AI Explainability What?!
First, this is a big deal and I’ll explain what it all means and why you as an HR pro or Recruiting Pro should care.
AI is being built into almost every part of the HR and TA tech stack. Algorithms and Machine learning are having a massive impact on how we find, offer, develop, and promote talent in our workforces, so having an understanding of how this is happening is very important to the risk side of HR.
What is an AI Explainability Statement?
Basically, it’s the behind-the-scenes stuff you don’t think you want to know. It’s how the sausage is made, and it matters a great deal. You want to know that the tech you are using is reducing bias and not putting your company at risk of a lawsuit. You also want to know how and why your tech is doing what it’s doing.
HireVue didn’t have to do this. No one else has to this point. But, it’s important they lead with this as they probably have caught more flack than anyone else in our industry over how their technology was selecting one candidate over another based on some early testing they did with facial analysis technology, that they no longer use and haven’t in years.
What is HireVue’s AI Explainability Statement?
Okay, first, let me give you the overview because the actual statement is more like a white paper that is 29 pages long! Here’s the overview:
HireVue considers the ethical development of AI, candidate transparency and, privacy to be core values of the business. HireVue’s AI Explainability statement is the latest proactive step to ensure that its technology is at the forefront of emerging best practices in the use of HR hiring technologies. The Explainability Statement, together with previously commissioned independent audits, provides customers with meaningful information about the logic involved in HireVue’s technology. Together they are the latest tools to help companies understand the processing of personal data.
You can click here to read the full statement (and Yes, it’s worth a read if you’re using AI-based tools in your HR & TA Tech Stack!)
Why does this matter?
I’ll let the chief data scientist at HireVue explain:
Lindsey Zuloaga, Chief Data Scientist at HireVue: “Being at the forefront of defining the transparent and ethical use of AI and software is at the heart of what we do. Our mission is to create a level playing field for anyone seeking employment, reducing bias and providing organizations with a more diverse pool of talent. Deploying AI correctly and ethically, powers a significantly more consistent, less biased, more engaging screening process for recruiters and candidates alike. We believe there needs to be more transparency around its use in HR, this is why we’ve published our own AI Explainability statement, to best support our customers and educate the industry.”
Here’s what we know after using AI-based hiring tools for a few years now:
- AI does what it’s trained to do. So, if you train it inappropriately, it will act inappropriately.
- AI has the ability to significantly reduce bias and increase fairness in hiring as compared to manual processes where we just leave hiring to humans and our guts.
- We can constantly monitor and correct AI. We are less likely to constantly monitor and correct our human hiring managers.
Big Kudos to HireVue for being the first out of the gate to do something like this. They’ve taken a lot of criticism for some things they’ve built and tried in an attempt to make hiring better that didn’t go as they planned, but they’ve corrected and taken a lead within the industry from this learning. This is exactly what you want from a vendor you rely on to help you make consistently better hiring decisions.