Technological progress in today’s society has reached unprecedented levels; the World Wide Web did not even exist thirty years ago, while smartphones as we know them today have barely been around for a decade. Now, an even more sophisticated tool is at the forefront of changing the way we live – Artificial Intelligence (AI).
McKinsey’s Global Institute model predicts that approximately 70 percent of companies will adopt some form of AI by 2030, and that countries which are able to establish themselves as AI leaders could capture up to 20 to 25 percent more economic benefits than current levels. In recent years, one particular use of AI has become a point of contention – the use of AI in recruitment.
AI in Recruitment – What Does it Entail?
AI has been said to be the future of many things – and recruitment is no exception. Recently, HR professionals have been increasingly looking at AI to automate and optimize the recruiting workflow, which has allowed recruiters to focus their time on more value-adding tasks. Below are just a few examples of how AI in recruitment has increased efficiencies and led to better job matches.
CV screening: Based on factors including the skills and experience required, AI may be used to efficiently sort and select candidates based on their CVs. This has meant more efficient talent sourcing and matching, and the rediscovery of talent from past applications.
Improving the candidate experience: AI can be programmed to provide real-time feedback to candidates, thereby reducing recruiters’ workloads and minimizing candidate frustration.
Removing implicit biases: Purported to rid hiring practices of human biases, AI has been said to be able to focus solely on the skills and experiences of candidates, thereby supporting a more diverse workforce.
Overlooking atypical qualities and experiences: Should AI prioritize a candidate who has taken on multiple responsibilities in a lesser-known company, or one who has interned at a Fortune 500 company?
Program limitations: AI software is not written by itself; a program may only be as good as it has been programmed to be, and understand as many scenarios as it has been taught.
Learning human biases: As in the case of Amazon, machines can learn the implicit biases of humans and amplify them in every decision that it makes.
The key, therefore, is in achieving a delicate mix between artificial intelligence and human intelligence, as eventhe most sophisticated software in the world would not be able to learn the human instinct a HR professional might have for the right candidate. And this would be even more so for an industry as focused on human connections as hospitality.
AI Recruitment in Hospitality
As hotels become social hotspots and luxury becomes more about the experience than the indulgence, the hospitality industry has become more reliant than ever on finding the right talent to serve the corporate values and live out its tale of service excellence. Yet, talent acquisition remains one of the key challenges of the hospitality sector, plagued by the common misperceptions of working in the service industry. This underscores the importance of matching the talent that do come through, to the right brand and position – and AI is increasingly being put forth as that Holy Grail.
What if an AI program could accurately tell you that your next candidate has a high likelihood of performing well in your company, and that he would best fit in a Kimpton Hotel rather than an InterContinental – even before he has stepped into the interview room? The InterContinental Hotel Group’s (IHG) predictive technology has been one of the first on the hospitality scene, similar to Hilton’s Ally, which has been used to automate recruitment for their contact centers.
At the same time, person-job misfits often occur because candidates themselves do not understand which kind of workplace environment would suit them best; neither does it help that we live in an era of simply sending out five-hundred copies of your resume and hoping that you hear back on one of them. This is an issue which Marriott International’s Marriott Careers (MC) chatbot could tackle, through features such as a quiz which helps potential candidates understand which of its thirty brands would best fit them.
Yet, the possibilities of AI do not simply end there. For multinational brands, AI-programmed recruitment practices could mean the ability to re-allocate strong applicants to relevant (and perhaps better-suited) open positions elsewhere in the world, thereby allowing such brands to retain talent in the company. There is also potential for AI to make employment a two-way street; rather than only looking at the competencies of candidates, AI could enable us to assess the profiles of our current employees, identify the gaps, and hire specifically to fill those gaps. This could mean a better-rounded workforce which is better able to cater to different situations and guests’ needs.
The hospitality industry is becoming increasingly focused on personalization and customization, and it seems that the hospitality recruitment sector too is jumping on this bandwagon – perhaps we could one day filter through open positions based on our personalities and ambitions?
Predicting the humanness in humans – or taking the human touch out of hiring?
With the far-reaching capabilities of AI, one may wonder if it may be used not only to predict the future performance of a candidate, but also to transform the hiring process. Many recruiters today emphasize hiring for attitude rather than skills, but it is not always easy to walk the talk when hiring decisions can become so subjective. Could AI thus be programmed to determine if we should take a chance on a less-experienced hospitality graduate with the right personality and all the enthusiasm in the world, over an average-performing applicant who already has two years of industry experience?
While the use of AI may take a while to become the norm in hiring, it is not difficult to imagine the implications of having fully automatized CV-screening processes. ‘Machine learning’ equates to codes and formulas that can be learned by humans – which means that it may not take long for someone to crack the code and begin producing ‘AI-optimized CV templates’. Ironically, this could also mean taking the creativity and personality out of the individualized CVs that applicants need to have now, in order to catch a recruiter’s eye.
From an employer’s perspective, interviews are also an opportunity for hiring managers to ‘connect’ with potential employees, and to understand and assess situations in ways that a machine may not be able to. It is also important for potential employees to feel sufficiently valued, for the company to take the time for a face-to-face interview rather than simply be put to talk to a machine; for an industry built on creating human relationships, it would seem almost a tad ironic to rely on a machine to assess the suitability of a candidate for its demands. Nonetheless, these managers more than likely possess the one thing that AI seeks to eliminate – implicit biases. An AI may lack that human touch, but never has a human been a hundred-percent flawless either, so where should we draw the line?
The use of AI in recruitment still lies in the testing stages, with many HR professionals and candidates alike expressing skepticism towards the reliability of such software. Perhaps AI could simply be used to ‘cold-sort’ candidate profiles and improve efficiencies, while interviews and final decision-making processes lie with the hiring manager; after all, artificial intelligence should support, not replace human intelligence. As these programs continue to evolve, it would also be interesting to think of AI not just as a tool to make our lives easier, but as a stepping-stone to potentially change the way we hire and how we see value in a candidate’s skills and attitude.
AI: Our Tomorrow?
The use of AI in recruitment is no temporary phenomenon. As the hospitality industry continually seeks to automate and streamline its processes to drive operational efficiencies, AI-automated hiring practices may soon become a necessity. This means that perhaps sooner rather than later, you may see your CV being screened by an AI software (if it isn’t already), or find yourself in a video interview, where your language and facial expressions are being analyzed by an AI.
While this prospect of having your every word or twitch of an eye examined by a machine may seem almost dystopic, we have evolved immensely from when the first online job platform was created twenty-five years ago. Today, LinkedIn has made our professional lives a continuous self-marketing process; everything you say or do professionally is already being scrutinized by the online community – so could AI be our tomorrow?