Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
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.


11:55–12:35 Thursday, 11 October 2018
Implementing AI
Location: Hilton Meeting Room 3-6
Secondary topics:  Temporal data and time-series
Aileen Nielsen (Skillman Consulting)
Average rating: *****
(5.00, 2 ratings)
Deep learning for time series prediction has made rapid progress in the past few years, but performance still greatly lags that of other intelligence tasks. Aileen Nielsen offers an overview of the state of the art in 2018, covering the hottest new architectures, emerging best practices for RNN training, and long overdue standard metrics to measure and compete on neural network prediction. Read more.
14:35–15:15 Thursday, 11 October 2018
Secondary topics:  Ethics, Privacy, and Security
Aileen Nielsen (Skillman Consulting)
We're in the year of the AI fake out. "Fake news" is the order of the day, as nebulous chatbots have become significant political actors. Startups peddle robotically handwritten notes and algorithmically personalized gifts for our loved ones. Soon we won't even be able to tell if a customer service agent is a real person. Aileen Nielsen asks, How should we redefine intelligence as fakes flourish? Read more.