AI fairness is an economic and social imperative. Here’s how to address it

AI fairness is an economic and social imperative. Here’s how to address it

Artificial Intelligence (AI) is providing an increasing number of recommendations to human decision makers.





We must therefore make sure that we can trust not just AI but also its whole ecosystem.





The notion of fairness itself is fluid and requires a multi-stakeholder consultation.



Humans have many kinds of bias; confirmation, anchoring and gender among them. Such biases may lead people to behave unfairly and, as such, as a society we try to mitigate them.

This is especially important when humans are in the position of taking high-stake decisions that impact others. We do so via a combination of education, conduct guidelines and regulations.

Now that artificial intelligence (AI) is providing an increasing number of recommendations to human decision-makers, it is important to make sure that, as a technology, it is not biased and thus respects the value of fairness.

Indeed, those initiatives that aim to make AI as beneficial as possible (related to AI ethics) include AI fairness as one of the main topics of discussion and concrete work.







It is time to identify and suggest a more comprehensive view of AI fairness; one that covers all dimensions and exploits their interrelation