AI applications in Sustainable Energy Engineering
This lecture is about ethical aspects of using artificial intelligence, advantages, limitations, and risks connected to AI, dealing with current research topics and challenges, providing insights into ongoing debates and practical issues. It also explores the hype around AI, addressing both its potential and its pitfalls.
Speaker: Alva Markelius is a PhD candidate and Cambridge Trust Scholar at the Affective Intelligence and Robotics Laboratory (AFAR), Department of Computer Science, at the University of Cambridge and recipient of Top 100 Brilliant Women in AI Ethics™ award 2024. Furthermore, she is committee chair of the Centre for Human Inspired AI Early Career Community and student steward for Better Images of AI.
More info at https://alvamarkelius.github.io/
Course: The lecture is part of the course ”AI applications in Sustainable Energy Engineering” (MJ2507). The course aims to bring the students knowledge about key concepts that form artificial intelligence (AI), and their applications within the field of sustainable energy engineering. With focus on machine learning (ML), the students will be given insight in the fundamental theory and algorithms that shape ML models, as well as how to select method and data based on various applications. The course also introduces potential implications for energy businesses, as well as ethical aspects of using artificial intelligence.
Course responsible: Farzin Golzar