Author · Researcher · PhD in Artificial Intelligence
Gabriel Pinto.
I research and write about what changes when artificial intelligence enters decisions about work, careers and business.
- 2026PhD in Artificial Intelligence from UNIRIO
- 120talks in Brazil and abroad
- 300+appearances in major media
The core idea
An AI that gets it right but can't explain why doesn't decide better. It just becomes unquestionable.
I opened a salary estimation model with one of the most widely used techniques for explaining AI. The result was technically perfect and useless to anyone who had to decide. Ask the question it left unanswered.
professional_experience
−0.230
With context from people who set salaries
This experience weighs −R$ 2,291 a month, and here is why.
- +R$ 7,411moving to another sector, but that depends on an opening
- +R$ 5,306building seniority, and that depends only on you
Illustrative case from the thesis, generated by EnriCX. Amounts are in Brazilian reais and are model references, not promises.
What I study
The questions that run through my research, my writing and my career.
- 01
Intelligent systems: the new interface between humans and decisions
What changes when AI stops suggesting and starts deciding: who is accountable, what can be challenged and how to design the decision.
- 02
The AI that gets it right and can't explain why
Why accuracy isn't enough, how explanations expose flaws the score hides and why expert knowledge is the scarce asset.
- 03
The future of work and skills
Labor market data for better decisions about careers, training and talent.
- 04
AI in education and professional development
How to design AI training around people's real needs, drawing on the experience at Senac RJ.
- 05
Innovation, the creative economy and cities
What Casa Firjan and the Mapping of the Creative Industry teach about building innovation with data and place.
Research
EnriCX: explanations you can decide with
In my doctoral thesis, I turned hours of conversation with compensation experts into a layer that translates statistical explanations into decision alternatives, with prices and context.
Book
Passaporte para o Futuro
Published in Portuguese in 2020 by Editora Cândido, the book discusses the future of work and sparked many of the conversations I had on TV, on the radio and on stage that year.
From the blog
The next competitive edge in AI isn't the model. It's the context.
Three takeaways from my doctoral thesis for business leaders.