AI & Ethics Masterclass by Kristen Scott ■ S+T+ARTS Hungry Ecocities
The following topics were discussed:
■ Brief introduction to algorithmic harms and controversy around AI
■ Major concepts from Critical AI
■ Specific ethical considerations
■ Difference between Generative and Discriminative AI and generative-specific ethical concerns
■ Technical approaches to AI harms (ML Fairness)
■ Non-technical approaches
About the lecturer:
Kristen Scot is a PhD candidate in the department of Computer Science at KU Leuven University in Leuven, Belgium, working under the supervision of Prof. Bettina Berendt. She is an Early Stage Researcher in the NoBias project, a Marie Curie ITN.
Her work focuses on the topic of bias and fairness in algorithmic decision-making, particularly on biased representations of people in data. Kristen’s specific interest is in the question of how to effectively involve all stakeholders and impacted persons in the design of algorithmic systems in the interest of addressing algorithmic harms.
The Hungry EcoCities project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101069990.