if you have a brain you re biased
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If you have a brain youre biased -Dr. Heidi Grant NeuroLeadership - PowerPoint PPT Presentation

S ORRY YOU JUST DON T FIT INTO OUR CULTURE : U NCONSCIOUS BIAS IN HIRING DECISIONS Beth Crist Jean Marie Heilig Youth Services Fiscal Officer If you have a brain youre biased -Dr. Heidi Grant NeuroLeadership Institute


  1. S ORRY … YOU JUST DON ’ T FIT INTO OUR CULTURE : U NCONSCIOUS BIAS IN HIRING DECISIONS Beth Crist Jean Marie Heilig Youth Services Fiscal Officer

  2. “If you have a brain you’re biased” -Dr. Heidi Grant NeuroLeadership Institute

  3. • Explicit Bias • Implicit / Unconscious

  4. W HERE DO THESE BIASES COME FROM ? Direct Experiences (with other people, events, situations) Vicarious Experiences (those relayed to us through other people, stories, books, movies, media and culture)

  5. L IBRARY W ORKERS : F ACTS AND F IGURES

  6. A DDRESSING THE E LEPHANT IN THE ROOM Male 21% Female 79% https://www.dpeaflcio.org/factsheets/library-professionals-facts-and-figures?rq=LIbrarians

  7. Asian-American or Pacific Islander Hispanic or Latino 4.6% 8.6% Black or African American 6.8% White, non-Hispanic 77.0% https://www.dpeaflcio.org/factsheets/library-professionals-facts-and-figures?rq=LIbrarians

  8. Library Professionals Mean Annual Earnings $59,795 Librarians $51,715 $38,676 Library Technicians $30,874 $31,665 Library Assistants $27,740 $0 $10,000 $20,000 $30,000 $40,000 $50,000 $60,000 $70,000 Men Women https://www.dpeaflcio.org/factsheets/library-professionals-facts-and-figures?rq=LIbrarians

  9. What biases can affect the hiring process?

  10. U NCONSCIOUS B IAS B EHAVIORS Gender Bias https://www.youtube.com/watch?v=7nJq6des4jg

  11. U NCONSCIOUS B IAS B EHAVIORS Confirmation Bias

  12. U NCONSCIOUS B IAS B EHAVIORS Beauty Bias

  13. U NCONSCIOUS B IAS B EHAVIORS Halo Effect

  14. U NCONSCIOUS B IAS B EHAVIORS Horns Effect

  15. U NCONSCIOUS B IAS B EHAVIORS Leniency Bias

  16. U NCONSCIOUS B IAS B EHAVIORS Strictness or Stringent Bias

  17. U NCONSCIOUS B IAS B EHAVIORS Compare and Contrast Effect

  18. U NCONSCIOUS B IAS B EHAVIORS Personal Similarity Bias or Affinity Bias

  19. U NCONSCIOUS B IAS B EHAVIORS Conformity Bias

  20. R ECRUITMENT : R EASSESS N EEDS  What are the critical outcomes of the position?  Are “traditional” experience and education requirements necessary?  What skills can be learned on the job?

  21. J OB D ESCRIPTIONS  Focus on essential skills and outcomes required over specific experience and education  Avoid jargon/abbreviations  Use inclusive, neutral language

  22. J OB D ESCRIPTIONS Masculine Terms Feminine Terms Confident Cooperative Driven Supportive Rock Star Dependable Ninja Collaborative Leader Interpersonal Skills Decisive Honest Adventurous Understanding

  23. J OB D ESCRIPTION A CTIVITY

  24. J OB P OSTINGS  Advertise within and beyond traditional library job outlets  Ask community partners to advertise openings  Assign a contact(s) who can provide assistance during the application process  Provide as long an application period as possible

  25. A PPLICATION /R ESUME R EVIEW Hiring Bias – Diversity & Inclusion Dramas https://www.youtube.com/watch?v=MRASZPQDPv0

  26. A PPLICATION /R ESUME R EVIEW  “Going Blind”

  27. A PPLICATION /R ESUME R EVIEW  “Going Blind”  Names Latisha and Jamal vs Valentina and Carlos vs Emily and Greg

  28. A PPLICATION /R ESUME R EVIEW  “Going Blind”  Addresses

  29. A PPLICATION /R ESUME R EVIEW  “Going Blind”  Schools / Graduation Dates

  30. A PPLICATION /R ESUME R EVIEW  “Going Blind”  Social Media Profile Pictures

  31. S CHEDULING I NTERVIEWS  Offer varied interview times  Offer a remote interview option  Consider phone interviews  Provide one contact  Clearly communicate the hiring process verbally and in writing

  32. I NTERVIEW P ANEL  3 - 4 interviewers from diverse backgrounds  Awareness of personal biases  Discuss with the panel how to avoid bias during interviews  Avoid discussing candidates between interviews

  33. S TANDARDIZE I NTERVIEWS  Ask each applicant the same questions  Stick to the script  Create a rubric for scoring each candidate  Include “likeability” on the rubric  Rate candidates separately before discussing as a group

  34. I NTERVIEW Q UESTIONS  Ask specific, behavioral questions  Check for bias  Focus on skills and knowledge over specific experience and education  Questions need to be clear and concise while avoiding jargon and abbreviations

  35. S KILLS T EST  Ask candidate to perform a skill or produce an outcome that will be needed for the job

  36. D URING E ACH I NTERVIEW  Allow candidates to initiate physical greetings  Provide an overview of expectations, agenda, and follow up  Be aware of your body language and tone of voice

  37. A FTER THE I NTERVIEWS  Immediately convene panel; discuss possibility of bias (include your own!)  Gather and review rubrics from panelists; check for bias  Conduct a “flip it to test it”  Focus on knowledge and skills, not “fit”  Use the interview as an independent data point

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