主要收获
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AI in HR can amplify your team: G-P’s agentic AI supports multi-step HR workflows, including cross-border hiring, generating customized and compliant international contracts, country-specific analytics, ongoing compliance monitoring, automated onboarding at scale, and day-to-day lifecycle management. This reduces research time so your team can focus on strategy, culture, and people.
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Prioritize human judgment: Automate tasks, not decisions. Human oversight is important when evaluating how to implement AI responsibly in HR, especially for choices impacting employment, pay, or legal standing.
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Global compliance needs verified data: General AI tools risk compliance errors. Use expert-vetted, proprietary tools like G-P Gia™ to ensure compliance.
For more insights, watch the webinar: "AI, HR strategy, and the evolving global workforce"
如果你是管理全球员工队伍的人力资源专业人员或商业领袖，你就会知道遵守合规是一项全职工作。如今，对话不仅仅是想方设法勾选所有法律方框；而是要做出明智的技术选择。
Understanding how to use AI in HR is transforming the industry by making everyday tasks easier and faster. Simplification and speed help HR teams quickly adapt to shifting environments and regulations. But don't worry about being the fastest adopter — the goal is simply to keep up.
G-P人力资源高级总监康妮·迪亚兹和Canidium的人力资源经理安妮·迪奥里奥是将人工智能引入动态员工队伍的专家。他们花了几年时间让团队摆脱对人工智能 " 的 " 恐惧，开始实施减少任务并将人力资源重新投入人力资源的工具。从那次经历中，他们破解了人工智能集成的代码。
How AI tools help HR teams
AI tools act as a force multiplier for HR teams by handling the heavy lifting of administrative tasks. By absorbing high-volume responsibilities like initial resume screening, manual data sorting, and routine policy questions, AI speeds up daily operations. This reduces the repetitive workload that can strain growing teams.
For example, Gia can quickly generate a Japan employment contract that reflects important local labor-law considerations for HR review. In Japan’s labor laws (like the Labor Standards Act), contracts have to explicitly state details like working hours, overtime rules, and severance rules in a specific format. If you use a generic US-style offer letter, some provisions can be ineffective or difficult to enforce under Japanese employment law.
Without an AI tool like Gia, an HR manager sitting in New York or London would have to:
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Spend hours researching Japanese labor laws
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Pay expensive outside legal counsel
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Wait days for a local partner to draft the document.
Instead, because AI tools like Gia can do multi-day, high-cost tasks much quicker, HR teams have more time to focus on work that needs human judgment.
Benefits of AI in HR
The benefits of AI in HR lies in helping teams work more efficiently, strategically, and confidently. This is especially true when managing contractors, employees and compliance across borders.
Here’s what that looks like in practice. Let’s say your team needs to relocate a senior manager from the U.S. to the UK. Traditionally, this would require days researching local labor laws or paying expensive outside counsel. Using AI in HR changes the process:
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Faster HR and compliance workflows: G-P’s global compliance engine generates a UK-localized employment agreement that includes minimum notice periods, benefits, and paid annual leave entitlements.
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More consistent global employee support: G-P Assist gives relocated staff instant answers regarding local benefits, leave, and onboarding, while automatically sending complex cases to in-country human experts.
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Proactive, context-aware decisions: Gia can flag UK pension auto-enrolment obligations and tax or payroll considerations that HR can address before the transfer is finalized.
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Fewer administrative gaps: G-P’s agentic AI global employment platform uses multi-step, cross-border workflows to reduce manual research loops and data errors.
Start here: the “AI adoption continuum”
For many leaders, learning how to use AI responsibly in HR is overwhelming. Annie notes that adoption follows a continuum: "It starts with indifference, and then it goes to fear, and then embarrassment, confidence, and transformation."
避免落后的诀窍很简单：只需尝试使用适合您和您的团队的工具即可。一旦开始，你就会意识到这是多么容易，从而很快建立起信心。
"I think people are worried about AI taking their job, and what we should be more worried about is somebody that knows how to use AI taking the job." — Annie Diiorio, HR manager, Canidium.
步骤 1：找出你的人力资源耗时器
AI can be woven into every aspect of HR. It acts as a "coworker" to make operations smoother, personalize employee experiences, and uncover new insights. AI isn't replacing HR professionals – it's magnifying their abilities, automating high-volume tasks, and freeing them up to focus on strategy, culture, and real human interaction.
| 人力资源职能 | How to use AI in HR |
|---|---|
| 全球招聘和录用 | Makes the talent funnel easier to manage: It screens resumes, generates job descriptions and interview questions, and automates the scheduling process. For a small department, Annie says AI, "can be like a coworker and a sounding board to run things through." |
| 全球入职 | Guides new hires: It can take new employees through paperwork, schedule training, and answer common questions via chatbots. For example, Annie uploaded all open enrollment resources into a tool and shared it with employees, allowing them to ask questions specific to the U.S. like, "Which plans have an HSA (Health Savings Account)?" A major timesaver for Annie and her team. |
| 学习与发展 (L&D) | Shifts L&D from one-size-fits-all to personalized: It highlights individual learning needs and recommends relevant courses. |
| 绩效管理 | Brings data-driven objectivity to the table: It analyzes data to create comprehensive reports for reviews, and can even help employees generate thoughtful self-reviews. |
| 数据分析和洞察力 | Chews through massive datasets: It can identify trends in performance, compensation, and turnover that would otherwise be invisible. |
| 员工支持 | Offers 24/7 support for employees: AI-powered chatbots are now frontline tools that instantly answer common employee questions about payroll, benefits, or policy. This frees up HR staff to focus on strategies with greater impact. |
步骤2: 采取"人在回路" 的方法
To use AI in HR, you have to first recognize its limitations. The way to handle the risks – like bias, privacy, or "hallucinations" – is with human oversight.
