☰ Sidebar
Voting period for this idea type has passed

SXSW EDU 2021

Can We Design Bias out of EdTech?

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?

Share this idea

Related Media

Additional Supporting Materials

Takeaways

  1. Understand algorithmic bias and why it is a real, but solvable concern for AI in the classroom
  2. Learn how emerging research is working to mitigate the risks of algorithmic bias in voice technology
  3. Learn how practitioners can balance the risks to unlock benefits of AI in the classroom

Speakers

Organizer

Emily Kinard, Senior Associate, Whiteboard Advisors

Meta Information:

Show me another idea

Add Comments

comments powered by Disqus

SXSW reserves the right to restrict access to or availability of comments related to PanelPicker proposals that it considers objectionable.