Data-Centric AI

Data-Centric AI
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This is a past event

Key to AI that is (responsible, accountable, sustainable, explainable)... or just another buzzword?

The term “Data-Centric AI" (DCAI) suggests that the next generation of robust, fair, and responsible AI systems with sustainable performance requires an iterative, human-in-the-loop process involving complex patterns of data selection, engineering, and curation, model training, model testing, deployment and monitoring. This talk explores this perspective, and suggests that providing infrastructure to systematically record the end-to-end, data-to-AI patterns in detail is key to achieving all the -ilities we can dream of: explainability, reproducibility, accountability, sustainability...

This is an online event.

Find out more here.

External event: The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk)