Fortune | FORTUNE 10月14日 21:59
AI时代,职场中的人类价值:判断力与深度学习
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随着人工智能在职场中的影响力日益增强,如何在人机协作中保持人类的价值成为焦点。专家们在“财富最具影响力女性峰会”上强调,仅仅将人类置于“循环中”(human in the loop)已不足够,未来的核心竞争力将是“判断力”。教育和培养员工的判断力至关重要,尤其是在复杂决策场景下。同时,AI的发展也重塑了教育和技能需求,强调扎实的数学和阅读理解基础,以及深入钻研某一领域的能力。对于管理者而言,未来将需要具备持续推动团队创新和适应变化的能力,成为“首席实验官”。

💡 **关键在于培养人类的判断力:** 随着AI技术在职场中的普及,仅仅将人类置于AI决策的“循环中”已不能满足需求。真正的价值在于人类能够进行独立、有深度的判断。专家指出,未来三到五年内,社会需要认真思考如何保留和加强人类在特定情境下的决策权和判断能力,而非仅仅成为执行命令的“按钮操作者”。

🚀 **AI重塑技能需求与教育方向:** AI的崛起正在改变对教育的认知。未来的职场人士,尤其是在职业生涯早期,需要具备出色的判断力、管理复杂工作的能力,以及将工作委托给AI代理的技能。此外,培养终身学习、深度钻研某一领域的能力比单纯的文凭更为重要。扎实的数学基础和阅读理解能力是适应未来的基石。

📈 **管理者角色的演变:** 未来,管理者需要承担起“首席实验官”的角色。因为AI技术及其在工作流程中的应用将持续改进和变化,管理者需要驱动团队进行持续的、系统性的变革。这包括在包容性的前提下,不断优化团队工作方式,提升团队的生产力和效能,并确保团队能够持续进化以适应新的挑战。

As AI’s influence over the workplace broadens, debate continues to ripple across the business landscape—from the breakroom to the boardroom—about how to keep humans meaningfully involved. Many workers and executives alike have championed the idea of keeping a “human in the loop.”

But according to leaders across the C-suite, that safeguard alone won’t be enough. What will matter most in the coming years is judgment, speakers emphasized  at Fortune’s Most Powerful Women 2025 summit in Washington, D.C.

“I don’t think that we are thoughtfully enough educating people about how to be good at judgment,” Aashna Kircher, group general manager in the office of the CHRO at Workday, said.

“That’s a step that we will have to take as a civilization, honestly, in the next three to five years: how do we retain decision making and judgment in certain situations? Because you can hold somebody accountable, but if all they’re doing is pressing a button and saying yes, then they’re not actually applying judgment.”

It’s a sentiment echoed by other executives, including Katy George, corporate vice president for workplace transformation at Microsoft. As AI becomes more deeply embedded in day-to-day workflows, George said, the employees who will thrive—especially early in their careers—are those who can demonstrate sound judgment.

“We’re talking about raising the skill level much sooner for early career, whether it’s judgment, whether it’s being able to manage work, because you’re delegating to agents much earlier,” she said.

That also means developing complementary skills: the ability to delegate, maintain quality control, and approach problems with end-to-end, design-thinking mindsets.

Skills of the future

For Bijal Shah, CEO of Guild, the rise of AI is also reshaping what it means to be educated—and what skills will actually help workers adapt.

“I get asked all the time: should my child get a college degree, or just enter into the workforce?” she said. “Honestly, I don’t think it matters. What I think matters at the end of the day is that people have a really good foundation in math and a really good foundation in reading comprehension—and the best way to do that is to further your education.”

Photograph by Stuart Isett/Fortune

Shah added that while the debate over the value of higher education continues, the focus should be on depth, not just credentials. “I’m a little bit worried that [people]  are losing sight of the fact in this battle that to thrive in this next era, they actually need confidence in their ability to go deep on a subject,” she said. “It doesn’t really matter what subject it is.”

And for managers, the challenge—and opportunity—will look different. Every manager of the future, George said, will effectively need to become a chief experimentation officer.

“The technology is going to keep improving, and the way that it’s embedded into work processes will keep changing and improving,” George said. “And so every manager needs to be driving a continuous, system-wide change in the way that the team works in a way that really is inclusive and builds their team in but also continues to evolve and makes their team more productive [and] more effective.”

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AI 人工智能 职场 未来工作 判断力 技能 教育 管理者 AI Artificial Intelligence Workplace Future of Work Judgment Skills Education Management
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