Introduction

On February 11, 2025, as
Scientific Director of the ICT Commission of the Order of Engineers of Monza and Brianza,
I organized a seminar dedicated to an increasingly central topic for companies and professionals:
the integration of the Generative AI (GenAI) in work processes.

The meeting had a specific objective: to show how tools like
ChatGPT, Gemini, Poe, Perplexity and similar platforms can be inserted in a structured way
within the business, keeping together three fundamental dimensions:
technology, regulation and intellectual property.

Why a seminar on GenAI

GenAI has quickly gone from a technological curiosity to an everyday operational tool.
Today it comes into play in activities such as:

• drafting and revising texts and documents,
• analysis and synthesis of complex information,
• support for software development and prototyping,
• customer and end-user support.

In parallel, new questions emerge: data management, regulatory compliance, legal risks,
ownership of the generated content. The seminar was designed to offer
a clear and concrete picture on these aspects.

Main contents of the seminar

1. Integrating GenAI into the company: opportunities, risks and technological solutions

In the first part, we analyzed what it means, in practice, to introduce GenAI into business processes.
The following were presented:

• use cases in business, professional and technical fields,
• differences between solutions public clouds and solutions private / on-premise,
• advantages (automation, speed, decision support) and critical issues (data exposure, vendor dependency).

We also talked about architectures and flows: how to connect GenAI to existing systems, how to control inputs and outputs,
How to maintain traceability and accountability for decisions made with the support of AI.

2. AI Act and GDPR: Artificial Intelligence in the European Regulatory Framework

The second part was dedicated to the regulatory context. In particular:

• principles and structure of the’AI Act, with a focus on the classification of AI systems by risk level;
• relationship between AI Act and GDPR, especially with regard to the processing of personal data;
• Best practices for internal policies, disclosures, consents, and data management in GenAI flows.

A key message emerged: innovation and compliance are not in conflict, as long as
AI system design should take rules into account from the very beginning.

3. GenAI-generated content: legal risks and protection of ideas

The final section addressed the often overlooked topic of AI-generated content:
texts, images, code, creative materials.

The following were analyzed:

• limits and critical issues of the protection of intellectual property when an AI model intervenes,
• risks of inadvertent use of copyrighted material,
• Strategies for documenting human contributions and structuring creative processes in which AI is a tool and not the sole author.

Who was the seminar aimed at?

The seminar is designed to be understandable even to those without a technical background.
No programming or machine learning skills were required.

The language used, the examples and the structure of the contents allowed the active participation of:

• entrepreneurs and managers,
• professionals and consultants,
• engineers and technicians interested in introducing GenAI into their daily work.

A look to the future

GenAI will continue to evolve and become increasingly embedded in business processes.
This is why I believe an approach that unites is fundamental
technological understanding, regulatory awareness and attention to intellectual property.

This seminar, organized by the Order of Engineers of Monza and Brianza, was created with this very purpose:
offer clear reading tools, avoid superficial approaches and help companies and professionals
to integrate GenAI in a responsible and sustainable way.