Fortune | FORTUNE 07月02日 20:49
Your manager might be asking AI whether or not they should fire you
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文章探讨了全球范围内人力资源部门如何将人工智能(AI)融入工作流程。调查显示,约60%的经理依赖AI做出关于员工的决策,包括加薪、晋升、裁员和解雇。然而,仅有少数经理接受过关于如何伦理使用AI的正式培训,这引发了对AI在人力资源管理中应用的担忧。文章强调了在AI应用中保持“以人为本”的重要性,并呼吁组织提供适当的培训和明确的指导方针,以避免不公平的决策和员工信任的流失。

🤖 管理者广泛使用AI进行决策:Resume Builder的一项调查显示,约60%的经理使用AI来辅助其关于员工的决策,包括加薪(78%)、晋升(77%)、裁员(66%)和解雇(64%)。

⚠️ 缺乏伦理培训:尽管AI在人力资源管理中的应用日益广泛,但仅有约32%的管理者接受过关于伦理使用AI的正式培训,而约24%的管理者则完全没有接受过相关培训。

⚖️ 强调“以人为本”:专家指出,在人力资源管理中,不能忽视“人”的因素。AI虽然可以提供数据驱动的见解,但缺乏情境理解、同理心和判断力。AI的决策结果受其所接收的数据影响,这些数据可能存在偏差或被操控。

🛡️ 立法与监管:为了规范AI的应用,一些州,如科罗拉多州,已经通过立法,试图为员工因AI决策而可能遭受的后果设定保障措施。加利福尼亚州也在努力通过类似的法案,但可能受到联邦AI立法暂停的影响。

HR departments around the globe are trying to figure out how to implement AI into their company’s workflow, increase productivity, and cut down on busy work. But bosses may already be taking matters into their own hands and turning to robots when it comes to high-stakes personnel decisions. 

Around 60% of managers rely on AI to make choices about their direct reports, according to a new survey from Resume Builder, a career website. Out of this cohort, managers are using the technology to determine raises (78%), promotions (77%), layoffs (66%), and terminations (64%). 

Those statistics are concerning enough, but the training that these managers have under their belts while they ask AI for help makes them even more frightening. Only about 32% of managers using AI to manage people have received formal training to ethically do so, according to the report. And around 24% have received no training at all. 

“It’s essential not to lose the ‘people’ in people management,” says Stacie Haller, a career expert at Resume Builder. “While AI can support data-driven insights, it lacks context, empathy, and judgment. AI outcomes reflect the data it’s given, which can be flawed, biased, or manipulated. Organizations have a responsibility to implement AI ethically to avoid legal liability, protect their culture, and maintain trust among employees.”

The latest study on how bosses are actually using AI emphasizes how untamed the practice really is in corporate America. Although companies are talking the talk when it comes to how they want employees to use LLMs, far fewer are walking the walk and creating coherent training and guidelines for their workforce. 

That freeform nature of AI use we’re seeing right now is exactly why some states like Colorado have already passed legislation to try and create guardrails about what kind of consequences an employee can suffer because of AI. Others, like California, are in the middle of trying to pass their own bills—if a long-promised federal AI legislation moratorium doesn’t interrupt them first.  

There’s no doubt about it, our AI reality is here. And along with an overwhelming obsession with productivity, companies need to start asking themselves about the more human side of AI, and how individuals might turn to the technology in unexpected ways as a method to guide their decisions. After all, no employee wants to hear about how they were ultimately terminated by a robot. 

“Organizations must provide proper training and clear guidelines around AI, or they risk unfair decisions and erosion of employee trust,” says Haller.

Azure Gilman
azure.gilman@fortune.com

Around the Table

A round-up of the most important HR headlines.

Amazon will soon be using more robots than humans to work across the company’s many warehouses. Wall Street Journal 

The number of layoffs in the U.S. has reached its lowest point in years, but hiring is also dangerously low. Axois

America’s largest trading partners are near deals but are nervous that the current administration could change their policies afterwards. New York Times

Watercooler

Everything you need to know from Fortune.

Becoming obsolete. Silicon Valley investor Vinod Khosla predicts that AI will replace 80% of jobs by 2030 and take much of corporate America along with it. —Ashley Lutz

Striving for success. Shark Tank investor Kevin O’Leary says only a third of people can become successful entrepreneurs and the rest will never achieve greatness. —Emma Burleigh

Serious recruiting. Mark Zuckerberg has a list of top AI experts whom he’s targeting to join Meta’s Superintelligence Labs. —Nino Paoli

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人工智能 人力资源 AI决策 伦理 员工信任
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