How can you use AI and automation tools to reduce human error and bias in hiring decisions?

1 What is unconscious bias?

Unconscious bias is the tendency to make judgments or assumptions about people based on stereotypes, preferences, or experiences that are not based on objective facts. Unconscious bias can influence how you evaluate resumes, conduct interviews, and make hiring decisions. For example, you might favor candidates who share your background, education, or interests, or you might overlook candidates who have different names, accents, or appearances.

3 What are some examples of AI and automation tools?

There are numerous AI and automation tools available that can assist in reducing unconscious bias in hiring. For example, Textio analyzes job descriptions to make them more inclusive, engaging, and effective, while also providing data on how language affects the diversity and quality of applicants. HireVue uses video interviews and assessments to measure skills, personality, and potential, as well as AI to evaluate verbal and non-verbal cues. Ideal sources, screens, and matches candidates to job requirements while hiding names, photos, and other irrelevant information. Pymetrics employs gamified assessments to measure cognitive and emotional traits such as problem-solving, creativity, and resilience. Additionally, AI is used to create unbiased profiles and recommendations based on the role and culture.

4 How can you implement AI and automation effectively?

AI and automation can help reduce unconscious bias, but they are not a guaranteed solution. To ensure you are using them effectively and ethically, you should define your goals and criteria, test and validate the tools, and train and educate your team. Before using any tool, you need to have a clear idea of what you are looking for in your candidates and how you will measure their suitability, as well as ensure your goals and criteria are aligned with company values and culture. Additionally, you should test the accuracy, reliability, and fairness of the tools, monitor their performance, and be transparent about how they are used. Your team should also be trained on how to use the tools properly and responsibly. Finally, encourage them to challenge their own biases and assumptions, seek feedback for improvement, and address any concerns or questions.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?