Title:
Opportunities and Perils of Data Science
Opportunities and Perils of Data Science
Author(s)
Spector, Alfred Z.
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Abstract
Data science has provided unprecedented opportunities to learn new insights and to predict, recommend, cluster, classify, transform, and optimize. Catalyzed by large-scale, networked computer systems, vast availability of data, and machine learning algorithms, data science has been extraordinarily impactful to-date, and it holds great promise in all disciplines. However, no new technology arrives without complications, and we have recently seen both the press and various political circles illustrating real, potential, and fictional implications of the field.
This presentation aims to balance the opportunities provided by data science against the many challenges that have ensued. At its core, the talk proposes a rubric that practitioners can apply to tease out data science’s complexities and also maps out seven categories of data sciences challenges, ranging from engineering to ethics. The talk is illustrated with examples from many applications, and it concludes with some suggested ways to address the downsides of the field.
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Date Issued
2021-10-15
Extent
64:39 minutes
Resource Type
Moving Image
Resource Subtype
Lecture