Artificial Intelligence (AI) and Sustainable Development (SDGs) are taking an increasingly important place in companies.
Jorge Andrés Clarke De la Cerda, the course author at KEDGE brings a dynamic and participative pedagogical approach to the course taught as part of the MSc Data Analytics for Business.
Jorge Andrés Clarke De la Cerda, the course author at KEDGE brings a dynamic and participative pedagogical approach to the course taught as part of the MSc Data Analytics for Business.
The importance of an AI and SDGs course
At KEDGE Business School, we firmly believe that preparing the future leaders requires more than just imparting management expertise; it demands a profound understanding of global issues. This belief underpins our course "Artificial Intelligence and Sustainable Development Goals" within the Master in Data Analytics for Business programme, aimed at equipping students with the holistic perspective needed to tackle the challenges of tomorrow.
Introduction:
- Our focus lies in integrating AI with Sustainable Development Goals (SDGs), delving into their ethical, technical, and business dimensions, and their connection to climate change.
Pedagogical approach:
- Our methodology emphasises dynamic engagement through presentations, open class discussions, and practical case studies.
- The learning journey commences with an exploration of the ethical history of AI and its intersection with SDGs, establishing a strong foundation.
- Through group work and real case analysis, students delve into the challenges, opportunities, and ethical dilemmas posed by AI in achieving SDGs.
Key modules:
- We culminate the module with a deep dive into a controversial case study, fostering reflection on the ethical implications and behavioural challenges of AI for sustainable development.
- Current topics like the environmental impact of AI technologies, regulatory frameworks such as the AI Act, and advancements in AI models enrich our debate, offering a holistic perspective on environmental and societal implications.
Module structure:
- An intensive 15-hour module, spanning 5 sessions, immerses students in the complex interplay between technology and sustainability.
- Olivier Dupouët, the Msc "Data Analytics for Business" Director, underscores the course's significance in broadening students' perspectives beyond technical realms, encouraging reflection on the societal implications of AI deployment.
The course objectives:
- Awareness: Understanding the importance of AI as a tool for achieving the SDGs, highlighting its transformative potential for social and environmental good, and the risks associated with its development and use.
- Discernment: Developing a critical ability to assess whether an AI project genuinely contributes to the SDGs, moving beyond superficial claims to recognize true sustainable solutions.
- Ethics and Regulation: Familiarising with the ethical principles of AI, digital regulation, and their interrelation with sustainable development goals, thus preparing our students to navigate the complex landscape of responsible technology.
Conclusion
The course offers a comprehensive exploration of AI's role in advancing sustainability, fostering critical thinking, and preparing students to navigate the ethical and societal challenges of AI deployment in pursuit of sustainable development goals.