Connie shared a real-life example of using AI in HR to calculate new hire satisfaction scores:
" 我从 Workday 下载了原始数据然后把它扔进了 Gemini。上面写着38% 。我当时想，不行。这说不通啊。你需要那个人真正了解背景，才能说这听起来不太对劲"。
除了准确性之外，人工智能无法取代连接。安妮分享了一个故事，讲述了一位年轻的亲戚开始使用生成式人工智能作为 “朋友”，但当它无法记住他们的互动时，他才意识到它的局限性。
"没有什么能取代人与人之间的联系。" Canidium的人力资源经理兼执行业务合作伙伴安妮·迪奥里奥说，人工智能代表人工智能。"它没有感情。它根本不在乎你。"
Today, AI in HR is a tool that frees up time to build genuine connection, not a stand-in for it.
Common HR activities that should not be fully automated
Understanding how to implement AI responsibly in HR means knowing where to draw the line. In a recent SHRM survey, three in five workers (59%) had confidentiality concerns about discussing issues through an HR technology system instead of with an HR representative.
SHRM’s data also highlighted key areas that survey respondents believed should never be automated. These included using AI for recommending discipline or layoff decisions (50%) and auto tracking a worker's mood or mental health (49%). Another no-go area was assessing performance.
As a general rule, AI shouldn’t be used when the outcome will impact an employee’s job, pay, access to work, or legal rights. For example, in July 2026, dozens of Meta employees have sued the company, alleging that AI tools targeted them for layoffs after they requested leave or disability accommodations.
Here are some common HR activities that you should avoid automating:
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Final hiring or rejection decisions: AI screening can create discrimination or accessibility risks.
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Final promotion, pay, bonus, or job-leveling decisions: These need context, equity review, and defensible business reasoning.
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Final performance ratings and disciplinary action: AI can miss context like workload changes, protected leave, disability accommodations, manager bias, or team dynamics.
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Termination, redundancy, or layoff selection: High-risk decisions should always involve human, legal, and HR review.
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Employee relations investigations: AI can summarize notes but credibility assessments, findings, and corrective action require human judgment.
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Harassment, discrimination, or retaliation complaints: These involve legal rights, confidentiality, and nuanced fact-finding.
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Final leave eligibility or return-to-work decisions: AI can support intake but HR should review medical, statutory, and policy factors.
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Payroll/timekeeping corrections that affect pay: Automated systems can help identify discrepancies but employers remain responsible for accurate pay, overtime, and hours-worked records.
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Employee monitoring or productivity scoring: AI-driven monitoring can raise privacy, wage-hour, labor rights, and discrimination risks.
G-P 的差异以及全球人力资源为何需要经过验证的人工智能
The stakes are high for HR leaders managing employees around the world. An AI "hallucination" isn't just an error – it's a compliance risk. General AI tools pull directly from the internet, which is full of conflicting, outdated, and incorrect information.
This is where an expert-vetted AI becomes increasingly important. "I never Google things anymore about international employment law because there's so much out there, and I don't know what to trust,” explains Annie. “So it’s really helpful just to use G-P Gia™ as the AI source for international questions."
这就是 G-P 建造 Gia 的原因。与通用人工智能不同，Gia 建立在专有知识库之上，可为您提供值得信赖的就业法指导。它提供了经过验证的答案并引用了其来源，使人力资源领导者有信心做出高风险的决策。
But what’s verification without speed to match? With Gia, you don’t have to wait for answers. Our agentic AI was designed to save HR professionals hours of work. The true power of verified agentic AI in HR is turning high-risk compliance research into a two-minute task.
步骤3:"试试看，但要读一读"
向人工智能驱动的工作场所转变的人力资源领导者应该有一个目标：在产出方面做出判断。
AI tools are easy to build and use, helping you quickly move from "fear" to "confidence." The winning strategy for adoption and integration? Just dive in. "Anyone that hasn’t given AI a try, just try it, and you’ll see how much it can do for you,” says Annie.
The process is simple, but Annie also cautions the importance of the human touch for any AI user. For example, many jobseekers use AI to tailor resumes to job descriptions. While it’s an acceptable practice, candidates don’t always review the output and leave in AI prompts like “[insert your skills here]” in the final document.
“I think AI is an incredibly helpful tool," explains Annie. "But if candidates aren’t going to proofread it, it just throws it out the window for me because that shows a lack of attention to detail." The future of AI in HR needs human judgment, contextual awareness, and compliance expertise. AI is the tool that helps HR professionals deliver on that promise.
What agentic AI in HR means in practice
Instead of only summarizing a policy, agentic AI in HR can help verify employee data, surface potentially applicable policies and regulations, draft responses, route items for approval, and track follow-up tasks.
For example, if an employee requests workplace leave, agentic AI in HR can help:
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collect the initial request
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identify which company policies and local rules may apply
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flag missing information
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draft an employee response
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create a manager checklist
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route the case to HR for review.
AI can help organize the workflow but HR should still make the final decision.
看看 Gia 的实际情况
了解我们的全球合规代理人工智能如何为您在 50 个国家和所有 50 个美国州最棘手的人力资源问题提供经过验证的答案。