Administrative information

Title	Environment Impact - carbon footprint
Duration	60 min
Module	C
Lesson Type	Interactive Session
Focus	Practical - Socially Responsible AI
Topic	AI for All

Keywords

Carbon footprint, sustainability, Environment,

Learning Goals

Assessing AI's role in reducing carbon emissions.
Analyzing the environmental benefits and drawbacks of AI implementation.
Identifying strategies for optimizing AI systems to minimize carbon footprint.

Expected Preparation

Learning Events to be Completed Before

Lecture: Overview of Ethical, Professional and legal Aspects of HCAI applications

Obligatory for Students

None.

Optional for Students

Investigate the impact of AI on the Environment.

References and background for students

Sustainability Goal 7 - Ensure access to affordable, reliable, sustainable and modern energy for all

Recommended for Teachers

How to measure the carbon footprint?
UN resolution on Environmental impact

Lesson materials

Discussion slides Environment Impact - AI footprint

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

The class can be divided into groups of 3-4 students. Groups will separately AI impact on Environment and carbon footprint.

Outline

Duration (min)	Description	Concepts	Activity
5	Disscussion Topic - Environment impact - carbon footprint
15	Discussion of challenges - AI processing power, Sustainability	Sustainability	Student driven Discussion
15	Action was taken, and possible Alternatives		Student driven Discussion
10	Discussion of results and some additional points of discussion		Result discussion
5	Conclusion and some open-ended questions		Food for thought

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities