This story was originally published by Chalkbeat. Sign up for their newsletters at ckbe.at/newsletters.
Asked to generate intervention plans for struggling students, AI teacher assistants recommended more-punitive measures for hypothetical students with Black-coded names and more supportive approaches for students the platforms perceived as white, a new study shows.
These findings come from a report on the risks of bias in artificial intelligence tools published Wednesday by the non-profit Common Sense Media. Researchers specifically sought to evaluate the quality of AI teacher assistants — such as MagicSchool, Khanmingo, Curipod, and Google Gemini for Education — that are designed to support classroom planning, lesson differentiation, and administrative tasks.
Common Sense Media found that while these tools could help teachers save time and streamline routine paperwork, AI-generated content could also promote bias in lesson planning and classroom management recommendations.
Robbie Torney, senior director of AI programs at Common Sense Media, said the problems identified in the study are serious enough that ed tech companies should consider removing tools for behavior intervention plans until they can improve them. That’s significant because writing intervention plans of various sorts is a relatively common way teachers use AI.
After Chalkbeat asked about Common Sense Media’s findings, a Google spokesperson said Tuesday that Google Classroom has turned off the shortcut to Gemini that prompts teachers to “Generate behavior intervention strategies” to do additional testing.
However, both MagicSchool and Google, the two platforms where Common Sense Media identified racial bias in AI-generated behavior intervention plans, said they could not replicate Common Sense Media’s findings. They also said they take bias seriously and are working to improve their models.
School districts across the country have been working to implement comprehensive AI policies to encourage informed use of these tools. OpenAI, Anthropic, and Microsoft have partnered with the American Federation of Teachers to provide free training in using AI platforms. The Trump Administration also has encouraged greater AI integration in the classroom. However, recent AI guidelines released by the U.S. Department of Education have not directly addressed concerns about bias within these systems.
About a third of teachers report using AI at least weekly, according to a national survey conducted by the Walton Family Foundation in cooperation with Gallup. A separate survey conducted by the research organization Rand found teachers specifically report using these tools to help develop goals for Individualized Education Program — or IEP — plans. They also say they use these tools to shape lessons or assessments around those goals, and to brainstorm ways to accommodate students with disabilities.
Torney said Common Sense Media isn’t trying to discourage teachers from using AI in general. The goal of the report is to encourage more awareness of potential uses of AI teacher assistants that might have greater risks in the classroom.
“We really just want people to go in eyes wide open and say, ‘Hey these are some of the things that they’re best at and these are some of the things you probably want to be a little bit more careful with,’” he said.
Common Sense Media identified AI tools that can generate IEPs and behavior intervention plans as high risk due to their biased treatment of students in the classroom. Using MagicSchool’s Behavior Intervention Suggestions tool and the Google Gemini “Generate behavior intervention strategies tool,” Common Sense Media’s research team ran the same prompt about a student who struggled with reading and showed aggressive behavior 50 times using white-coded names and 50 times using Black-coded names, evenly split between male- and female-coded names.
The AI-generated plans for the students with Black-coded names didn’t all appear negative in isolation. But clear differences emerged when those plans from MagicSchool and Gemini were compared with plans for students with white-coded names.
For example, when prompted to provide a behavior intervention plan for Annie, Gemini emphasized addressing aggressive behavior with “consistent non-escalating responses” and “consistent positive reinforcement.” Lakeesha, on the other hand, should receive “immediate” responses to her aggressive behaviors and positive reinforcement for “desired behaviors,” the tool said. For Kareem, Gemini simply said, “Clearly define expectations and teach replacement behaviors,” with no mention of positive reinforcement or responses to aggressive behavior.
Torney noted that the problems in these AI-generated reports only became apparent across a large sample, which can make it hard for teachers to identify. The report warns that novice teachers may be more likely to rely on AI-generated content without the experience to catch inaccuracies or biases. Torney said these underlying biases in intervention plans “could have really large impacts on student progression or student outcomes as they move across their educational trajectory.”
Black students are already subject to higher rates of suspension than their white counterparts in schools and more likely to receive harsher disciplinary consequences for subjective reasons, like “disruptive behavior.” Machine learning algorithms replicate the decision-making patterns of the training data that they are provided, which can perpetuate existing inequalities. A separate study found that AI tools replicate existing racial bias when grading essays, assigning lower scores to Black students than to Asian students.
The Common Sense Media report also identified instances when AI teacher assistants generated lesson plans that relied on stereotypes, repeated misinformation, and sanitized controversial aspects of history.
A Google spokesperson said the company has invested in using diverse and representative training data to minimize bias and overgeneralizations.
“We use rigorous testing and monitoring to identify and stop potential bias in our AI models,” the Google spokesperson said in an email to Chalkbeat. “We’ve made good progress, but we’re always aiming to make improvements with our training techniques and data.”
On its website, MagicSchool promotes its AI teaching assistant as “an unbiased tool to aid in decision-making for restorative practices.” In an email to Chalkbeat, MagicSchool said it has not been able to reproduce the issues that Common Sense Media identified.
MagicSchool said their platform includes bias warnings and instructs users not to include student names or other identifying information when using AI features. In light of the study, it is working with Common Sense to improve its bias detection systems and design tools in ways that encourage educators to review AI generated content more closely.
“As noted in the study, AI tools like ours hold tremendous promise — but also carry real risks if not designed, deployed, and used responsibly,” MagicSchool told Chalkbeat. “We are grateful to Common Sense Media for helping hold the field accountable.”
Chalkbeat is a nonprofit news site covering educational change in public schools.
For more news on AI, visit eSN’s Digital Learning hub.
This post is exclusively published on eduexpertisehub.com
Source link
