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Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems Essay (Article)

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Introduction

The introduction of artificial intelligence in the hiring process in the US developed a new recruitment era, as Andrea Hsu stated. The author showed that even though AI is becoming more popular these days, many people raise their concerns about the validity of the provided results by the new hiring technique. However, the adoption of AI tools can be challenging and concerning in terms of the reputation of businesses. This paper will address discrimination in AI hiring and explore barriers that may appear in the working solutions. Societal implications will be discussed to understand the issues in more depth.

AI Hiring: Problems and Solutions

There are many different types of AI systems that help recruiters around the world. For instance, resume scanners, chatbots, and video interviews (Li et al. 169). While these advances allow young workers, the older population can face diverse disadvantages due to the difficulty of algorithms. In this case, discrimination is massive and illustrates real-life issues of increasing unemployment. The lack of representative data contributes to AI systems’ biased outcomes and limited transparency. Furthermore, ethical problems appear when it comes to privacy and fairness, increasing the need for help from the Equal Employment Opportunity Commission (EEOC).

To address the rising problems, recruiters should introduce multiple approaches and control AI at every stage. Stakeholders should be notified about using artificial intelligence during hiring to avoid miscommunication and support the business’s brand image. Applicants should have an option to avoid the use of AI. Moreover, they should be able to ask the actual person to check all standard documents like CVs and conduct in-person interviews.

Conclusion

Consequently, integrating AI into the hiring process can have advantages and disadvantages. It is essential to observe all gaps to ensure that candidates are not discriminated against and have the right to choose how their recruitment process looks like.

Work Cited

Li, Lan, Lassiter, Tina, & Oh, Joohee. “Algorithmic hiring in practice: Recruiter and HR professional’s perspectives on AI use in hiring”. AIES’21, 2021, pp. 166-176.

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Reference

IvyPanda. (2025, June 11). Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems. https://ivypanda.com/essays/addressing-discrimination-and-barriers-in-ai-artificial-intelligence-hiring-systems/

Work Cited

"Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems." IvyPanda, 11 June 2025, ivypanda.com/essays/addressing-discrimination-and-barriers-in-ai-artificial-intelligence-hiring-systems/.

References

IvyPanda. (2025) 'Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems'. 11 June. (Accessed: 21 June 2025).

References

IvyPanda. 2025. "Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems." June 11, 2025. https://ivypanda.com/essays/addressing-discrimination-and-barriers-in-ai-artificial-intelligence-hiring-systems/.

1. IvyPanda. "Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems." June 11, 2025. https://ivypanda.com/essays/addressing-discrimination-and-barriers-in-ai-artificial-intelligence-hiring-systems/.


Bibliography


IvyPanda. "Addressing Discrimination and Barriers in AI (Artificial Intelligence) Hiring Systems." June 11, 2025. https://ivypanda.com/essays/addressing-discrimination-and-barriers-in-ai-artificial-intelligence-hiring-systems/.

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