12:30 pm
Mon Mar 11

Bias in, Bias Out: Building Better AI (OFFICIAL)

Fairmont Austin
101 Red River Street, Austin, TX, 78701
0.50km S

This is an official event. More info on badges, wristbands & priority access.

Fairmont

Manchester AB

101 Red River.

Speakers

Ashley Casovan

Government of Canada

Kasia Chmielinski

The Data Nutrition Project

Vikash Mansinghka

MIT

M. Alejandra Parra-Orlandoni

Quantumblack

Artificial Intelligence is increasingly ubiquitous. Algorithms make important decisions that affect our lives, from how we are policed to what ads we see online, and yet the datasets on which they’re built are inconsistent, unrepresentative, and not always appropriately vetted or used. In other words, the problem with bad outcomes isn’t always the machine or the algorithm - it is often the health of the data itself. In an effort to address this problem, there are several initiatives and methods currently being tested to address dataset health. This panel will bring together experts across industry, academia, and government to discuss methods for identifying bad data, and ways to appropriately address problematic inputs.

Primary Entry: Platinum Badge, Interactive Badge

Secondary Entry: Music Badge, Film Badge

Format: Panel

Event Type: Session

Track: Intelligent Future presented by me Convention

Level: Beginner