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AI Impact on Job Applications Raises Alarms

AI tools may lead to biases in the job application process.
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Recently, many job seekers have felt frustrated as they repeatedly get rejected without understanding why. It seems like their applications are being screened by computers instead of humans. More employers are using AI tools to quickly sift through applications. While this process is efficient, it has raised concerns about potential biases when choosing candidates.

'People Like Us,' a London-based group, is advocating for greater awareness of applicants’ rights. They emphasize the right to demand a human review if an application is denied by AI. Many applicants aren't aware they can challenge these decisions, according to statistics. This lack of knowledge leads to frustration and resignation among job seekers.

Evidence suggests that ethnically diverse applicants often change their CVs fearing rejection based on ethnicity or origin. Alarmingly, even candidates who traditionally faced low rejection rates now find it notably harder to secure jobs. The group urges companies to audit their AI systems regularly to ensure fairness.

Some businesses claim less AI usage than candidates perceive, yet the fear persists. This perception could prompt candidates to overly optimize their CVs for AI rather than present genuine skills and experiences. The goal is to balance technology use while maintaining transparency and fairness in hiring.

Original news source: Is an 'AI war' complicating your job search? – BBC News (BBC)

🎧 Listen:

📖 Vocabulary:

1. advocating
2. sift
3. biases
4. potential
5. resignation
6. ethnically
7. alter
8. audit
9. transparency
10. optimize
11. genuine
12. perceive
13. fairness
14. applicants
15. rejection

Group or Classroom Activities

Warm-up Activities:

1. Have you ever applied for a job or internship before? How was the experience?
2. What do you think about computers making decisions about job applications?
3. Discuss a time when you felt something was unfair. How did you handle it?
4. How important is fairness in job applications, in your opinion?
5. What do you know about AI and how it is used in the real world?

🤔 Comprehension Questions:

1. What feeling do many job seekers experience recently?

2. Who increasingly uses AI tools for screening applications?

3. What right does 'People Like Us' advocate for?

4. Why are ethnically diverse applicants changing their CVs?

5. What does 'People Like Us' suggest companies do to their AI systems?

6. How do some businesses' claims differ from candidates' perceptions about AI?

7. What effect can candidates' fear of AI have on their CVs?

🎧✍️ Listen and Fill in the Gaps:

Recently, many job seekers have felt frustrated as they repeatedly get rejected understanding why. It like their applications are being screened by computers instead of . More employers are using AI to quickly sift through applications. While this process is efficient, it has raised concerns about potential biases when . ' Like Us,' a London-based group, is advocating for greater awareness of applicants’ rights. They emphasize the right to demand a human review if an application is denied by AI. Many applicants aren't aware they can challenge these decisions, according to . This lack of knowledge leads to frustration and resignation among job . Evidence suggests that ethnically diverse applicants often change their CVs fearing rejection based on or origin. Alarmingly, even candidates who faced low rejection rates now find it notably harder to secure jobs. The group companies to audit their AI systems regularly to ensure . Some businesses claim less AI than candidates perceive, yet the fear persists. This perception could prompt candidates to overly optimize their CVs for AI rather than present skills and . The goal is to balance technology use while maintaining transparency and fairness in hiring.

💬 Discussion Questions:

1. How do you feel about AI being used in job recruitment?
2. Why might AI introduce biases in the hiring process?
3. Would you change your CV if you knew AI was screening it? Why or why not?
4. In what ways can companies ensure fairness when using AI?
5. How important is human involvement in hiring decisions?
6. Have you ever felt unfairly judged based on something outside your control?
7. Do you think people should have the right to a human review of AI decisions?
8. What are the pros and cons of using AI in employment?
9. What role can transparency play in job recruitment?
10. How do you think AI will impact future jobs?
11. How can job seekers better prepare for AI screening?
12. What knowledge or skills do you think companies value the most?

Individual Activities

📖💭 Vocabulary Meanings:

Click a dot next to a word, then click the dot next to its meaning to draw a line connecting them.

Words

1. advocating
2. sift
3. biases
4. potential
5. resignation
6. ethnically
7. alter
8. audit
9. transparency
10. optimize
11. genuine
12. perceive
13. fairness
14. applicants
15. rejection

Meanings

(A) official examination or review
(B) make the best or most effective use of
(C) just treatment without favoritism
(D) real, authentic
(E) dismissal or refusal
(F) understand or interpret
(G) publicly supporting a cause
(H) unfair preferences or prejudices
(I) acceptance of something without protest
(J) relating to a population subgroup
(K) possible or capable of becoming real
(L) condition of being open and clear
(M) those applying for something
(N) change slightly, often to improve
(O) separate from others with care

🔡 Multiple Choice Questions:

1. What tools do employers increasingly use to screen applications?
(a) Manual reviews
(b) Employee referrals
(c) AI tools
(d) Social media
2. Who is advocating for applicants’ rights in London?
(a) Job Seekers United
(b) Tech Workers Union
(c) Equality Advocates
(d) People Like Us
3. What right is emphasized by 'People Like Us'?
(a) Human review of AI decisions
(b) Higher salary demands
(c) Longer application deadlines
(d) Remote work opportunities
4. Why do ethnically diverse applicants alter their CVs?
(a) To follow trends
(b) Due to lack of experience
(c) As advised by career counselors
(d) Fear of rejection based on ethnicity
5. What is suggested to ensure fairness in AI systems?
(a) More job postings
(b) Regular audits
(c) Fewer interviews
(d) Increase AI usage
6. What do some businesses claim about AI usage?
(a) It is more than needed
(b) It only benefits IT roles
(c) It is less than perceived by candidates
(d) It is used in all departments
7. What is a potential outcome of applicants’ perception of AI?
(a) Over-optimization of CVs for AI
(b) Less job applications
(c) Better networking
(d) Increased salaries
8. What should balance with technology use in hiring?
(a) Cost and efficiency
(b) Transparency and fairness
(c) Privacy and speed
(d) Innovation and tradition

🕵️ True or False Questions:

1. Few applicants are aware they cannot challenge AI decisions.
2. People Like Us is a Paris-based advocacy group.
3. Some businesses claim they use less AI than perceived by job seekers.
4. AI systems should be audited regularly to ensure fairness.
5. Homogeneously similar candidates enhance CVs welcoming ethnic-based acceptance.
6. Candidates might neglect optimizing CVs for AI.
7. Even candidates with low rejection rates face difficulty in securing jobs now.
8. Applicants often feel resignation due to rejection.

Writing Questions:

1. Describe a situation where you felt technology was both helpful and challenging.
2. Explain your views on the importance of fairness in competitive situations like job applications.
3. Discuss how you would respond if you knew an AI system was going to review your job application.
4. Write about a time when you had to change something about yourself to fit in or succeed.
5. Reflect on the role of transparency in building trust between employers and job seekers.

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