Predictive AI: The challenge of responsible personalization

Artificial intelligence and advanced analytics have become a powerful predictive engine. Algorithms match supply and demand, determine outcomes, and filter choices. However, there are also challenges around how to do it responsibly: bias, equity or risk mitigation are only some examples. How can we develop predictive systems that are compliant within the EU AI Act, personalize without discrimination, are transparent… and remain competitive?