These are complicated and evolving technologies, so a one-sized approach might not work for you.

Artificial intelligence (AI) is a hot topic among recruiting pros. Experts are clamoring to comment on the possibilities, raise concerns, and even downplay AI's abilities. But put aside the controversy and excitement for a moment. The question that really matters for our industry is this: In what ways can AI truly meet the needs of talent acquisition professionals? Below, we survey a few of the forms AI commonly takes in recruiting. We'll outline some pros and cons of each instance of AI, delving into how these technologies can both hurt and help talent acquisition professionals: Intelligent automation is a form of AI that collects data and analyzes it to yield new insights and make better decisions.

Talent acquisition can be one of the most time consuming and frustrating aspects of business. Harsh deadlines and specific requirements, not to mention the piles of applications and resumes, is tough for any recruiter. Tack on retention accountability, candidate experience and employer branding and the job becomes even harder. The emerging HR technology throughout the last decade has strived to take away these many frustrations while improving candidate experience and quality of hire. The buzz around artificial intelligence this year is being shrugged off by many as just a new word HR got ahold of, but what would happen if AI was actually embraced by the recruiting and hiring world?

Employers love job candidates with impressive track records. But when we on the hiring decision-making side start gaining experience in recruiting, there is a dark side that we need to be aware of if we still want to be effective. Customer support is rapidly changing. What is next in the world of customer support? Considering that 66% of millennials rate life outside of work as more important than their career, chances are that the candidates you are looking for aren't spending much time looking for you.

Talent acquisition can be one of the most time consuming and frustrating aspects of business. Harsh deadlines and specific requirements, not to mention the piles of applications and resumes, is tough for any recruiter. Tack on retention accountability, candidate experience and employer branding and the job becomes even harder. The emerging HR technology throughout the last decade has strived to take away these many frustrations while improving candidate experience and quality of hire. The buzz around artificial intelligence this year is being shrugged off by many as just a new word HR got ahold of, but what would happen if AI was actually embraced by the recruiting and hiring world?

Talent acquisition can be one of the most time consuming and frustrating aspects of business. Harsh deadlines and specific requirements, not to mention the piles of applications and resumes, is tough for any recruiter. Tack on retention accountability, candidate experience and employer branding and the job becomes even harder. The emerging HR technology throughout the last decade has strived to take away these many frustrations while improving candidate experience and quality of hire. The buzz around artificial intelligence this year is being shrugged off by many as just a new word HR got ahold of, but what would happen if AI was actually embraced by the recruiting and hiring world?

Talent acquisition can be one of the most time consuming and frustrating aspects of business. Harsh deadlines and specific requirements, not to mention the piles of applications and resumes, is tough for any recruiter. Tack on retention accountability, candidate experience and employer branding and the job becomes even harder. The emerging HR technology throughout the last decade has strived to take away these many frustrations while improving candidate experience and quality of hire. The buzz around artificial intelligence this year is being shrugged off by many as just a new word HR got ahold of, but what would happen if AI was actually embraced by the recruiting and hiring world?

The first time I used Waze was a revelation. This was not because of the network effects it generates, but more importantly, because of how transparently the application's user interface (UI) exposes them. This means every time I open the Waze app, I'm implicitly participating in the system. In doing so, I help improve every other user's driving experience, and as an added bonus, all the other Waze users participating around me improves mine, too. This example shows that when you're an active participant in the learning loop, everyone benefits – in this case, because everyone reaches their destination faster than we could by ourselves.