SXSW EDU 2021
Can We Design Bias out of EdTech?
Description:
Human biases can worm their way into tech with harmful consequences. One study identified up to a 16% difference in number of misidentified words from speech recognition systems when used by Black and white speakers. The application of AI-enabled technologies like speech recognition in school holds profound opportunity but also poses serious risk. But is eliminating bias in AI possible? How can research play a role? What should practitioners know about the power and peril of AI in the classroom?
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Takeaways
- Understand algorithmic bias and why it is a real, but solvable concern for AI in the classroom
- Learn how emerging research is working to mitigate the risks of algorithmic bias in voice technology
- Learn how practitioners can balance the risks to unlock benefits of AI in the classroom
Speakers
- Patricia Scanlon, Founder & CEO, SoapBox Labs
- Yaacov Petscher, Associate Director, Florida Center for Reading Research at Florida State University
- Nicole Patton Terry, Director, Florida Center for Reading Research at Florida State University
Organizer
Emily Kinard, Senior Associate, Whiteboard Advisors
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