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Video interviews are a step towards overcoming bias in recruitment

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Video interviews are a step towards overcoming bias in recruitment

  1. 1. Bias In Recruitment And AI Why old practices deserve to be challenged and do we really want a meritocracy? Join the conversation /Company/Searchie
  2. 2. Often in recent history, signals identified by recruiters are inherently subjective and can lead to biased decision making. Biased historical human decisions corrupt data which is now being used to create predictive models. How do we train a machine to be less biased if the lessons we have to teach it are unconsciously prejudice? Recruiting Is Intrinsically Subjective Introduction Join the conversation today /Company/Searchie
  3. 3. First year attrition rates 29% in UK Second year unemployment rate 6% in UK Productivity in the workplace has only increased by <2% in USA over 10 years Employee engagement rates 32% in USA What does the data say? Evidence we are getting recruitment wrong -6 -4 -2 0 2 4 6 8 10 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Productivity Percentage change from Previous Quarter Join the conversation today /Company/Searchie
  4. 4. Gender distribution over time at Facebook US, Engineering team 24% YOY Growth in technical headcount; 2019- 2020 Only 7% growth in female representation in the technical team 0 10 20 30 40 50 60 70 80 90 100 2014 2015 2016 2017 2018 2019 Join the conversation today /Company/Searchie
  5. 5. Ethnic distribution Facebook Senior leadership and decision making is a predominantly white male job at Facebook Inclusiveness exists at a lower level of seniority/responsibility 0% 10% 20% 30% 40% 50% 60% 70% Technical Business & Sales Senior Leadership All Roles White Asian Hispanic Black 2 Or More Other 37/6323/77 57/43 33/67 Join the conversation today /Company/Searchie
  6. 6. 17% of Facebook’s talent come from 10 schools, how do they stack up ethnically? Going to one of these schools increases your chances of working at Facebook. But only if you are white or Asian. Top Feeder Schools Ethnic Diversity Facebook All Roles ethnic Diversity 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00% 50.00% White Asian Hispanic Black 2 or More Other Join the conversation today /Company/Searchie
  7. 7. Join me in the conversation LinkedIn Live Every Tuesday 5pm GST Harvey Bennett Co-Founder & CSO | Searchie /Company/Searchie
  8. 8. Where do “The Four” hire from? Facebook top feeder schools (44,931) Google top feeder schools (116,503) 15% in previous 12 months 17% in previous 12 months Amazon top feeder schools (272,377) 11% in previous 12 months Apple top feeder schools (182,105) 5% in previous 12 months Top feeder Join the conversation today /Company/Searchie
  9. 9. New hire job function distribution at “The Four” Disaggregating the data shows Apple and Amazon having a lower concentration of engineering resource Is this a reason for their openness to education? Non-EngineeringEngineering 0% 10% 20% 30% 40% 50% 60% 70% 80% Google Amazon Facebook Apple Join the conversation today /Company/Searchie
  10. 10. In other interesting workforce migratory news from 2019… Intel lost 1,100 people to Apple in the previous 12 months Microsoft lost 566 people to Google in the previous 12 months Join the conversation today /Company/Searchie
  11. 11. Merit is hard to measure because of the criterion problem. It seems like merit may be fairly unfair. How meritocratic is meritocracy anyway? Join the conversation today /Company/Searchie
  12. 12. The problem with meritocracy Measuring and quantifying everything is impossible Many external, unmeritocratic influences Network beats merit 9/10 Join the conversation today /Company/Searchie
  13. 13. Join me in the conversation LinkedIn Live Every Tuesday 5pm GST Harvey Bennett Co-Founder & CSO | Searchie /Company/Searchie
  14. 14. Question to the rich: What is important for success? 0 10 20 30 40 50 60 70 80 150k – 199k200k 100k – 149k 45k – 99k All Others When people are asked what contributes to their success, they believe it is because of their hard work and merit Nothing to do with the luck, social background or ethnic group then. Join the conversation today /Company/Searchie
  15. 15. Why it matters Engagement is low Reduce inequality Attrition rates are high Join the conversation today /Company/Searchie
  16. 16. The data disaggregation paradigm Without disaggregated models and data you cannot be truly representative of the population. The cost, time and speed to acquire data/train multiple disaggregated models is difficult to overcome. Join the conversation today /Company/Searchie
  17. 17. How much are we prepared to share to be predicted? Predictive accuracy Intrusiveness The greater the volume of signals and the closer the context to the truth (and consequently, the more intrusive) the more effective the prediction model. Where should we draw the line? Join the conversation today /Company/Searchie
  18. 18. In Summary Your hiring patterns may be telling you a story you are not aware of Training machine learning on biased data will give you more of the same Avoid arbitrary recruitment decisions, strive for predictive validity Join the conversation today /Company/Searchie
  19. 19. Join me in the conversation LinkedIn Live Every Tuesday 5pm GST Harvey Bennett Co-Founder & CSO | Searchie /Company/Searchie

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