AI transparency issues: You never let me know what you're thinking.
Details
Agenda:
Please arrive on time. Doors close at 6:20pm.
- 6:00pm Networking
- 6:20pm Announcements
- 6:30pm Talk
- 7:45pm Networking
We will look at explainable AI and its rationale behind the decisions and outcomes it produces. The ultimate goal toward understanding explainable AI is to increase the transparency and understanding of its black box system behaviour.
This meetup session is possible thanks to Amir Feizpour and Ashwin Tumne.
Models:
https://arxiv.org/abs/1708.08296
Speakers:
Andrea Chan
Tech savvy, data driven, gritty business operations analyst and strategic marketer equipped with high growth startup experience, a Masters degree, and the attitude to get things done.
https://www.linkedin.com/in/andreahmchan
Mark Donaldson
A results driven, IT business professional, with a passion for Data Analytics and Statistical modeling, visualization and reporting on patterns of behaviour, across various areas and social media platforms.
https://www.linkedin.com/in/markdonaldson888
Announcements
We are partnering with Toronto Deep Learning Series. You can find the full list of the series here:
https://www.youtube.com/playlist?list=PLB1nTQo4_y6s-FV2xlvUomfOg-DjDeh7z
Hope to see you there!