The public guide to data science produced by Sense about Science will be launched at a seminar in Seattle on Friday 14th February, where industry experts will be discussing the question – How can we trust data science?
We’re in the middle of a ‘data revolution’: large, detailed datasets and complex algorithms are being deployed to make predictions from which investments lead to economic growth to who is likely to commit a further crime, and to automate processes from the detection of malignant moles to the elimination of bad software code.
Society – politicians, government, journalists, communities, businesses – needs to expand its ability to question the quality of evidence to meet this. How do we determine the reliability of data science or AI? What kind of testing should be expected, and what are our reliability thresholds?
Swamped by concerns about privacy and disruption, issues of quality and rigor in data science have largely been neglected. These are essential questions. The aim of the seminar is to secure global commitments and present proposals to address it.
To attend the seminar RSVP on eventbrite.
Published 6 February 2020.