Data and AI in Hiring

Who gains?

• employer spends less time and effort and money interviewing
• people who fit the model
• people who have an in / know someone / can prepare

Who loses?

• people who don’t fit the model
• employers who miss out on employees who could be good
• people who aren’t prepared for this format / aren’t as extroverted

What are the ethical issues?

• lack of transparency - what are your rights? what’s the harm to the person?
• unsure about fairness of algorithm - is there harm?
• is social media a fair representation of who you are?
• current approaches are often based on fit
  • sometimes fit results in better communication
  • sometimes fit results in picking people like you
  • sometimes fit means people you like but who don’t do good work
  • maybe AI doesn’t do fit and takes out bias

Where’s the data

• models built on existing employees
  • who are these employees and are they the best?
  • can test the value of the model by hiring / interviewing and seeing results