Artificial Intelligence and Sustainability Summer Program – Program Content
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.
Students will learn basic knowledge in all of the key areas associated with Artificial Intelligence and CSR.
- 2 intensive courses taught in English, 40 contact hours
- Input from companies
- 6 ECTS
Introduction to Artificial Intelligence, Kim BINSTED
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
AI & Sustainable Development, Amanda ABROM and Julia GUILLEMOT
AI for Sustainable Development and AI Governance:
> To understand and analyze the role of AI in achieving the Sustainable Development Goals;
> To be able to describe the impact of AI on economic, environmental, societal, and political outcomes;
> To understand the main ethical topics underpinning the development of AI systems;
> To be familiar with the main global AI governance frameworks and current policy considerations;
> To be able to critically think about the ethics and governance of AI systems given specific cases.
> To understand the historical and causal patterns of economic development across various regions and how these processes have affected people and planet;
> To understand the nature and history of the causes and impacts of environmental change on people and the planet;
> To understand the historical causes and patterns of wealth and social inequality;
> To understand the role of institutions, governance bodies, and multilateral agreements;
> To be familiar with current sustainable development careers and opportunities, as well as understand basic foundations of educating the next generation and creating social movements
Workshops : Sustainable Development Solutions Network, Artificial Intelligence in Business & Management
Corporate Talks: TBC
Potential cultural visits (e.g.): TBC
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.