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AI in Hiring and Evaluating Workers: What Americans Think
Appendix A: Impact, outcomes of AI use by demographics
Table of Contents
Table of Contents
- AI in Hiring and Evaluating Workers: What Americans Think
- Majorities oppose employers using AI in making final hiring decisions, tracking employees’ movements
- About two-thirds of Americans say they would not want to apply for a job if AI were used to help make hiring decisions
- Public believes AI would be better than humans in treating applicants equally but would struggle with seeing potential in candidates
- Can AI help combat racial and ethnic bias in hiring?
- Surveillance, data mismanagement, misinterpretations are among potential outcomes the public foresees in AI-enabled workplaces
- Some views about AI use in the workplace differ by income, gender, race and ethnicity, age, and awareness of the topic
- 1. Americans’ views on use of AI in hiring
- Americans are more opposed than not to AI’s involvement in the hiring process, especially in making final decisions
- About half of Americans say AI would do a better job than humans at treating all job applicants in the same way
- Majority of Americans would not want to apply for a job with an employer that uses AI to help make hiring decisions
- Lack of ‘human factor’ is most common reason for not wanting to apply for job that uses AI in the hiring process
- A majority say racial and ethnic bias in hiring is a problem, and about half of them say increased use of AI would help ease those issues
- 2. Americans’ views on use of AI to monitor and evaluate workers
- Americans have a range of views about AI being used to monitor workers
- Adults are more likely to think worrisome things will happen, rather than beneficial things, if AI systems are used to evaluate workers
- Relatively few Americans think information gathered from AI monitoring in the workplace should be used to decide who gets promoted or fired
- Majority of Americans say racial, ethnic bias is a problem in performance evaluations; nearly half who say this think AI can help
- 3. Americans’ views on use of face recognition in the workplace
- Acknowledgments
- Methodology
- Appendix A: Impact, outcomes of AI use by demographics
- Appendix B: Awareness of AI applications by demographics
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Table of Contents
Table of Contents
- AI in Hiring and Evaluating Workers: What Americans Think
- Majorities oppose employers using AI in making final hiring decisions, tracking employees’ movements
- About two-thirds of Americans say they would not want to apply for a job if AI were used to help make hiring decisions
- Public believes AI would be better than humans in treating applicants equally but would struggle with seeing potential in candidates
- Can AI help combat racial and ethnic bias in hiring?
- Surveillance, data mismanagement, misinterpretations are among potential outcomes the public foresees in AI-enabled workplaces
- Some views about AI use in the workplace differ by income, gender, race and ethnicity, age, and awareness of the topic
- 1. Americans’ views on use of AI in hiring
- Americans are more opposed than not to AI’s involvement in the hiring process, especially in making final decisions
- About half of Americans say AI would do a better job than humans at treating all job applicants in the same way
- Majority of Americans would not want to apply for a job with an employer that uses AI to help make hiring decisions
- Lack of ‘human factor’ is most common reason for not wanting to apply for job that uses AI in the hiring process
- A majority say racial and ethnic bias in hiring is a problem, and about half of them say increased use of AI would help ease those issues
- 2. Americans’ views on use of AI to monitor and evaluate workers
- Americans have a range of views about AI being used to monitor workers
- Adults are more likely to think worrisome things will happen, rather than beneficial things, if AI systems are used to evaluate workers
- Relatively few Americans think information gathered from AI monitoring in the workplace should be used to decide who gets promoted or fired
- Majority of Americans say racial, ethnic bias is a problem in performance evaluations; nearly half who say this think AI can help
- 3. Americans’ views on use of face recognition in the workplace
- Acknowledgments
- Methodology
- Appendix A: Impact, outcomes of AI use by demographics
- Appendix B: Awareness of AI applications by demographics
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