Ep 208: Explaining AI In Recruiting (Part 2)
Jon Krohn talks to Matt Alder
Recruiting Future with Matt Alder - What's Next For Talent Acquisition, HR & Hiring?
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Show Notes
Following on from my conversation with Megan Butler about the state of the market for AI in recruitment, for the second part of this mini-series explaining AI and Machine learning, we are taking a deep dive into the technology and terminology itself.
My guest is Jon Krohn, Chief Data Scientist at recruiting technology company Untapt. Jon is also a lecturer, researcher and author in the field of machine learning, deep learning and natural language processing. This interview goes into a huge amount of detail into the definitions and mechanics of AI (in an understandable way!) as well as exploring current and future applications for recruiting.
In the interview, we discuss:
• The role of a data scientist
• AI and sorting the mail
• Building predictive data models
• Machine learning versus deep learning and how Siri got clever
• Data engineering
• Adoption and bias
• Current and future applications of AI in recruiting