GSMA Reveals Four Best Practices in Preparing for the Future of AI in Indonesia

JAKARTA - Recently, several countries around the world have been focusing on creating regulations regarding the development and use of artificial intelligence (AI) technology.

Based on a report published by GSMA at the Indonesia Digital Nations Summit in Jakarta some time ago, there are several best practices for preparing a future that supports Al.

First, the report states that, to produce good AI ethics, collaboration with various stakeholders including industry players, academics and innovators is a must for the Indonesian government.

In addition, the government is also recommended to collaborate with international partners, to produce a series of guidelines on the responsible use of AI in the region.

“There is an opportunity for Indonesia and other countries, particularly in the Asia Pacific, to benefit from a collaborative mechanism to design a common and mutually beneficial AI framework that can be applied across the region,” the report wrote.

In addition, it is also important to ensure that these AI-specific guidelines are consistent with existing laws to avoid duplication or conflicting requirements, especially regarding issues related to data privacy, security and bias.

“To keep pace with innovation, AI guidelines must be globally interoperable, durable and flexible. This means providing a framework for the continued evolution of AI systems without being limited to a specific technology or time period,” the report added.

On the other hand, the Indonesian government through the Ministry of Communication and Informatics is also working on a Circular Letter from the Minister of Communication and Information regarding Ethical Guidelines for Artificial Intelligence, which is planned to be released in mid-December.

Apart from that, the National Research and Innovation Agency (BRIN), Artificial Intelligence Research and Innovation Collaboration (KORIKA), Glair.ai, Datasaur.ai, and AI Singapore have also collaborated in building the Indonesian Language Large Language Model (LLM).