ASIA
A multidimensional approach is necessary to fairly solve education, training and cultural problems when it comes to implementing artificial intelligence (AI) in educational and work circles, experts, academics and political decision -makers heard this week during a secondary event of the third UNESCO World Forum on Ethics of AI organized in Bangkok.
“(When) speaking of a workforce ready for the future, we must keep in mind that this is not something of summary, but it is really (by the way) students from our schools, employees of our offices, factories and even entrepreneurs from our markets,” said Rafael Torquato Cruz, project coordinator (squap).
“Education of the AI field is not only to train the best engineers in AI; We have to think about increasing an entire workforce, “he added. This workforce “includes factory workers, farmers, teachers, doctors (and) people in all professions who can acquire digital tools for AI and know how relevant they are for work.”
Cruz, who manages a community of practice on AI, was expressed during a secondary event of the UNESCO forum, “allowing a workforce ready for AI”, organized by the Association of Pacific's on -board universities (APRU) and UNPAP in partnership with AVPN (Asian Venture Philanthropy Network) And Data.org for non -profitTo fill, among other things, the most urgent shortcomings and the policy gaps related to AI skills.
A panel of academics and specialists in AI and political experts from large technology companies in Asia stressed the importance of ensuring that the world does not become even more fractured, divided into nations which have the power to calculate advanced AI systems and those who do not.
“IA education must be ethical, inclusive, interdisciplinary and founded locally – fill technical mastery with critical thinking and cultural relevance,” said Christina Schönleber, director of APRU strategy, said University world news.
“Universities play an important role as managers of knowledge and catalysts for innovation, ensuring that the preparation of AI is deployed in a fair and contextual manner, so no community is left behind,” she said.
But collaboration must “go beyond the academic world” and bring together the main groups involved in the application of AI with decision-makers and civil society was an important task that would contribute to a multidimensional AI approach, “she said.
The pace of confidence
Trisha Suresh, LinkedIn Public Policy Head for Southeast Asia, based in Singapore, said: “Skills for jobs change very quickly. So, even if you don't change jobs, we know that our jobs change.”
Citing the LinkedIn data analysis of the skills of members from 2016 to 2025, she said: “Even if you had not changed jobs, the skills necessary for this work changed by around 40% (during this period). So our jobs have already changed fairly quickly. ”
Suresh said jobs such as customer service representatives and legal assistants – where women are disproportionately represented – are the most vulnerable to disruption of AI requests. “These people would go to jobs that would still have a fairly high risk of AI disturbance,” she noted. “This is what the data tell us.”
The moderation of the panel, Priyank Hirani, based in Bangalore, director of capacity building on data.org, said that the training of students, the establishment of Ouvain professionals and the support of government leaders by creating open-source resources and learning content were imperative for local leaders seeking to support the creation of talents, by working together with global experts.
He underlined the need to go beyond the general directives on the AI to reinvent the training of AI specific to the sector and the transformation of the AI to ensure inclusive growth in Asia-Pacific.
“We must decompose barriers, pass from duplication efforts and adopt an approach to long-term ecosystems to make the inclusive development of the workforce of AI possible, keeping the ethics and the principles of use responsible at the forefront,” he said in a post-conference blog.
“We must move quickly to take advantage of the data and an AI for good – but we must move at the speed of confidence (and) of the scale of human interactions and not the speed or the scale of technology.
“For solutions and capacity building to be sustainable and scalable, we must establish this confidence thanks to authentic partnerships with organizations aligned on the mission and really found our reflection in local cultural contexts,” he added.
Professor Associate Wongkot Wongsapai, vice-president of the Thailand Bureau of the National Council for Higher Education, Sciences, Research and Innovation, said that AI was introduced into three phases in Thailand: first to “internalize” AI in universities programs; Second, introduce learning throughout AI skills throughout the workplace; And thirdly, to use AI to stimulate innovation, focusing on the research and development of AI.
“We quickly adopt and adopt technology and innovation,” said Wongsapai, noting that the 154 universities in Thailand and higher education establishments and 65 training centers have already formed around 31,000 people in the use of digital AI in the workplace.
Emerging risks
Yinghui TNG, head of government and public policies of Google Asia in the Southeast, said that YouTube, owned by Google, was an excellent “additional educational tool” that trains and educates people in the world. With AI added to the mixture, it becomes an “daring” educational tool.
“We believe that innovation must push the limits to create advanced research that will solve the most difficult problems. But to do this, we must do it in a responsible manner… in an eye on the new risks that emerge following the deployment of the AI. ”
TNG underlined financial fraud as a by-product of AI requests, the criminal unions operating in cyberspace through borders. “We have not considered it a problem of applying the law. We considered it a technological problem there, ”she explained.
“Criminal organizations … do not only work within the limits of a single platform or in a country or borders or in a single tactic. And (consequently), this requires an approach to the whole company to resolve financial fraud. This is certainly one of the emerging risks that we see due to technology, ”she noted.
Divide it from AI
The session also highlighted the fracture of access to the computer, in addition to the digital divide, in particular with the need to distribute AI technology to rural areas in Southeast Asia. Another crucial obstacle highlighted by the participants was the language and the need for AI technology to be able to adapt to different languages.
Given the hundreds of languages and dialects that exist in the region, Ekapol Chuangsuwanich, deputy director of the Center of AI of the Chulalongkorn University of Bangkok, referred to “different levels of preparation for AI”.
Saiman Pokhrel, AI coach at Bagmati Unesco Club in Bagmati, Nepal, said University world news The club has taught AI skills to more than 60,000 students per year in 3,300 schools in rural regions of Nepal.
But, with some 128 mother tongues, the use of AI is limited unless it is adopted in indigenous languages. “Large technological houses like Google, Microsoft and Amazon must make tools so that indigenous languages can be much more effectively used in AI,” he said.
“It is important to have personalized learning based on AI technologies, allowing people to be able to learn in a localized culture, specific to the context,” said Hirani University world news.
Some teachers in India can be resistant to the use of AI in teaching due to “concerns about work on technology, but AI could be a companion to make you more effective to provide what you do,” he added.
“We are essentially developing dialogue in the future and also forcing academics to engage with these stakeholders to provide information and knowledge on some of these challenges, to help resolve them and provide solutions,” said Schönleber in conclusion.
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