On Bots and Bias: When What Machines Learn Is Wrong

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.

Primary Entry: Platinum Badge, Interactive Badge
Secondary Entry: Music Badge, Film Badge
Format: Panel
Event Type: Session
Level: Intermediate