Algorithmic Fairness in AI

With the growing adoption of artificial intelligence (AI) in various areas of our personal and social lives, it has become increasingly important to understand the implications of biases in algorithms, and how they can impact the fairness and accuracy of the decisions made by AI systems. This three-day training will provide the necessary knowledge and skills to understand the impacts of biases in algorithms and how to implement AI systems in a fair and inclusive manner. The training will focus on the potential amplification of biases and discrimination in contexts mediated by technology such as policymaking, decision-making, and the workplace.

The course is structured around three pillars: ethics, technology, and regulation. First, participants will be introduced to the various existing approaches to discrimination and fairness. Based on this ethical-legal framework, they will then understand the basics of AI, identify the many ways in which bias can affect algorithms, and explore the risks and opportunities of AI systems in relation to discrimination. Lastly, participants will learn about the European perspective on the impact of AI in social systems, and discuss the main challenges of the current and future regulatory mechanisms.