Don’t Hire Based on Data Science and Machine Learning (Yet)
Don’t listen to what HR-tech vendors say: algorithms are still too opaque and systemically biased
The war for talent has resulted in companies desperately looking for options to win. Yet, they are often pressed for time. Budgets are also getting tighter with each quarter. The war of talent is also exacerbated with time, as McKinsey predicted that the global workforce will be 40 million too few college-educated workers. As such, 38% of employers have difficulty filling jobs, as shown by ManpowerGroup’s recent Talent Shortage Survey.
Hence, companies are now looking at the recent hot developments in the HR-tech marketplace: artificial intelligence system that source, screen, and hire the best candidates, tailor-made to the company that wants to hire.
The latest paradigm shift has introduced a new way to hire in 2020 since employees are increasingly disloyal. Millennials and Gen Zers — who are notably disloyal according to data — are gradually occupying more positions in the global workforce.
Companies need to reverse this trend, but incumbents are notoriously resistant to change. They are either too heavy or too stubborn to move, which results in employees to continue working in silos.
