Perhaps it is the word literacy itself. It suggests that there is a threshold to cross: first we do not know how to use something, then we learn, and eventually we become literate. We have seen this before with computers, with the Internet, with digital tools. It is therefore natural that organisations are now trying to make their people “AI literate”.
For most of my life, I have lived in a world in which knowing things mattered.
That may sound obvious. Of course knowledge matters. But I mean something more specific. Knowledge was scarce enough to create value in itself.
If you knew how a computer worked, you were valuable because most people did not. If you could write software, understand a telecommunications network, analyse a complex organisation, interpret a regulation or navigate a large technological system, that knowledge differentiated you from others.
For decades, we designed architectures to make machines communicate. Artificial intelligence is forcing us to confront a more difficult problem: how machines, knowledge, decisions and people act together inside an organisation.
For years, artificial intelligence has lived between two competing narratives.
One promised abundance: scientific discovery, higher productivity, personalised medicine, better education and machines capable of extending human intelligence.
The other warned of catastrophe: autonomous systems escaping human control, superintelligence pursuing objectives incompatible with ours, perhaps even human extinction.
Until recently, it was relatively easy to classify the second narrative as the territory of AI safety researchers, philosophers and so-called “doomers”.
That distinction is becoming harder to maintain.
Greetings, and a very warm welcome to my personal website. It is a pleasure to have you here.
This space is dedicated to sharing insights, expertise, and reflections I have developed over the years at the intersection of technology, social sciences, and organizational change. My work has always been guided by a strong belief that innovation is not only about tools and systems, but also about people, culture, and the way we build more inclusive, resilient, and forward-looking societies.
Within these digital pages, you will find a curated collection of content spanning my professional experiences, research contributions, and ongoing explorations. Some of this work focuses on the transformative role of Artificial Intelligence and digital technologies in organizations and civil society, while other pieces draw on the lens of social studies, examining how individuals and communities adapt to, influence, and sometimes resist technological change.
My aim is to offer a space that is informative, engaging, and conducive to meaningful dialogue between disciplines. Technology does not exist in a vacuum: its impact unfolds in the workplace, in governance, in education, and in the very fabric of our daily lives. Understanding these dynamics requires a multidisciplinary perspective—one that I strive to bring forward through my teaching, writing, and applied projects.
To universities, research centers, and academic institutions: I welcome opportunities to collaborate. Whether through guest lectures, workshops, executive education sessions, or joint initiatives, I am committed to advancing critical reflection and practical knowledge at the crossroads of social research and digital transformation. Together, we can explore how emerging technologies are reshaping organizational structures, labor, leadership, and citizen engagement—and how societies can harness innovation responsibly to generate public value.
I invite you to explore this website at your own pace. Should you have questions, proposals, or feedback, please do not hesitate to get in touch. Your presence here is deeply valued, and I look forward to the possibility of exchanging ideas and co-creating knowledge with you.
Thank you for visiting, and for joining me in this journey that bridges social studies and technology for the benefit of organizations and civil society.
Warm regards
Thoughtful insights, not noise.
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