From chatbots that interview candidates to algorithms that predict future job performance, the recruiting landscape is changing fast while the search for talent has become more intense.
As artificial intelligence takes on more of the routine tasks within the recruiting function, how do we ensure that it casts the widest net possible while still returning qualified candidates? For example, veterans, older workers, and the formerly incarcerated may possess many of the skills you need but don’t match the “profile” the algorithms are looking for.
In this session, you will learn:
How bias can creep into recruiting efforts in ways you might not have imagined
Best practices for mitigating bias
What to look for (and questions to ask) when selecting or working with vendors of AI platforms