We’re all exposed to Artificial Intelligence (AI) and Machine Learning (ML) on a daily basis, in fact we probably don’t realise quite how much we use it. HR technology is capitalising on the use of AI to make efficiencies by automating the workflow. This automation of the workflow has changed how we, as recruiters, discover and hire our talent.
How have AI and ML developed
The first very basic forms of AI were developed in the 1990s, the first many of us saw of this ‘new’ technology was most likely in films such as ‘The Terminator’. Luckily ‘The Terminator’ has not surfaced in real life, however, products such as Amazon’s Alexa are what we would see as modern day AI in use.
AI and ML have allowed recruiters to use algorithms for sourcing candidates, screening and scheduling. This has resulted in:
- Time savings
- Improved responsiveness
- Improved candidate experience – therefore attracting top talent
How have AI and ML improved recruiting
Trying to schedule an interview is sometimes a tedious and drawn out process, but with virtual PA’s, the process becomes smoother and more efficient for both parties.
It allows us to spend more time on tasks best done by us, humans!
Let’s face it, some tasks are better left to us. Using AI and ML programs to create a group of the most relevant candidates means that we can then interact with this elite group, to ensure that we snare the best talent.
A relatively new company called Interviewed have produced a solution to help you decide whether a candidate would be a good fit for your company. It speeds the vetting process by providing online simulations of what applicants might do on their first day as an employee, even down to how often they say please and thank you!
When using a standard ATS it is easy to miss the perfect candidate by ruling them out, due to a slightly differently worded job title. With AI and ML, using conceptual search tools will pick up candidates with relevant skills, even if the text doesn’t match your job description.
Products such as MightyRecruiter, have developed a new vector space matching technology that automatically sorts candidates based on their relevance to a job description. This is AI matching a number of different words and pieces of information in a CV and using this to judge suitability for a role.
Whether we like it or not, AI and ML are here to stay
We may think that as humans, we can recruit better candidates than a machine. Although this may be the case it would take us longer, worsen candidate experience, and our competitors using these machines will have snared the best talent first!
It seems that with a mix of automation and human skill, we are in the best position to attract top talent for our positions. We look forward to what the future brings in the form of AI and ML technology in recruiting.
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