Workshop: Life Cycle Thinking in AI & AI Guidelines

As part of the Nemonoor project, NORA invites you to a workshop that highlights two key aspects of responsible and sustainable artificial intelligence, on 12 September in Domus Bibliotheca.

The two aspects are:

Life Cycle Thinking (LCT) in AI

Artificial intelligence requires large amounts of data, computing power, and infrastructure. But what does this mean for energy use, emissions, and sustainability? In this session, we will look at how LCT can be used to measure and understand the environmental footprint of AI solutions – from development and training to deployment and use.

AI Guidelines

AI is a powerful technology, but it must be developed and applied in a safe, ethical, and transparent way. We will introduce guidelines that support organizations in building trustworthy AI, covering aspects such as fairness, accountability, explainability, and compliance with regulations.

This workshop is relevant for companies, public organizations, and professionals who want to better understand how to combine innovation with responsibility. Participants will gain practical insights, hear about best practices, and have the chance to discuss challenges and opportunities in applying AI in a sustainable and ethical way.

The workshop will be held by Andrea Gasparini (NORA)

Agenda

12:30 – 12:45	Introduction to Life Cycle Thinking (LCT) in AI
12:45 – 13:05	Hands-on workshop – create a LCT for your SME/organization The workshop organizer will provide a template, allowing a first-hand experience in how to assess and discuss various parts of the life cycle of an AI-based product, covering, among others, sustainability and the end-of-life of the system (EOL).
13:05 – 13:15	Break
13:15 – 13:35	Introduction to AI-guidelines
13:35 – 13:55	Hands-on workshop – Approaching problematic aspects of using AI In this final section, the participants will work with possible dilemmas arising from the inaccurate or unethical use of AI in an SME/organization. The dilemmas will cover lawful aspects, addressing, for instance, how the EU AI Act will impact an SME/organization, or how to address sustainability issues when implementing AI-based services.
13:55 – 14:00	Concluding remarks