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In recent years, Artificial Intelligence has increasingly attracted recruiters. CV analyses, virtual interviews or chatbots: the possibilities seem endless... But it does not put everyone in agreement, especially when it comes to recruitment processes. The complexity of Artificial Intelligence systems weakens their understanding by humans and, moreover, many consider that these systems do not demonstrate fairness. But is it possible to set up an ethical artificial intelligence system?
First, a quick reminder of what Artificial Intelligence (AI) is according to the Collège de France:
Artificial Intelligence (AI) is a set of techniques that allow machines to perform tasks and solve problems normally reserved for humans and certain animals.
Recruiting with artificial intelligence: how does it work?
AI technologies are used throughout the recruitment process. For example, Seeqle offers various candidate acquisition technologies to organizations, including a solution of HR programmatic (or programmatic recruitment) but one more HR chatbot for recruitment making it possible to build a thriving talent pool in a faster and more reliable manner.
Many companies trust these technologies to support them in all or part of their recruitment process and they are right. By entrusting repetitive tasks to AIs, recruiters can free up time to become more efficient and more competitive. This time can be used for tasks where human contact is necessary, such as meeting candidates face to face for example.
But recruitment can have very important consequences on a human life. That is why it is important to Think of automated recruitment processes in an ethical way.
Can AI be ethical?
What makes Artificial Intelligence a revolution is the technology of Machine Learning. It allows an AI to examine a set of data, such as a series of decisions made by a human based on specific information. Then the Machine Learning will aim to teach these AIs to make similar decisions based on future information.
To better understand, let's take the example of your spam filter:
It decides which email to put in the spam folder based on where the email came from and other meta-data, but also based on your previous actions: it's the Machine Learning. If you accidentally mark a message from your boss as Spam multiple times in a row, chances are your inbox will start filtering future emails automatically as Spam.
So, the quality of AI systems depends on the data we put into them. Bad data can contain implicit biases based on race, gender, or ideology. Many AI systems continue to be trained using bad data, making it an ongoing problem. But these biases can be tamed and the AI systems that will tackle the biases will be the most effective.
How to develop an AI to help with ethical recruitment?
Recruiters must therefore take into account the risks of relying on machines to make decisions that have an impact on human lives. They need to be extremely attentive to the data they transmit to the machines, and understand how the Machine Learning.
Identifying and mitigating biases in Artificial Intelligence systems is essential to establish trust between humans and these new technologies.
But don't worry! As this Intelligence finds and understands human inconsistencies in decision-making, it reveals to us how biased and biased we are. Let's take advantage of this teaching to adopt more impartial and egalitarian points of view and to teach them to our Artificial Intelligence systems.
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