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Advancing AI Ethics and Governance in Thailand

Puchphong Nodthaisong, Secretary-General of the National Digital Economy and Society Commission, recently met with officials from the Electronic Transactions Development Agency (ETDA) and the National Science and Technology Development Agency (NSTDA) to talk about how to put AI Ethics & Governance into action. The meeting was an encouraging first step towards promoting AI’s safe and ethical application in Thailand’s online economy and culture.

During the meeting, the Director of the Digital Technology Infrastructure Division, Teerawut Thongphak, discussed the goals, structure, and procedures for running an AI governance centre (AI GOVERNANCE CLINIC: AIGC).

They also considered bolstering the rollout of Thailand’s National Artificial Intelligence Action Plan for Development (2017-2027), particularly the strategy to ready the country’s culture, ethics, legal framework, and regulations for AI use.

Using AI in government enhances transparency and ensures all citizens have equal access to government initiatives and services. Getting ahead in AI requires becoming more in tune with the present and helping with resource management.

Recently, Thailand inaugurated The OpenAI HackFest event to revolutionise business with open AI. Artificial intelligence (AI) will dramatically boost productivity and supplement human labour across various industries, according to Nattapat Aikpol, chairman of the Digital Economy Promotion Agency (depa). As a result of the endeavour, new digital resources and approaches to problems in these areas will be developed.

He ensured that depa had systems to sell and support any technology or solutions that might arise from this effort. The depa Digital Startup Fund process will aid the organisation in transforming its ideas into a sustainable business.

Depa also provided Thailand’s top executives with insights from the world’s foremost experts in Blockchain, AI, finance tech, digital manufacturing, and cutting-edge corporate management. Participants explore advanced tech in the Digital Economy Promotion Leadership Programme (Digital CEO).

The initiative aims to increase the country’s economic competitiveness by developing the country’s next generation of digital leaders. Executives from both the public and private sectors have graduated from the Digital Economy Promotion Leadership Programme (Digital CEO) since its launch in 2018.

Strategies and plans in today’s digital economy will be influenced by technological progress. Therefore, a top goal should be building a solid community of influential corporate leaders who can analyse and rework their system for the country’s future.

Many nations have recently sponsored the development of AI. As a result, artificial intelligence has significantly impacted India’s educational system, making it mandatory in most state-run schools nationwide. For example, a public school in Raipur, Chhattisgarh, has announced that it will begin offering its students courses in robots, AI, and ML.

Courses in artificial intelligence and machine learning have been added to the curricula of several universities. The project’s robotics labs will allow students to study, among other things, the design, construction, and operation of robots, technical models, and electronic gadgets.

However, Stuart Russell, a Professor of Computer Science at the University of California, Berkeley and a leading expert in artificial intelligence, has argued that corporations need to change their approach to developing AI and that governments need to regulate AI to safeguard human interests. The idea was proposed to prevent the spread of harmful AI and to promote AI that benefits humankind.

The lack of transparency in AI systems, such as AI-enabled generative tools, prompted him to raise this concern. It’s concerning because it’s unclear what, if anything, these AI technologies are attempting to accomplish on their own. Whether our goals are consistent with theirs, or even if they can be achieved at all, remains open. In light of this, he suggested rethinking AI concepts like goal-presupposing planning, reinforcement learning, and supervised learning.


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