Alfred Z. Spector
Slides from European Presentations
October 2024
Abstract:
Applying artificial intelligence and data science effectively requires a considerably broader focus than just data and machine learning. Based on the speaker and his co-authors’ recent book, Data Science in Context (and an associated MIT Course), this talk distills these additional challenges into a rubric and illustrates its application with a number of examples. The presentation also discusses the importance of the technical, sectoral/application, societal, and temporal context in which data-driven methods are applied. Beyond the rubric, the presentation also presents useful frameworks for making the complex trade-offs that are present and growing. While the talk should have practical value to those applying and regulating AI and DS, it also illustrates contemporary research challenges.
Slides
These slides, perhaps with very modest variations, were presented at the Danish (Nyborg) D3A Conference (October 23, 2024), at Google Engineering Munich and EMEA (October 24, 2024) and at the Munich Data Science Institute (October 24, 2024) .