- 4MMCII

Goal(s)

• Being aware of how AI (in particular gen AI) systems work
• Knowing how to do a quantitative analysis (typically: LCA) of environmental impacts of an AI system and evaluate the limits of such an analysis
• Understanding the dependencies of these systems to materials, water, energy, and labour
• Building an informed opinion on whether AI can exist in the doughnut Safe and Just Space for Humanity [Raworth, 2017]

Responsible(s)

Sylvain BOUVERET

Content(s)

The course comprises both a substantial technical component (necessary for understanding how systems work and applying this knowledge to a development project) and a component covering the humanities and social sciences.

• Artificial Intelligence 101: an introduction to neural network learning algorithms and their application to a development project
• The physical aspects of AI and associated impacts. Application of life cycle assessment and analysis to Artificial Intelligence
• Direct impacts and social consequences of the life cycle of AI systems
• Dependencies of AI to materials, resources, data and humans. Viewpoint of Science and Technological Studies on these dependencies.

• Introduction to algorithmics and programming (L3)
• Initiation to social sciences (typically ICT and society)
• Basic knowledge on environmental crises (climate / planetary boundaries)
• Basic understanding of social and environmental issues
• Without being a formal prerequisite, choosing the cours on Environmental Impacts of ICT (of the same speciality) can be a plus.

Test

Evaluation : 40% of TP notés and 60% of Examen écrit (2h)

Resit : Examen écrit (2h)

Intermediate assessment as a practical work, and final written exam on all the notions studied during the semester.

Calendar

The course exists in the following branches:

• Curriculum - Core curriculum - Semester 8

Additional Information

Course ID : 4MMCII
Course language(s):

You can find this course among all other courses.

Bibliography

• [Contre-Atlas de l'Intelligence Artificielle](https://www.zulma.fr/livre/contre-atlas-de-lintelligence-artificielle/), Kate Crawford (2022), édition Zulma Essais.

Cette bibliographie sera complétée ultérieurement.