Computer Says No [AI hiring documentary]
bbc.co.uk
bbc.co.uk
> If you’re applying for a job today, your application could go through several stages before it is seen by a human. BBC journalist and former recruiter Daniel Henry deep dives into this new world of algorithm and computer-automated hiring. Daniel’s journey begins at the first stage of a job application – writing your CV. At the University of Liverpool, he is given tips from their student career advisors about how best to tailor his CV so it isn’t rejected by software used to select applicants to progress to the next stage. Stage two is often a video interview, which again could be marked automatically on the basis of a computer programme searching for key words.
> In a series of exclusive interviews, Daniel reveals the story of three former employees of Mac Makeup who lost their jobs in part due to a video interview, which used facial analysis technology. Disgusted that their interviews were not even reviewed by a real person, these women took legal action against Estee Lauder, eventually reaching an agreement outside of court. Hirevue, whose platform was used in this redundancy process, defend their platform against any accusation of bias. They have since dropped the facial analysis technology from their products.
AI is built on hundreds of thousands of data points, to accurately utilize it you have to depend on people to input the right data, in this case job seekers accurately listing abilities, skills or nuances of their experience within a specific industry. Given the slight idea of where these platform get their data, the AI model should give a yes for an applicant that work well as cog in the machine, which might worked well for most companies, but you might be missing out on the anomaly data/applicant make your startup the next unicorn.
Then again, humans are good at doing human things.