One day workshop on Responsible Artificial Intelligence

The speakers brought up many interesting issues such as (a) LLMs and the prevalence of convincing (both intentionally and unintentionally) false information; (b) The lack of a common understanding of fairness across disciplines, the role of education and the need for awareness; (c) Ethical dilemmas such as whether we should value privacy and avoid disclosing sensitive information even in cases of lives being at risk; (d) Trust, openness about how data are collected, specification about the model (open source?); (e) Concerns that professionals will overly rely on AI which will affect their competence, e.g., pilots less comfortable in flying a plane manually or doctors that depend too much on automatic diagnostic systems.

One day workshop on Responsible Artificial Intelligence

Evangelia Pitoura, Panagiotis Tsaparas

Introduction to Algorithmic Fairness

Yuriy Brun

Preventing Undesirable Behavior of Intelligent Machines

Dimitris Sacharidis

Algorithmic Fairness in Recommender Systems

Alexandra Meliou

Diversity and Fairness in Data Selection

Lilian Mitrou

Fairness by design as the core principle of responsible AI


The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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