SHOW: Students Preparing for a Shared Future With AI

·27 min·2 clips

Emilia used ChatGPT on an extra credit assignment after her teacher kept giving her failing grades despite her proven writing skills.

The episode begins by setting the context: three and a half years after ChatGPT's arrival, many schools lack clear guidelines on AI use, leading to confusion about cheating. Reporter Jesse Dukes, working with MIT researchers, investigates this issue by speaking to teachers and students across California and the country. He introduces Emilia, a senior in Northern California who noticed classmates using AI to avoid work but herself resorted to ChatGPT for an extra credit assignment after feeling unfairly graded by her English teacher. Her submission was quickly detected via version history, leaving her frustrated and worried about her reputation. The story then shifts to broader trends, with students like Samantha Baps noting that many peers use AI without getting caught, and teachers often being unaware. Caitlin Evangelista's experience highlights gray areas: her essay on Avatar movies was flagged as 99% AI by detection software because she used Grammarly for grammar help, which her teacher addressed through conversation rather than punishment. This leads into a discussion of the risks of false accusations, citing data that 20% of Black teens report being falsely flagged for AI use compared to 7% of white teens. Jessa Kirk from UC Santa Cruz's Academic Integrity Department argues that schools without clear policies leave students unprepared for higher education, as they may use AI unchecked and then face serious misconduct issues in college. The episode then focuses on Sarah Falls, an English teacher at Abraham Lincoln High School in San Francisco, who initially favored a zero-tolerance approach to AI but changed her mind after colleagues pointed out legitimate uses. She took the initiative to create a responsible AI policy for her school, emphasizing writing development over punitive measures, as the district lacked adequate guidance. Her policy lists concerns like AI inaccuracies and copyright issues but centers on values like practicing writing and seeking help from teachers. The episode notes that only a quarter of teachers in a 2024 RAND survey received any AI policy updates, with disparities based on socio-economic status: teachers in wealthier districts are more likely to get guidance, while those in lower-income urban areas are left to figure it out alone. A teacher in Los Angeles mentioned being 'voluntold' to rewrite academic integrity policies without support. The episode concludes by reiterating that many schools haven't caught up to AI, leading to confusion, cheating, and unfair accusations, with Jesse Dukes summarizing the ongoing challenges.

As heard by us

A grounded look at vague school AI rules and the learning those rules are meant to protect.

CrossCurrents looks at how schools are trying to prepare students for an AI-shaped future while the rules around using it still feel unsettled.

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Why you'd press play

You want to know what AI changes in class before vague rules follow a student into bigger consequences.

Read the full recommendation in PlayNext →

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