The rapid rise of Ai hit everyone differently. Some people have pursued this new and ground-breaking technology with a passion, while others are more cautious in their approach- and some are even downright frightened by the prospect. No matter where you stand, one thing is certain: Ai has changed the hiring process.

Before Ai, Hiring managers would have to watch closely for patterns of behavior, vocal changes, inflection shifts, signs of discomfort, or "fidgeting" to know if a candidate with being forthcoming about their experience - not to mention the myriad of other things they have to be aware of in the interview process.

Today, Ai in the hiring process can be trained to do all of those things. In an effort to make more informed decisions, many companies are now turning to Ai-based tools like digital candidate sourcing, resume parsing, applicant tracking systems (ATS), and interview intelligence software. What's incredible about Ai, is that it learns actively in the background with every single interaction or repetition that you put it through. This means that the better and more experienced the Ai becomes, the better it can understand what is being asked of it and consequently, the more accurate its response will be.

Now there are disadvantages of Ai in recruitment. First, if you choose the wrong platform, it can not only be expensive but also inaccurate. The reason for this inaccuracy is that Ai is only as good as the data that is put into it. So if you don't have the best data to start with, you're going to end up with less-than-ideal results. Secondly, although having the ability to quickly and accurately analyze a candidate can be advantageous, it does come at the expense of human interaction in some cases - which may not always be desirable, especially as you're trying to build a great company culture.

This is why Pillar's Ai powered interview intelligence software uses Ai to analyze interviews, not replace human interaction. The platform connects a handful of features like interview scheduling, automated introductions, and candidate analysis/ scoring in the background rather than as a replacement for human interaction.

Overall, artificial intelligence in the recruitment process is becoming more and more common, as it offers huge advantages for companies looking to streamline their hiring process. We believe that a combination of human interaction and Ai will continue to be the future of recruitment, allowing employers to make better-informed decisions about potential employees.

Ai in recruitment statistics shows that video interview platforms that focus on connection, but also automate non-human tasks will win the war for talent.

AI In The Hiring Process, Bias

Bias is one of the topics we've seen investigated at length recently. As humans, we'd love to say that we carry no bias toward another human being that could affect their career and potentially, their future - but that's not true.

Ai is not infallible. Again, it uses the data that it's given to make decisions based on what we've indicated that we want. Ai bias examples have shown up recently in the news in situations like Amazon's Ai recruiting tool showing gender bias - which is why they scrapped the platform and they're rebuilding a data set that removes gender-based components.

The good news is, Ai can eliminate human bias when it comes to hiring. If used correctly, it can make decisions based on the qualifications, abilities, and skills of a candidate instead of their gender, age, or race. One example of this would be an ATS that uses natural language processing (NLP) to scan resumes for keywords and phrases that indicate experience and qualifications. This helps to eliminate bias that could be present in a human reader, while at the same time, selecting the most qualified candidates for an open position.

Interview intelligence software that's powered by Ai and programmed to remove any gender or race bias from our hiring processes leaves us with more objective results based on that applicant's skills alone. In addition, Ai in the interview process can unlock candidate insights that we never would've seen as a fit.

Overall, Ai in the hiring process eliminates bias and gives us deep insights into a candidate’s true potential. This helps to make sure that the best-suited candidates are hired for any given role so companies can continue to build great teams with amazing company culture going forward.

AI In Recruitment Examples

The importance of using Ai in the recruitment process is clear: it saves time and cost while also providing an unbiased approach for candidates to be evaluated. There are a few Ai in recruitment examples that make it easier to understand how this works:

1. Automated Sourcing – AI can search through different job boards and resume databases to identify potential candidates and reach out on behalf of the recruiting team. This helps streamline the sourcing process, saving HR teams and recruiters time.

2. Automated Interview Scheduling – AI can reach out to potential candidates and schedule interviews in a matter of minutes, drastically freeing up time that recruiters would have otherwise spent scheduling interview times. This automation is easy to set up and requires no ongoing effort from HR teams.

3. Pre-Screening Assessment – AI-powered platforms can scan CVs/ resumes in order to assess the qualifications of potential candidates and identify those who are best suited for the role. This helps to eliminate bias and create a more level playing field for all applicants to an open role.

4. Automated Messaging – AI can help recruiters reach out to potential candidates with personalized messages, helping them build relationships with prospects faster than ever before. When combined with everything we've mentioned previously, this feature alone can save hours per week for an HR team since they only have to focus their attention on individuals who are responsive.

5. Interview Intelligence Software - AI-powered interview software can help companies eliminate bias from the hiring process. By using Ai in interviews, companies can not only collect better candidate data but also see if their recruiters are expressing bias in interviews and coach their teams to be more objective in the hiring process.

These are just a few examples of how Ai in HR examples can simplify the interview process and create a better CX along the way. Think about how you can leverage the power of Ai to find the best candidates and build a great company culture, and teams that perform at the highest level!

AI Recruiting Tools

Artificial intelligence in recruitment and selection may seem like a new thing after all ChatGPT online launched in Nov. of 2022, but it's not. Companies have been using Ai recruiting tools for several years now. Most are actually ML (machine learning) technologies at their core, but they use "Ai-like" features to offer the benefits of ai in recruitment to companies large and small.

The best Ai recruiting tools are designed to automate tasks like resume review, candidate sourcing and analysis, job matching, and interview scheduling. Some of the most popular Ai recruiting platforms on the market today include:

1. Lever - Lever is an ATS system that offers powerful recruiting features and automates the entire candidate sourcing process.

2. Greenhouse - Greenhouse is a comprehensive HR platform with an integrated ATS system that helps companies find qualified candidates faster than ever before. It uses AI-powered tools to automate repetitive tasks like resume sorting, interview scheduling, and job matching.

3. Paradox -  Paradox is a predictive Ai recruiting (digital assistant) system that allows companies to quickly find the right talent for their organization. It uses big data and AI algorithms to match job seekers with open positions.

4. HireEZ - HireEZ is an outbound recruiting platform that recently integrated with OpenAi's ChatGPT3.

5. Pillar - Pillar's video interview platform and Ai powered interview intelligence software is used by some of the world's fastest-growing tech companies to find qualified candidates quickly - saving HR teams and recruiters time and money.

There are many other AI recruitment platforms- and more are coming to market each day. The goal of Ai recruiting tools is to make your job simpler and get great results. This can lead to greater success and productivity from teams, as well as faster time-to-fill rates for open positions.

The future of Ai in recruitment looks very promising. As more AI-enabled systems are developed, the technology will become smarter and more efficient at finding the best candidates for a given job role. Companies that invest in Ai recruiting tools now will surely reap the rewards for years to come with better teams and faster innovation.

Ultimately, AI can help companies make more data-driven decisions, decrease bias and create a more level playing field for all applicants to an open role. It's no wonder why so many businesses are embracing this technology - it has the potential to revolutionize their recruitment stack!

If you've seen less than satisfactory results from your current hiring stack, and you'd like to see how our team has helped companies like Wistia lower employee turnover by 50% over the past 12 months, book your demo to see how we do it!