Human-Centered AI: Knowledge and Language

Artificial Intelligence is used more and more in society, from healthcare to government decisions and recruitment. Along with the rapid increase of AI adoption comes increased concerns about the inherent shortcomings of such technologies (e.g., robustness) and the social, and ethical implications. To create AI systems that can properly serve humans, it is crucial to put humans at the center of the process such that the outcome system behaves in a way that fits the values and needs of people. This poses new challenges to technological development: how to build AI systems that can be understood by humans and that can align their behaviour with human values? Tackling these challenges requires new ways of looking at AI systems, e.g., machine learning models as knowledge bases and as autonomous agents that people can query, interact with, and influence.

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