{"id":7387,"date":"2025-12-22T03:40:00","date_gmt":"2025-12-22T03:40:00","guid":{"rendered":"https:\/\/dchhk.com\/?p=7387"},"modified":"2025-12-16T08:55:55","modified_gmt":"2025-12-16T08:55:55","slug":"bon-nghe-nghiep-moi-co-the-xuat-hien-trong-tuong-lai-ai","status":"publish","type":"post","link":"https:\/\/dchhk.com\/en\/bon-nghe-nghiep-moi-co-the-xuat-hien-trong-tuong-lai-ai\/","title":{"rendered":"FOUR NEW PROFESSIONS THAT MAY EMERGE IN THE AI FUTURE"},"content":{"rendered":"

The rapid development of artificial intelligence (AI) is causing many people to worry about the future of jobs. The greatest fear is that AI will replace humans, rendering many existing occupations obsolete. In reality, this concern is not entirely unfounded: AI will certainly reshape the labor market, forcing many jobs to change\u2014or even disappear.<\/p>\n\n\n\n

However, on the other hand, this technology is also opening up entirely new opportunities\u2014professions that would have been hard to imagine just a few years ago.<\/p>\n\n\n\n

History shows that every technological revolution brings disruption, but also creates new roles to meet emerging societal needs. AI is no exception. As AI becomes increasingly embedded in daily life\u2014from finance and healthcare to transportation, education, and human resources\u2014people will be needed to interpret, manage, supervise, and harness AI effectively. According to an article in The Wall Street Journal, below are four professions that are expected to emerge and grow strongly in the AI era.<\/p>\n\n\n

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Khi AI th\u00e2m nh\u1eadp s\u00e2u v\u00e0o c\u00f4ng vi\u1ec7c h\u00e0ng ng\u00e0y, ng\u01b0\u1eddi lao \u0111\u1ed9ng s\u1ebd bu\u1ed9c ph\u1ea3i h\u1ecdc c\u00e1ch l\u00e0m vi\u1ec7c c\u00f9ng c\u00f4ng ngh\u1ec7<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n

AI \u201cEXPLAINERS\u201d: A BRIDGE BETWEEN TECHNOLOGY AND SOCIETY<\/strong><\/p>\n\n\n\n

One of the biggest challenges of AI today is its \u201cblack box\u201d nature. Many AI systems produce results that even their developers struggle to fully explain. In some cases, AI can generate inaccurate or fabricated information that appears highly convincing.<\/p>\n\n\n\n

As AI is increasingly entrusted with sensitive tasks\u2014such as loan approvals, medical treatment recommendations, or candidate screening in recruitment\u2014the question arises: Who is responsible for explaining how AI systems work? Who ensures they are properly updated, operated according to standards, and do not pose legal risks?<\/p>\n\n\n\n

This is where the role of the \u201cAI explainer\u201d comes in. These professionals have deep knowledge of AI technologies and the ability to translate complex technical concepts into language that is understandable to executives, judges, regulators, and the general public.<\/p>\n\n\n\n

Imagine a lawsuit involving a traffic accident between an autonomous city bus and a privately owned self-driving car. The court would need to understand whether the software of both vehicles was updated in compliance with regulations, and whether responsibility lies with the owner, the vehicle manufacturer, or the software provider. In such cases, each party may hire an AI explainer to provide expert testimony, analyze how the AI systems made decisions\u2014and naturally, each side would interpret those decisions in its own favor.<\/p>\n\n\n\n

AI CHOOSERS: SOLVING THE QUESTION OF \u201cUSING THE RIGHT TECHNOLOGY FOR THE RIGHT TASK\u201d<\/strong><\/p>\n\n\n

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S\u1ef1 ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111ang khi\u1ebfn kh\u00f4ng \u00edt ng\u01b0\u1eddi lo l\u1eafng v\u1ec1 t\u01b0\u01a1ng lai vi\u1ec7c l\u00e0m<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n

Not all AI is the same. In reality, the AI landscape includes a wide range of technologies, from predictive AI and data analytics AI to generative AI. For businesses\u2014especially those new to the technology\u2014choosing the wrong type of AI can lead to significant waste of time, money, and resources.<\/p>\n\n\n\n

