Algorithmic Fairness
Andres Algaba explains how algorithmic fairness can be achieved in AI models, considering "garbage in, garbage out", the definition of fairness and strategies to avoid unfairness or bias.
Practical information:
Teacher / speaker
Andres Algaba
Andres Algaba is professor of data and AI at the Data Analytics Lab (VUB). His research focuses on the impact of large language models (LLMs) on science and innovation, and on how to make the functioning of LLMs more transparent and keep them aligned with human values and norms. He is also a member of the Young Academy.
Skillstown AI & ChatGPT Academy
In the summer of 2023, online school Skillstown, organised a summer school on the use of ChatGPT and AI. VAIA contributed with two webinars, on AI in health and on responsible AI.
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