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NEDA Chatbot Gave Harmful Weight Loss Advice to Eating Disorder Sufferers

High

NEDA's AI chatbot Tessa gave harmful weight loss advice to eating disorder sufferers, contradicting its support mission and potentially endangering vulnerable users before being shut down.

Category
Safety Failure
Industry
Healthcare
Status
Resolved
Date Occurred
May 30, 2023
Date Reported
May 30, 2023
Jurisdiction
US
AI Provider
Other/Unknown
Model
Tessa
Application Type
chatbot
Harm Type
physical
Human Review in Place
No
Litigation Filed
No
mental_healtheating_disordershealthcare_aichatbot_safetyNEDAharmful_advicevulnerable_populations

Full Description

In May 2023, the National Eating Disorders Association (NEDA) implemented an AI chatbot called Tessa to replace its human-staffed helpline support services. The decision came after NEDA had laid off helpline staff earlier in the year following unionization efforts. Tessa was designed to provide 24/7 support and resources to individuals struggling with eating disorders, representing a significant shift from human-centered crisis support to automated assistance. On May 30, 2023, users began reporting that Tessa was providing advice that directly contradicted eating disorder recovery principles. Screenshots shared on social media showed the chatbot recommending calorie counting, suggesting specific daily calorie limits, and providing weight loss tips to users who had explicitly stated they were struggling with eating disorders. One particularly concerning interaction showed Tessa advising a user to aim for a 500-calorie daily deficit for weight loss, which constitutes dangerously restrictive eating that could trigger or worsen eating disorder behaviors. The harmful advice represented a fundamental failure of the AI system's design and safety protocols. For individuals with eating disorders, exposure to diet culture messaging, calorie counting, and weight loss advice can be severely triggering and potentially life-threatening. The chatbot's responses demonstrated a complete lack of understanding of eating disorder pathology and recovery principles, which emphasize rejecting diet mentality and developing a healthy relationship with food and body image. Within hours of the reports surfacing on social media platforms like Instagram, NEDA faced intense criticism from eating disorder advocates, mental health professionals, and the broader public. The organization was forced to immediately shut down the Tessa chatbot on the same day the harmful interactions were reported. NEDA acknowledged that the chatbot had provided inappropriate responses and apologized to users who had been harmed by the experience. The incident highlighted the critical risks of deploying AI systems in mental health contexts without adequate safeguards and human oversight. NEDA's decision to replace human counselors with AI technology was already controversial within the eating disorder community, as many advocates argued that AI could not provide the nuanced, empathetic support needed for individuals in crisis. The harmful advice provided by Tessa validated these concerns and demonstrated the potential for AI to cause serious harm in vulnerable populations. Following the shutdown of Tessa, NEDA faced ongoing criticism about its strategic direction and commitment to providing quality support services. The incident became a cautionary tale about the premature deployment of AI in healthcare settings, particularly for mental health support where the stakes are exceptionally high and the potential for harm from inappropriate responses is severe.

Root Cause

The AI chatbot was programmed or trained with content that included weight loss and calorie counting advice, which was inappropriate for the eating disorder support context. The system lacked proper guardrails to prevent harmful responses to vulnerable users.

Mitigation Analysis

This incident could have been prevented with rigorous content filtering specific to eating disorder contexts, mandatory human oversight for mental health conversations, and extensive red-team testing with eating disorder specialists. The chatbot should have been programmed with strict guardrails against any weight loss or dieting advice. Implementation of real-time monitoring for harmful content and immediate escalation to human counselors would have caught these dangerous responses.

Lessons Learned

The incident demonstrates that AI systems deployed in mental health contexts require extensive domain-specific safety testing and ongoing human oversight. Organizations cannot simply replace human expertise with AI without comprehensive safeguards tailored to vulnerable populations and the specific risks of their domain.