An \u201cAI chooser\u201d acts as a strategic advisor, helping organizations understand which AI technologies best align with specific objectives. Beyond consultation, they also support companies throughout the process of procurement, deployment, and integration of AI into operational systems.<\/p>\n\n\n\n

For example, a retail chain seeking to boost sales might be advised to use predictive AI to analyze purchase histories, forecast demand, and personalize product recommendations. By contrast, if the goal is to support marketing teams in creating advertising content, generative AI would be a more suitable choice. Matching the right technology to the right need will become a critical competitive advantage in the digital era.<\/p>\n\n\n\n

AI AUDITORS AND \u201cAI CLEANERS\u201d: SAFEGUARDING FAIRNESS AND ETHICS<\/strong><\/p>\n\n\n\n

Bias in AI is a growing concern for businesses and regulators alike. AI systems learn from historical data, and if that data contains biases, the outputs will reflect them\u2014sometimes in subtle and hard-to-detect ways.<\/p>\n\n\n\n

To address this issue, two new roles may emerge in parallel: AI auditors and \u201cAI cleaners.\u201d AI auditors conduct regular reviews\u2014weekly, monthly, or even daily\u2014to assess whether AI systems produce biased or discriminatory outcomes. This work is especially critical in fields such as recruitment, credit, insurance, and the justice system.<\/p>\n\n\n\n

Once issues are identified, AI cleaners intervene to adjust the system, for example by modifying training datasets, adding more diverse data, or fine-tuning algorithms to reduce bias. This is not merely a technical challenge but one that directly affects ethics, social responsibility, and corporate reputation.<\/p>\n\n\n\n

AI TRAINERS FOR HUMANS: EDUCATION IN A NEW ERA<\/strong><\/p>\n\n\n\n

As AI becomes deeply embedded in everyday work, employees will need to learn how to collaborate with technology. Demand for reskilling and upskilling will therefore rise sharply, especially among mid-career workers and staff in small businesses that lack resources for large-scale training programs.<\/p>\n\n\n\n

AI trainers for humans represent a new category of education professionals. Instead of delivering one-size-fits-all courses, they will leverage AI itself to personalize learning. Technology will analyze individuals\u2019 strengths, weaknesses, learning speed, and learning styles, then design tailored training pathways.<\/p>\n\n\n\n

This approach enables workers to acquire new skills quickly without returning to formal education systems, while allowing companies to upgrade workforce capabilities in a more flexible and efficient manner.<\/p>\n\n\n\n

According to The Wall Street Journal, these four professions are only early examples. In reality, AI may give rise to many new roles in fields that we cannot yet name. The future will undoubtedly bring uncertainty and challenges\u2014but also unprecedented opportunities.<\/p>\n\n\n\n

(Source: econmomy.vn)<\/em><\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

S\u1ef1 ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) \u0111ang khi\u1ebfn kh\u00f4ng \u00edt ng\u01b0\u1eddi lo l\u1eafng v\u1ec1 t\u01b0\u01a1ng lai vi\u1ec7c l\u00e0m. N\u1ed7i s\u1ee3 l\u1edbn nh\u1ea5t l\u00e0 AI s\u1ebd thay th\u1ebf con ng\u01b0\u1eddi, khi\u1ebfn h\u00e0ng lo\u1ea1t ngh\u1ec1 nghi\u1ec7p hi\u1ec7n nay tr\u1edf n\u00ean l\u1ed7i th\u1eddi. Th\u1ef1c t\u1ebf, \u0111i\u1ec1u \u0111\u00f3 kh\u00f4ng ho\u00e0n to\u00e0n sai: AI ch\u1eafc ch\u1eafn […]","protected":false},"author":1,"featured_media":7390,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3,10],"tags":[],"class_list":["post-7387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tin-tuc","category-tin-tuc-noi-bat"],"_links":{"self":[{"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/posts\/7387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/comments?post=7387"}],"version-history":[{"count":3,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/posts\/7387\/revisions"}],"predecessor-version":[{"id":7393,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/posts\/7387\/revisions\/7393"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/media\/7390"}],"wp:attachment":[{"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/media?parent=7387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/categories?post=7387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dchhk.com\/en\/wp-json\/wp\/v2\/tags?post=7387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}