Talks & Writings
Keynotes, essays, and publications exploring the intersections between AI, ethics, sustainability, and the future of industry.
Ideas in Motion: Talks, Essays, and Thought Leadership
Giulia Baccarin is a frequent speaker at international conferences, corporate events, and public forums on topics such as predictive intelligence, gender and technology, and decentralized innovation.
She also contributes essays and chapters that reflect her pluralistic, systems-driven approach to technological progress.
This section collects her most relevant contributions — both spoken and written — to build a future that is not only intelligent, but equitable and regenerative.
The Innovation Imperative
A detailed exploration of economic innovation, providing actionable insights for businesses and policymakers.
Sustainable Futures
A thought-provoking analysis of sustainability, offering solutions for a green economy.
Leading for Impact
An inspiring look at the role of leadership in driving social and economic change.
Featured Talks
Can diversity help AI help diversity? | TEDxRoma
What happens when algorithms learn bias? In her TEDx talk, Giulia explores how diverse, inclusive scientific communities are key to designing AI systems that don’t reinforce inequality — but help overcome it.
AI Challenge: Preventing Inequalities
In this talk for AGID, Giulia addresses data bias and the risks of exclusion in AI. She advocates for a digital public sector that is fair, inclusive, and truly accessible to all.
The Predictive Factory: Ethics and Work in the Future
A keynote for Generali Italia, where Giulia shares her journey from biomedical engineer to founder of MIPU — and explores how predictive maintenance can shape an ethical and human-centered future of work.
Unmasking the Hidden Influence of Consulting
The Big Con” exposes the unseen power of the consulting industry and its far-reaching consequences for businesses, governments, and economies. Giulia Baccarin and Rosie Collington dive deep into how reliance on consultants weakens internal capabilities, fosters inefficiency, and prioritizes short-term profits over long-term value creation
UK Edition
US Edition
Talks & Keynotes
Future of work or future without work?
In this keynote, Giulia Baccarin explores how predictive factories and collective intelligence are transforming industry and society. She highlights resilience, creativity, and empathy as the human skills that must guide the future of work, while stressing the urgency of inclusive AI design to avoid embedding systemic biases.
Giulia Baccarin reflects on how human and artificial intelligence can reshape society, urging for ethical design and transparency in digital systems. She highlights that the future cannot rely only on past data but must embrace creativity and diversity to build a fairer, more inclusive world.
Girls in the age of artificial intelligence
International Seminar THIS SCHOOL NO LONGER HAS WALLS.
An ecosystemic approach to learning
Essays & Editorials
Why Predictive Industry Is Worth More
In this article, Giulia Baccarin advocates for a new industrial paradigm — one where predictive intelligence enhances value creation, not just efficiency. She outlines how data, if used to anticipate instead of react, can drive sustainability, resilience, and smarter decision-making in manufacturing and beyond.
Publications
The Role of AI Platforms for the Servitization of Manufacturing Companies
The paper sheds light on the interplay between the adoption of digital platforms for Artificial Intelligence (AI) and the servitization of manufacturing companies. Through the analysis of three cases that have been deployed with a commercial AI platform to provide advanced services such as health monitoring and predictive maintenance to industrial equipment and infrastructures, researchers conjecture about how manufacturing companies could benefit from the adoption of this kind of platform in their servitization journey.
In the present study a data-driven approach is used to simulate the behavior of 3 alpine basins for hydroelectric energy production. A deep feedforward neural network is used to predict 3 different scenarios of flood wave, simulated starting from the weather forecast on a specific area.