Humane algorithms for the time of coronavirusRead More Rediet Abebe: towards an algorithmic justice
A data scientist reviews Shoshana Luboff’s book The Age of Surveillance CapitalismRead More Surveillance Capitalism and the working data scientist
Originally posted on Data for Breakfast:
On May 1 of 2019, Dr. Christo Wilson gave a talk on his investigation into online behavioral experiments. The talk was based on a piper entitled Who’s the Guinea Pig? Investigating Online A/B/n Tests in-the-Wild, which he and his students gave at the 2019 ACM Conference on Fairness, Accountability, and Transparency in Atlanta,…
Sometimes an unsolvable problem is a good thing.Read More Gödel, Incompleteness and Privacy
Gödel has something to say about A.I.Read More Gödel, Incompletness, and AI
Opt out of facial recognitionRead More The city of Atlanta doesn’t use facial recognition — so why does Delta Airlines?
San Francisco recently passed an ordinance controlling the use of facial recognition in the city. The ordinance was in large part thanks to the pioneering research of Joy Buolamwini. The argument against the technology is twofold: first, the technology is highly invasive in public spaces and may constitute a direct threat to basic (US) constitutional […]Read More San Francisco passes facial recognition ordinance
A few days ago I attended the talk “Sparsity, oracles and inference in high-dimensional statistics” by Sara van der Geer who is visiting Georgia Tech. The talk is described here. But I didn’t record the talk! I had a working iPhone! I only have an after thought photo of the white board that remained after […]Read More You should record technical talks!
The Foundations of Data Science Boot Camp given last week (August 27 – 31) at the Simons Institute in Berkeley explored how pure mathematics and theoretical computer science are providing actionable insights that the working data scientist can use — or at least ponder. I found the talk below by Ravi Kannan useful in pointing out how dimensionality reduction […]Read More The science of data science
A.I. and Big Data Could Power a New War on Poverty is the title of on op-ed in today’s New York Times by Elisabeth Mason. I fear that AI and Big Data is more likely to fuel a new War on the Poor unless a radical rethinking occurs. In fact this algorithmic War on the Poor […]Read More AI and the War on Poverty