The use of secret tests, like the coffee cup test or the résumé watermark check, can be seen as a way to judge candidates based on non-job-related factors. While some argue that these tests can measure a candidate's consideration or work ethic, others believe that they may not accurately reflect a person's capabilities or potential. In order to create a more equitable hiring process, experts recommend using standardized questions and scoring rubrics to assess candidates objectively.
For evaluating character traits or work ethic, it is best to use scenario-based questions and observe candidates' responses. The goal is to make the selection criteria transparent and based on relevant qualifications. It is important to address the concerns about bias in AI hiring tools by ensuring that the data sets used to train AI algorithms are unbiased. This can help prevent discriminatory outcomes and promote fairness in the hiring process.
However, there is also a need to use AI ethically and responsibly, as there have been instances of AI discriminating against certain groups of candidates due to biased training data. While AI has the potential to improve the hiring process by removing subjectivity, it is crucial to address the challenges and work towards creating a more equitable system.