Algorithmic Transparency

Past Presentations

Fairness, Transparency, and Privacy in AI @LinkedIn

How do we protect privacy of users in large-scale systems? How do we ensure fairness and transparency when developing machine learned models? With the ongoing explosive growth of AI/ML models and systems, these are some of the ethical and legal challenges encountered...

Krishnaram Kenthapadi Tech Lead Fairness, Transparency, Explainability & Privacy Efforts @LinkedIn
Create a Fair & transparent AI Pipeline with AI Fairness 360

One of the most critical and controversial topics around artificial intelligence centers around bias. As more apps come to market that rely on artificial intelligence, software developers and data scientists can unwittingly (or perhaps even knowingly) inject their personal biases into these...

Animesh Singh STSM, AI and Machine Learning @IBM
Christian Kadner Software developer @IBM, committer to Apache Bahir and contributor to Jupyter Enterprise Gateway

Less than

8

weeks until QCon San Francisco 2020

Registration is $2425.00 ($440 off) for the 3-day conference if you register before Oct 24th
SAVE YOUR SEAT