Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Aileen Nielsen

Aileen Nielsen
Software Engineer, Skillman Consulting

Aileen Nielsen works at an early-stage NYC startup that has something to do with time series data and neural networks, and she’s the author of a Practical Time Series Analysis (2019) and an upcoming book, Practical Fairness, (summer 2020). Previously, Aileen worked at corporate law firms, physics research labs, a variety of NYC tech startups, the mobile health platform One Drop, and on Hillary Clinton’s presidential campaign. Aileen is the chair of the NYC Bar’s Science and Law Committee and a fellow in law and tech at ETH Zurich. Aileen is a frequent speaker at machine learning conferences on both technical and legal subjects.

Sessions

1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1E 11 Level: Intermediate
Secondary topics:  Ethics and Privacy
Aileen Nielsen (Skillman Consulting)
Average rating: ****.
(4.00, 4 ratings)
There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government applications is reproducing or even amplifying existing prejudices and social inequalities. Aileen Nielsen demonstrates how to identify and avoid bias and other unfairness in your analyses. Read more.