AI and Recruiting What the Crystal Ball Holds

AI and Recruiting What the Crystal Ball Holds Sponsored by MightyRecruiter Thanks to machine learning (ML) and the smarts of countless startups, the capabilities of artificial intelligence (AI) keep mushrooming. The use of smart technology in recruitment was a hot topic in 2018, and you can expect it to continue this year. In fact, some predict that 2019 will be the year that AI systems see widespread adoption in the hiring world, coupled with a few ground-breaking developments. How exactly will intelligent software revolutionize talent acquisition over the next 11 months? Although it’s hard to say for sure, we have highlighted five trends that are currently dominating the AI and 2019 recruiting landscape. Find out more below. Identifying non-traditional (but high-performing) talent It can be tricky for a company to find the right candidate for an opening if it is limiting its search to specific job titles and keywords. Advanced AI-powered technologies now have the remarkable ability to function as highly perceptive talent scouts to seek out professionals online that are a perfect fit for vacancies, even if they do not meet all the stipulated job requirements on paper. Complex deep-learning algorithms look beyond the language used in resumes and on LinkedIn profiles to identify and infer skills, values, and dispositions that make for great hires. This means that employers are being connected with brilliant, albeit slightly unorthodox, prospects that they would probably never have located or even considered previously. Needless to say, this kind of worker-to-job matching can greatly benefit recruiters tasked with finding talent for hard-to-fill openings in competitive industries. Predicting future performance and loyalty Predictive analytics sits at the center of AI’s ability to talent scout in the way described above, and it opens up many wonderful possibilities for recruiters. Put simply, this intelligent approach makes it possible to predict how well candidates will perform in a job based on an understanding of the qualities possessed by successful employees at the company. Essentially, it helps recruiters find people whose skills and behavior match those of professionals who are already doing great work for the business. Predictive hiring tools can also be used to determine, with a fair degree of accuracy, how likely candidates are to accept job offers and how long they will stay with a company. AI can even forecast staffing needs, identify the best time to start hiring and the best channels to use. Armed with all this information, employers can, naturally, make much better decisions much faster, and all thanks to ML. Rediscovering former candidates A hot topic in the world of AI and 2019 recruiting is the rediscovery of talent who previously applied for positions at a company; this is well supported by smart software. That is, AI-powered tools like Ideal can be used to sift through a company’s resume database â€" something no human wants to do â€" to pick out former applicants who might be appropriate for current openings. This way recruiters do not have to waste resources searching for new prospects every time there is a vacancy; they can just use AI to check if the right person is already in their existing talent pool. It makes sense to reach out to such individuals as they have already shown interest in the company and, therefore, might be more likely to accept an offer than passive candidates. Improving diversity in the workplace (really, truly) In the early days of AI, it was touted as a tool that could remove unconscious bias from the recruitment process by eliminating the human factor. However, it quickly became clear that algorithms tend to take on the prejudices of their creators. Last year represented a good learning curve in this department (with Amazon having to throw out a “sexist” AI engine), which means 2019 is hopefully the year this issue is addressed and there is the development of automated platforms that truly do remove subjectivity and make way for more diverse and inclusive hiring. There are already several ML tools that claim to do so successfully, and it is promising to know that companies like Google, IBM and Microsoft are developing tools to detect and remove unfairness from AI algorithms. Improving remote hiring Another trend in AI and 2019 recruiting concerns the way in which automation is helping companies to recruit across geographical borders and go more global. Remote work is fast becoming the way of the future, but employers are, understandably, nervous about recruiting and hiring from the other side of the world. Advancements in intelligent prehire assessment tools and AI-powered video interviewing software, complete with natural language processing abilities, make it easier for businesses to screen remote workers in ways akin to meeting with them in person. Sophisticated engines can analyze everything from body language and facial expressions to rate of speech to provide an assessment of a candidate’s personality and truthfulness, which in turn makes employers feel more comfortable about hiring professionals they have never met in person. About the author: Kick off your 2019 recruiting game with  MightyRecruiter.  An intuitive, comprehensive, and transformative recruiting solution, MightyRecruiter allows you to source passive candidates, track and manage applicants,  access an expansive resume database, and take advantage of  Mighty free job postings. Then, hire the most relevant candidates for your jobs, all at  no cost.