Publications

Witnessing the evolution of this technology made me realize that we desperately need to outgrow the merely technical conversations on AI models and frame them as something greater: the problems that AI can solve for people, along with its implications. Every facet of AI, from validation, debugging, and exploration to interpretability, governance, and fairness, should be first codified through the lens of human needs. 

 

In a world driven by mechanical processes that none dares to question, humans should become the pivot of the AI’s design and development. Humanizing AI involves applying AI with a purpose where it matters to people. To do that, we need experts that can balance the power of AI with our human virtues: critical thinking, curiosity, empathy, love for the truth, relentless innovation, and honesty. 

 

In the book, I make a case for the need for a new generation of professionals that I named data-savvy humanists: they will be the ones who will keep algorithms in check; they will be the future of organizations, the ones pushing them forward by transforming data and algorithms into grand visions illuminating companies’ path towards a responsible (and meaningful!) AI-powered transformation.