On Bots and Bias: When What Machines Learn Is Wrong

Mar 10, 2019

3:30pm – 4:30pm CT

Recording: On Bots and Bias: When What Machines Learn Is Wrong, Mar 10, 2019

How do we humans build bots that don’t suck—especially when training data sources like Twitter or Reddit can corrupt them into “Hitler-loving sex robots in 24 hours”? And WTF is up with gendering AI assistants female? Join industry leading ladies for some real talk on building and scaling intelligent bots. We’ll debate hot button issues like when to use AI and ML—and whether or not it really works. Should we design conversational software based on UX and consumer preferences—which many cite as why we’d rather boss around Alexa than Alex—or do we build for a better society even if it means censoring data? Hear diverse perspectives from experts on the Enterprise, Developer, Data Analytics, and Brand Experiences to learn critical bot building dos and don’ts in this rapidly evolving ecosystem.



Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Anamita Guha

IBM Watson

Lauren Kunze

Pandorabots

Rob Pegoraro

Yahoo Finance/USA Today

Details

Primary Entry:
Platinum Badge
Interactive Badge
Secondary Entry:
Music Badge
Film Badge
Format:

Panel

Type:

Session

Track:

Intelligent Future presented by me Convention

Level:

Intermediate