The EU and its member states have dispatched officials for talks on governing the use of AI with at least 10 Asian countries including India, Japan, South Korea, Singapore and the Philippines, they said. The bloc aims for its proposed AI Act to become a global benchmark on the booming technology the way its data protection laws have helped shape global privacy standards. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites. If this does not resolve the issue or you are unable to add the domains to your allowlist, please see this FAQ.

There has been a rapid increase in the adoption and development of artificial intelligence across the globe. Business platforms are depending on AI for better growth, efficiency, and digital transformation. Cutting-edge technologies like 5G will escalate the use cases of AI across industries. According to McKinsey Global Survey 2020, 50% of respondents reported that their companies have adopted AI in at least one business function. The global leaders in AI adoption, research, and development include Asian countries like China, Singapore, and Japan.

With the introduction of new technology, skill in the workplace is significant and since the fourth industrial revolution, adoption of automation and artificial intelligence (AI) marks an acceleration over the shifts of even the recent past. The requirement of skills, for instance, technological, social and emotional skills which are in demand as well as physical and manual skills, will drop at the modern workplace. These changes will require employees to develop their existing skill sets to the expected level or acquire new ones. Companies need to think how work is organised within their organisations with the latest technological changes. How do workforce skills change with automation?

China's support and focus for the emerging AI industry, as well as its goal of becoming a world leader in artificial intelligence by 2030, comes from a source that the country takes very seriously -- government policy. Thus, China's possible domination of the AI sphere within the next 12 years could be the result of the nation using its strengths and weaknesses as a means to propel itself into the forefront of intelligent tech. Kai-Fu Lee, an AI investor that helps tech startups get off the ground through his $1.8-billion dual-currency venture fund Sinovation Ventures, recently noted in a statement to WIRED that China's goal of becoming the world leader in AI-driven solutions by 2030 is achievable because the target is literally a policy from the state. According to Lee, China's government has the capability to implement policies that are followed to a fault by both the country's citizens and its business sector. The AI investor also noted that this system is difficult to replicate in other countries trying to dominate the AI field, such as the United States, due to the West's democracy-driven nature.

Universities in China and elsewhere in Asia are belatedly joining global alliances to promote ethical practices in artificial intelligence or AI, which were previously being studied in university research centres in a fragmented way. Countries like South Korea, Japan, China and Singapore are making huge investments in AI research and development, including the AI interface with robotics and are in some areas rapidly narrowing the gap with the United States. But crucially there are still no international guidelines and standards in place for ethical research, design and use of AI and automated systems. China's universities in particular are turning out a large number of researchers specialising in AI. Whereas in the past they would head for Silicon Valley in the US, many are now opting to stay in the country to work for home-grown technology giants such as Alibaba, Tencent and Baidu – companies which gather and use huge amounts of consumer data with few legal limits.

Focusing on what you know best often makes the most sense. In an interview with VentureBeat's editor in chief, Blaise Zerega, Line CEO Takeshi Idezawa explained his decision to focus on four Asian markets: Japan, Taiwan, Thailand, and Indonesia. A few years ago, Line sought to enter Western markets. The messaging app known for cute anime stickers encountered stiff competition from overlapping services in an overcrowded market -- from WhatsApp to Snapchat, from Twitter to Instagram, from iMessage and SMS, as well as China's WeChat, to say nothing of Facebook Messenger. Line scaled back its expansion, shelved a planned IPO, and narrowed its focus to four Asian markets.

Online social networking tools are used around the world by people to ask questions of their friends, because friends provide direct, reliable, contextualized, and interactive responses. However, although the tools used in different cultures for question asking are often very similar, the way they are used can be very different, reflecting unique inherent cultural characteristics. We present the results of a survey designed to elicit cultural differences in people’s social question asking behaviors across the United States, the United Kingdom, China, and India. The survey received responses from 933 people distributed across the four countries who held similar job roles and were employed by a single organization. Responses included information about the questions they ask via social networking tools, and their motivations for asking and answering questions online. The results reveal culture as a consistently significant factor in predicting people’s social question and answer behavior. The prominent cultural differences we observe might be traced to people’s inherent cultural characteristics (e.g., their cognitive patterns and social orientation), and should be comprehensively considered in designing social search systems.