Artificial Intelligence and Sustainability Summer Program – Program Content

Get prepared to have an impact for the better!

  • Format

    2 weeks

  • Languages

    English

  • Location

    Paris – FRANCE

  • Fees

    €2,550

  • Intake

    July

  • Credits

    6 ECTS

Accreditations

Program

This Summer Program offers introductory courses related to Artificial Intelligence and Sustainability. As of today, companies need to rethink their business models and work towards a better inclusion of CSR and the sustainability goals. The Artificial Intelligence and Sustainability Summer Program will emphasize how artificial intelligence can be used as a tool to create efficient sustainable strategies.

Each module contains a mix of lecture from both academics and professionals in the field.

Learning Objectives

Students will learn basic knowledge in all of the key areas associated with Artificial Intelligence and CSR.

COURSE CONTENT

  • 2 intensive courses taught in English, 40 contact hours
  • Input from companies
  • 6 ECTS

ECTS

Artificial Intelligence (16 contact hours)

3

Description

3

At the end of this module, students should be able to:

understand the historical, cultural and philosophical underpinnings of AI

describe the wide range of goals and approaches that define the field of AI, and their strengths and weaknesses

understand and describe in detail the sub-fields of AI, including planning, machine learning, robotics, natural language processing and autonomous agents

given a real-world problem, suggest AI approaches that might be appropriate for addressing that problem

read and think critically about current AI research and development

understand and analyze the role of AI in achieving the Sustainable Development Goals

be able to describe the impact of AI on economic, environmental and societal outcomes

understand the main ethical topics underpinning the development of AI systems

be familiar with the main global AI governance frameworks and current policy considerations

be able to critically think about the ethics and governance of AI systems given specific cases

> Download the “Introduction to Artificial Intelligence“ syllabus

> Download the “AI for Sustainable Development and responsible AI“ syllabus

Sustainability (16 contact hours)

3

Description:

3

At the end of this module, students should be able to:

understand the history of sustainable development and to be familiar with the main analytical tools and frameworks for examining and measuring this phenomenon

understand the nature and history of the causes and impacts of environmental change on people and the planet, and to be able to examine how these processes may interact with the field of Artificial Intelligence in the 21st century

be familiar with the main analytical frameworks for examining and measuring environmental change and developing ideas on how these tools could be adjusted to better interact with major developments in the field of Artificial Intelligence

understand the historical and causal patterns of economic development across various regions and how these processes have affected people and planet, and to be able to examine how these processes may interact with the field of Artificial Intelligence

be familiar with the main analytical frameworks for examining and measuring economic development and developing ideas on how these tools could be adjusted to better interact with major developments in the field of Artificial Intelligence

be familiar with the main analytical frameworks for examining and measuring wealth and social inequality and developing ideas on how these tools could be adjusted to better interact with major developments in the field of Artificial Intelligence

understand the historical causes and patterns of wealth and social inequality, and to be able to examine how these processes may interact with the field of Artificial Intelligence in the 21st century

to understand and analyze the role of AI in achieving the sustainable development in the 21st century

> Download the “Sustainability Development“ syllabus

Corporate Sessions (9 – 12 contacts hours)

Coming soon.

Grades and Credits

Students’ work is graded out of 20 points, the lowest passing grade is 10/20. Grades may be awarded for final examinations, individual and/or group papers and reports, and class participation. Most grades are a mix of several of these types of assessment.

Grades and Credits, Transcription and Credit Transfer

General contact