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AI Hope or Hype - A K-12 Reality Check | Ep. 12
In this first “Short Stack” episode of ChatEDU (AI Hope or Hype - A K-12 Reality Check) Liz and Matt unpack an important New York Times opinion piece titled "Press Pause on the Silicon Valley Hype Machine” by Julia Angwin. They explore key assertions in the article including:
Overstated Achievements: AI's claimed capabilities versus real performance.
Unreliable Performance: The effort required to correct AI output versus manual tasks.
Limited Improvement Potential: Constraints on AI improvements due to data and energy consumption.
Resource Allocation: The diversion of resources from practical innovations to AI developments.
In each area, Matt and Liz discuss how these points resonate in the K-12 context, emphasizing the need for balanced AI literacy and thoughtful resource allocation. They end with their own priority list of K-12 AI in education challenges.
First, in the News -
Holographics and Wearables: Matt shares his excitement about the new Meta Ray-Ban glasses as well as lightweight AR/AI glasses being developed by Stanford researchers
AI and Gender: Liz discusses the economic impacts of AI on women, highlighting bias in AI models and the underrepresentation of women in AI labs.
Short Stack Chat Back - The episode concludes with an AI supported take on the Beneath the Surface topic.
Have a question or comment? Please email Matt and Liz at [email protected]
View all episodes
By Matt Mervis and Dr. Elizabeth Radday
4.9
3434 ratings
In this first “Short Stack” episode of ChatEDU (AI Hope or Hype - A K-12 Reality Check) Liz and Matt unpack an important New York Times opinion piece titled "Press Pause on the Silicon Valley Hype Machine” by Julia Angwin. They explore key assertions in the article including:
Overstated Achievements: AI's claimed capabilities versus real performance.
Unreliable Performance: The effort required to correct AI output versus manual tasks.
Limited Improvement Potential: Constraints on AI improvements due to data and energy consumption.
Resource Allocation: The diversion of resources from practical innovations to AI developments.
In each area, Matt and Liz discuss how these points resonate in the K-12 context, emphasizing the need for balanced AI literacy and thoughtful resource allocation. They end with their own priority list of K-12 AI in education challenges.
First, in the News -
Holographics and Wearables: Matt shares his excitement about the new Meta Ray-Ban glasses as well as lightweight AR/AI glasses being developed by Stanford researchers
AI and Gender: Liz discusses the economic impacts of AI on women, highlighting bias in AI models and the underrepresentation of women in AI labs.
Short Stack Chat Back - The episode concludes with an AI supported take on the Beneath the Surface topic.
Have a question or comment? Please email Matt and Liz at [email protected]
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