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Is AI Better at Recruiting Than Humans?

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A study of earlier studies that evaluated the efficacy of AI as a recruiting tool was done by researchers in London. And AI is “better than or equal to” human recruiters in selecting candidates who will succeed in their jobs. In spite of the fact that artificial intelligence (AI) is being used more and more in recruitment and other works of life, we wonder if AI can be used to play kasyno bonus and produce great results. 

Many believe it can help to reinforce stereotypes and keep out qualified applicants. But according to a recent study from the London School of Economics, AI is more effective than humans at many tasks and exhibits less bias in terms of hiring. To debunk this confusion, let’s start by looking at a few instances of how AI has improved job matches and increased recruitment efficiency in contrast to human intelligence:

  • CV inspection. AI could be used to effectively filter and choose applicants based on their CVs, considering aspects such as the experience and skills necessary. As a result, talent matching and sourcing have become more effective, and talent from prior applications has been rediscovered.
  • Enhancing the employee experience. AI may be designed to give candidates immediate feedback, which will lighten the effort of recruiters and keep candidates from becoming irate.
  • Eliminating implicit bias. AI can focus purely on the talents and candidates` experiences, fostering a more diverse workforce by eliminating human prejudices from hiring methods.

Although these AI programs may have the best of intentions, utilizing them to hire humans, who form the foundation of any business, comes with risks. These consist of:

  • Ignoring unusual traits and experiences. Should AI give preference to an applicant who has held several positions in a small business over one who has worked as an intern at a Fortune 500 firm?
  • Program constraints. AI can only function according to its program to understand as many scenarios as possible; it cannot be created by itself.
  • Discovering human biases. Machines can notice implicit human biases and amplify them in every choice they make, as was the case with Amazon.

Because even the most advanced software would not be able to learn the human intuition that an HR expert would have for the ideal candidate, the challenge is in achieving a fine balance between human intelligence and artificial intelligence. This would be especially true for the hospitality sector, which is heavily reliant on interpersonal relationships.

AI hiring in the hospitality sector

The hospitality industry is more dependent than ever on hiring the right talent to uphold the brand culture and live out its story of service excellence as hotels turn into social hubs and sophistication becomes a matter of experience rather than indulgence.

However, due to widespread misconceptions about continuing to work in the service sector, talent acquisition continues to be one of the major challenges facing the hospitality industry. This emphasizes how crucial it is to match the talent that does emerge with the appropriate brand and position; AI is increasingly presented as this Holy Grail.

Takeaway

Our position is that before implementing AI, we should objectively evaluate human and AI results, and if AI is superior, then AI should be used. Do not only think hypothetically; test it out.


Zuella Montemayor did her degree in psychology at the University of Toronto. She is interested in mental health, wellness, and lifestyle. 

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