Yao Yang | AI Ethics Series Part 1

05/13/20 • 28 min

The Data Science Podcast | IBM Developer Podcasts

Yao Yang is a journalist turned machine learning researcher/ developer. She leads the R&D at Accenture Tech Labs to create a new platform that checks bias in data and mediate the biases in models to present a fair outcome for use, including processing and verifying data from various sources, recognizing opportunities and developing techniques for programmatically monitoring and enhancing trust through model development and execution.

Previous Episode

Karen Matthys & Trisha Mahoney | Women in Data Science

In this episode of the new Data Scientist Series, IBM AI Tech Evangelist Trisha Mahoney interviews Karen Matthys, Executive Director at External Partners at Stanford’s Institute for Computational and Mathematical Engineering (ICME) and co-Director of the Women in Data Science Conference (WiDS).

The global WiDS Conference is on March 2, 2020 at Stanford University and 150+ regional events worldwide. The WiDS initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. Prior to the conference, WiDS hosts a Datathon competition on Kaggle focused on a healthcare social impact challenge.

https://www.widsconference.org

Women in Data Science Datathon 2020
https://www.widsconference.org/datathon.html

Next Episode

Hector Dominguez | AI Ethics Series Part 2

Hector Dominguez PhD is the Open Data Coordinator for the city of Portland and part of the Smart City PDX team. Hector has led privacy and information initiatives for Portland focusing on use of ethical tools for technology solutions assessment, privacy and information protection principles. He has also worked on establishing Portland's citywide privacy and surveillance technology strategies/procedures as well as policy development for facial recognition and surveillance technologies.

Links Referenced