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C1 / C2 · ADVANCED BUSINESS ENGLISH
AI in Global Mobility
Automation · Compliance · Agentic AI · Bias · The Human Question
STUDENT WORKSHEET
AI in Global Mobility · Advanced Business English 1
■ VIDEO Watch before or during class:
How AI Is Transforming Immigration & Global Mobility — Fragomen LLP / Immigration Programme Manager
Alan Keogh (2026)
fragomen.com/insights/how-ai-is-transforming-immigration-opportunities-risks-and-compliance-insights
Supplementary (5 min): AI in HR 2026 — Agentic AI, Compliance & the Human Question — search YouTube: "AI
HR workforce trends 2026 agentic" (ADP / SHRM coverage)
WARM-UP & DISCUSSION
1 Read the quotation and discuss.
What does it mean to you? Do you agree? Give reasons for your answers.
“In 2026, an organisation’s people data will rival its financial data in strategic importance. AI will
transform workforce intelligence from a historical view of headcount and costs into a living map of
capability, agility and operational potential.”
— Steve Holdridge, HRD Connect, December 2025
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2 Discuss the questions.
Give reasons for your answers.
• What tasks in global mobility do you think AI could automate most effectively — and which could it not?
• Have you personally used AI tools at work? Did they save time, or create new problems?
• Should a government be allowed to use AI to assess a visa application? What risks does that create?
• Is there a difference between AI assisting a mobility manager and AI replacing one?
VOCABULARY
3 Match the definitions to the words in the box.
Write the correct word next to each definition.
algorithm agentic AI bias black box automation
predictive
analytics compliance
due
diligence
AI IN GLOBAL MOBILITY STUDENT WORKSHEET
AI in Global Mobility · Advanced Business English 2
a)
_______
_______
A set of rules or instructions followed by a computer system to solve a problem or make a decision.
b)
_______
_______
The use of technology to perform tasks with minimal human intervention, reducing manual workload.
c)
_______
_______
An AI system capable of taking autonomous, multi-step actions to complete complex tasks without
constant human input.
d)
_______
_______
Unfair prejudice built into an AI model as a result of skewed or unrepresentative training data.
e)
_______
_______
An AI system whose internal decision-making process is opaque or not explainable to users.
f)
_______
_______
The use of data, statistics, and machine learning to forecast future outcomes or flag risks before they
occur.
g)
_______
_______
Adherence to laws, regulations, and internal policies governing a business process or employee.
h)
_______
_______
A thorough investigation of legal, financial, and operational risks before making a business decision.
4 Discuss the questions.
Give reasons for your answers.
• How might the words in exercise 3 connect to the risks of using AI in immigration or HR decisions?
• What is the difference between a "black box" AI system and an "explainable AI" system? Why does it
matter in a legal context?
AI IN GLOBAL MOBILITY STUDENT WORKSHEET
AI in Global Mobility · Advanced Business English 3
VIDEO
5 Watch the first part of the video (to 02:30) and answer the questions.
Note your answers below.
1. According to the speaker, what are the three main areas where AI is currently transforming immigration
and global mobility?
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2. What specific benefits does AI bring to visa processing and case management? Give two examples
from the video.
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6 Watch the second part of the video (from 02:30). Work in pairs.
Student A: take notes on Parts 1 and 3. Student B: take notes on Parts 2 and 4.
Part 1 Opportunities: efficiency, accuracy, applicant experience
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Part 2 Risks: bias, security, and regulatory compliance concerns
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Part 3 Government AI in immigration — enforcement and adjudication
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Part 4 What employers and lawyers need to do differently
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7 Share your notes from exercise 6 with your partner.
AI IN GLOBAL MOBILITY STUDENT WORKSHEET
AI in Global Mobility · Advanced Business English 4
Fill in any gaps. Discuss any differences in what you each understood.
8 Complete the sentences using information from the video.
Use no more than four words for each gap.
a) AI is reshaping immigration by increasing ___________, enhancing accuracy, and improving the applicant
experience.
b) One major risk of AI in immigration is that systems may perpetuate or amplify existing ___________ if
training data reflects historical discrimination.
c) In 2025, an algorithm glitch falsely flagged over 1,200 H-1B applicants as high-risk — this is an example of
what critics call a ___________ system.
d) For employers, the key takeaway is that all documentation and prior filings must be ___________,
because AI systems are programmed to detect changes in profile, job duties, and salary.
AI IN GLOBAL MOBILITY STUDENT WORKSHEET
AI in Global Mobility · Advanced Business English 5
ANALYSIS & CRITICAL THINKING
9 Read the case studies. Discuss the questions below.
Give reasons for your answers.
Case Study A — The Algorithm Glitch
In 2025, an AI system used by a US immigration agency incorrectly flagged 1,200 H-1B visa applicants as
"high-risk," delaying their cases by months. The applicants were given no explanation for the delay and had no
mechanism to appeal the AI’s decision. Advocacy groups demanded “explainable AI” standards for all immigration
tools.
Case Study B — The Compliance Platform
A multinational company deployed an AI-powered global mobility platform that automatically tracked employees’
days in each country, flagged permanent establishment risk in real time, and generated shadow payroll
calculations. The HR team reduced compliance errors by 60% in the first year. However, employees raised
concerns about constant surveillance of their location data.
