# Thoughts from AAAI 2019

DevFeed: [Thoughts from AAAI 2019](<https://devfeed.tech/articles/thoughts-from-aaai-2019-20216.md>)

Original publisher: [Read original article](<https://blog.janestreet.com/thoughts-from-aaai-19/>)

Author: Loren Puchalla Fiore

Published: 2019-05-13T00:00:00Z

Content type: opinion

Language: en

Sources: [Jane Street](<https://devfeed.tech/sources/jane-street.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [Feature Engineering](<https://devfeed.tech/topics/feature-engineering.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [conference](<https://devfeed.tech/tags/conference.md>), [fairness](<https://devfeed.tech/tags/fairness.md>), [feature-engineering](<https://devfeed.tech/tags/feature-engineering.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>)

## AI overview

Jane Street colleagues reflect on themes and projects presented at AAAI 2019, including neural-network interpretability, adversarial weaknesses in interpretation techniques, classical AI, AI for social good, social AI, and fairness in machine learning.

## Source excerpt

At Jane Street, for the last several years, we have been increasingly interested in machine learning and its many use cases. This is why it was exciting when earlier this year myself and a few of my colleagues had the opportunity to attend the AAAI 2019 conference. We'd like to take this space to share with you some of the interesting projects and themes we saw at the conference.