, India, Hong Kong, Thailand and Vietnam.
For instance, Australia has so far taken a soft-law approach. Australia's AI Ethics Principles were published in 2019, setting out principles for certain aspects in relation to AI governance, including fairness, privacy protection and security, reliability and safety, transparency and explainability, and accountability. Similarly, Japan has no comprehensive AI-specific regulation but only provides non-binding guidance. Singapore, India, Hong Kong, Thailand and Vietnam also have their own AI-related guidelines.
In addition to non-binding guidelines, some regulators also provide practical tools for AI services. For instance, Singapore launched an AI governance testing framework and toolkit in May 2022 and the initiative of a generative AI evaluation sandbox in October 2023, providing a common baseline of evaluation testing methods and benchmarks to assess generative AI products.
In these jurisdictions that have not yet issued specific AI regulations, enforcement in relation to AI could be carried out under existing laws. For instance, in order to understand the implications of the development and use of AI on data privacy in Hong Kong, the privacy regulator of Hong Kong - the Office of the Privacy Commissioner for Personal Data (PCPD) - carried out compliance checks on 28 organizations from August 2023 to February 2024 to understand their practices regarding the collection, use and processing of personal data in the development or use of AI, as well as their AI governance structure. Some jurisdictions have started to experiment with the best approach to regulate AI services, even though AI regulations are not in place yet. For instance, India's regulator - the Ministry of Electronics and Information Technology - issued a non-binding advisory on March 1, 2024, asking all AI tools (including AI models, software using generative AI or any algorithms) currently being tested, in development or are potentially unreliable, to seek approval from the government before being released to the public. However, the requirement mandating government approval of AI tools was soon withdrawn by an advisory issued later in that month.
The fast development of AI technologies certainly poses new regulatory challenges for APAC governments. With China being the first jurisdiction to adopt AI-specific regulations, there will still be uncertainties going forward regarding how other regulators in the APAC region will address the risks brought by AI. It will be sensible for companies that develop or deploy AI technologies in the APAC region to closely monitor these developments and be prepared.
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This blog post was written with contributions from Shutaro Kuwahara.
This information is not intended as legal advice. Readers should seek specific legal advice before acting with regard to the subjects mentioned herein.