• In Case Study A, who should be held accountable when an AI makes a harmful error — the government
agency, the technology provider, or both?
• In Case Study B, does the efficiency benefit justify the level of employee surveillance? Where do you draw
the line?
• What does "explainable AI" mean in practice? Can a lawyer defend a client against a decision they can’t
understand?
10 Rewrite the communications to make them clearer and more professional.
Correct the vague or problematic language using precise business English.a)
"The AI said your visa might be a problem. I don’t know why. You should probably get a lawyer."
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b)
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AI in Global Mobility · Advanced Business English 6
"We’ve automated the whole mobility process now so you don’t need to worry about compliance anymore."
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AI in Global Mobility · Advanced Business English 7
USEFUL LANGUAGE
11 Put the useful phrases under the correct headings.
Write each phrase in the correct column in the table below.
‘I’d like to flag a potential compliance risk flagged by our AI platform…’ — ‘Have I understood correctly — the system is
flagging this as a PE risk?’ — ‘Would now be a good time to review the AI-generated risk report?’ — ‘Here’s where the
algorithm identified an inconsistency in the documentation…’ — ‘In my view, the automated tracking system has
significantly reduced our exposure.’ — ‘Would you be open to piloting an AI-based visa assessment tool?’ — ‘Here’s
what the predictive analytics model is telling us about assignment costs…’ — ‘Is there any part of the AI’s decision I
might be misreading?’ — ‘We may need to go back to basics — the AI output doesn’t account for local law.’
Opening Discussion Giving Praise Offering Suggestions Checking
Understanding
Pointing Out Problems
ROLE PLAY
12 Work in pairs. Practise the role-play scenarios.
Use the useful language from exercise 11 and the vocabulary from exercise 3.
Scenario A
A global mobility platform has flagged an employee’s assignment in Brazil as a permanent establishment
risk — but the AI has given no explanation of why. The employee has been in Brazil for 7 months on a digital
nomad visa and has been attending client meetings.
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Student A
Global Mobility Manager — escalate the risk
■ Present the AI’s flag clearly and precisely
■ Explain what PE risk means for the company
■ Use vocabulary: black box, explainable AI, compliance
■ Propose immediate steps to mitigate exposure
Student B
Legal Counsel — challenge and advise
■ Question whether the AI’s output is reliable
■ Identify what additional information is needed
■ Consider what human review is required
■ Advise on next steps with a clear recommendation
Scenario B
Your company is considering adopting an AI-powered HR platform that uses predictive analytics to assess
which expatriate assignments are likely to fail, based on personal data including nationality, age, family
situation, and past performance reviews.
Student A
HR Technology Director — advocate for adoption
■ Present the business case for the platform
■ Address efficiency gains and cost reduction
■ Acknowledge risks but argue they are manageable
■ Use vocabulary: predictive analytics, agentic AI, due
diligence
Student B
Employment Lawyer — raise legal and ethical concerns
■ Flag potential discrimination and bias issues
■ Identify GDPR / data privacy exposure
■ Question what "human in the loop" oversight exists
■ Recommend governance conditions before adoption
13 Discuss the questions after the role play.
Give reasons for your answers.
• How well did your partner use precise vocabulary to make their argument? What was the strongest point?
• Do you think AI should ever make a final decision in an immigration or HR context — or always remain
advisory?
• What is the most important thing a lawyer needs to understand about AI in 2026 that they didn’t need to
know in 2020?
KEY FACTS & FIGURES FOR REFERENCE
46% of organisations expect to use AI in HR in 2026 (SHRM)
87% of HR leaders forecast greater AI adoption in 2026, up from 83% in 2025
AI IN GLOBAL MOBILITY STUDENT WORKSHEET
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5.7x more likely: AI shifts job responsibilities rather than eliminating roles (SHRM)
15–30% productivity gains reported by early enterprise AI adopters (BCG, 2025)
60% reduction in compliance errors reported by companies using AI mobility platforms
50% reduction in visa-handling costs possible through automated compliance (Jobbatical)
1,200+ H-1B applicants wrongly flagged by algorithm glitch in 2025 — a real-world bias case
Feb 2025 EU AI Act: banned practices take effect — emotion recognition in workplace now illegal
Sources
• Fragomen LLP — How AI Is Transforming Immigration: Opportunities, Risks & Compliance Insights (2026)
• SHRM — The State of AI in HR 2026 Full Report · shrm.org
• ADP — Key HR Technology Trends for 2026: Agentic AI & Governance · adp.com/spark
• Gloat — 10 Key AI Workforce Trends in 2026 · gloat.com/blog
• Greenspoon Marder LLP — How AI Is Revolutionizing Immigration Compliance in 2026
• Jobbatical — Leveraging AI for Faster EU Visa and Work Permit Processing (2025)
• Docketwise — AI for Immigration Lawyers: Tools, Use Cases & Trends for 2026
• American Bar Association — Global National Security, Immigration and AI (Spring/Summer 2025)
• HRD Connect — AI in HR 2026: Predictions That Will Redefine People Strategy (Dec 2025)