Putting the People First while building AI systems
Pablo Junco argues that beyond building high-performing systems, IT professionals must embrace Responsible AI. Because AI can make decisions affecting people’s lives, it introduces risks like bias, unfair outcomes, and harm. He defines Responsible AI as ensuring systems are fair, reliable, safe, transparent, and accountable. He highlights risks from data, models, and usage scenarios, and stresses early identification of sensitive use cases. Junco emphasizes transparency (traceability, communication, intelligibility) and the need for strong governance and ethical principles. Ultimately, he calls for combining technical excellence with responsibility to ensure AI benefits both businesses and society.
