Artificial Intelligence (AI) is the new buzzword, and we are constantly hearing or reading about Artificial Intelligence in the news, like the development of self-driving cars or driverless cars. Anyone interacting with a chatbot on any website is an AI tool. But did you ever wonder how exactly artificial intelligence in talent acquisition is used now-a-days? Before deep-diving into how AI plays a major role in the recruitment industry, let's learn about talent acquisition. Gartner defines Talent Acquisition is the process of identifying organizational staffing needs, recruiting qualified candidates, and selecting the candidates best suited for the available positions. The stakeholders include recruiters, HR managers, hiring managers, and top-level executives. The team's goal is to identify, acquire, assess, and hire candidates to fill open positions within the organization. For the majority of organizations, the talent acquisition team will be part of the HR team. In a few larger organizations, talent acquisition is a different team that collaborates with the HR team.

Machine learning can help mitigate the biases present within organisations' recruiting practices Artificial intelligence has often been portrayed as dystopian when it comes to human resources. In one famous example from 2018, Amazon used it significantly in the hiring process but ultimately had to pull the plug when it was revealed that the algorithm was biased against women. The AI was identifying candidates who used masculine words as successful candidates, and instead of addressing this flaw, it reinforced sexism. Yet technology has come a long way in just the last few years. Machine learning is now being used to tackle the problem of bias within hiring decisions, not just looking coldly at performance metrics.