Logo Are You A Robot

2020-12-07

How AI Stopped You Getting That Job

Merve Hickok

Have you been thinking about how our data is collected and what exactly it is used for? What about bias in recruitment? In this episode, Merve Hickok, Founder of AIethicist.org & Lighthouse Career Consulting, discusses how little we know about how our data is being collected in our day-to-day lives and how AI affects our chances of getting our dream job.

In our most recent episode of Are You A Robot?, Merve explains that our data is constantly being collected, and we need to understand the implications and consequences in order for some sort of regulation to form. With the advancement in technology, we have helpful little machines all over our homes. Our smart refrigerators, heaters, doorbells, phones, Alexa. Our data is constantly being collected: from the moment we wake up until we to bed. We can’t escape when we leave our homes either. We are under surveillance via CCTV cameras or other technology we might use at a bank, clothes shop or even McDonald’s. It never stops: data collection continues throughout the night on our smart watches, measuring how well we sleep.

“For there to be any governance there needs to be a critical amount of people demanding change”.

Merve explains that people need to be aware about how companies are using technology to collect our data and use it against us. For example, posting a political opinion on Twitter or Facebook might lower the chances of getting a job. Awareness around unethical uses of technology is the key to bringing change and regulation.

Social media tracking isn’t the only way that recruiters use AI. In this episode, Merve explains the many uses for machine learning and algorithms in recruitment. For example, automating admin and interview processes. All have potential ethical issues, but most prominent being facial analysis systems. This AI system makes a decision to filter potential candidates due to many factors. Merve delves deeper into these issues, but the most obvious problem here is that this facial analysis system is very likely to be trained on biased algorithms.

Merve believes that better regulations is needed within all industries, not just recruitment. A solution to AI bias in this industry, however, is bringing in third party auditors to review and process applications.

How do you think we can raise awareness as to how our data is collected? How can we use technology in an ethical way in recruitment? Join the conversation in our Slack community and let us know what you think!

What are your thoughts? Join our Slack channel and join the conversation!

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