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As previously reported by TCA, Tajikistan is the only Central Asian country with a national strategy for the development of AI. In 2022, President Emomali Rahmon signed off a national strategy to achieve 5% of the GDP from developing artificial intelligence by 2040. On August 1, the Minister of Industry and New Technologies of Tajikistan, Sherali Kabir, announced at a press conference that work had begun in securing the first patent for the artificial intelligence algorithm 'zGAN' , developed by the local research laboratory of Tajikistan, and stated: “At a time when two-thirds of the world’s countries have yet to develop their national AI strategies, these steps highlight Tajikistan’s ambition to take a key position in technology and innovation." Referencing Tajikistan's progress in the field, Azizjon Azimi, chairman of the Council on AI under the Ministry of Industry, said more than 300 experts had been trained in artificial intelligence and its applications in the economy were expanding. "The leading case is using 'zGAN' algorithms for credit scoring. More than 30 banks in over ten countries have already implemented this algorithm by the Tajik fintech zypl.ai, which automatically issued loans worth over $200 million. To date, zypl.ai has attracted more than $3 million in private direct investment in the development of AI in Tajikistan." Azimi emphasized that in addition to the impact of 'zGAN' in the economic sphere, plans are in place for its application in agriculture, industry, and healthcare. He also reiterated that an agreement had been signed to develop AI programs for the Emirate of Ras al-Khaimah based on Tajikistan's national AI development strategy.
Kazakhstan is considering introducing artificial intelligence technologies in its legislation development and law analysis. This was recently announced at an international conference on AI and law, Elblog.pl reports. AI is expected to change the game in legislative efforts, helping in both its organizational and technical aspects. One of its most practical benefits is converting the words spoken by lawmakers into text. More sophisticated uses include drafting legislation and analyzing the impact on proposed laws without human bias. Kanatbek Safinov, director of the Institute of Parliamentarism of Kazakhstan, noted that AI tools could better allocate significant resources currently spent on the legislative process, such as drafting expert assessments. "The main task is to create artificial intelligence tools that would make it possible to assess the potential effectiveness of new legislation, thus freeing lawmakers from the hard work of formulating legal texts. This reorientation will allow them to focus on identifying and solving problems of concern to the public," Safinov believes. In his opinion, the European Parliament, especially its Greek division, is an ideal role model. The latter uses more than 200 AI tools, 33 of which are directly involved in the lawmaking process.
The National Bank of Kazakhstan has conducted a survey on the prospects for developing artificial intelligence (AI) in the country. The results of this survey showed that 31% of respondents who work in the finance industry are already using AI in their work. Analysts from the National Bank concluded that AI technologies are gaining popularity in Kazakhstan, with domestic banks becoming leaders in implementing AI in business processes. Among the most popular AI technologies in the Kazakhstani financial market are machine learning and computer vision -- as well as large language models (LLMs) and natural language processing. This indicates a wide range of innovative technologies are being applied to various financial activities. However, besides the sheer potential of the technologies, major barriers to further development of AI in the country have also been identified. These include lack of infrastructure and computing power, lack of security standards for AI products, difficulties in accessing data, and unreliable internet connections. The lack of an active national research and development (R&D) institute and low demand for AI products among potential customers were also cited.
