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MoralAgent Trainer

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MoralAgent Trainer

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Saheedalin001 Oct. 24, 2025
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Challenge: Safety and ethics

Industries

Health and wellnessInclusionSocial welfare

Technologies

Data science & analyticsLLMs & NLPReinforcement learning

Tags

AIDF rulesGovernance & tooling

Description

MoralAgent Trainer embeds UNESCO AI ethics principles into mental health chatbots. It trains conversational agents to respond empathetically, avoid harmful advice, and promote positive self-image. Using supervised learning and moral reinforcement protocols, it ensures AI-powered therapy apps act responsibly and respectfully toward users.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

Many mental health chatbots lack ethical safeguards, leading to harmful or insensitive responses that can worsen users’ emotional distress and self-esteem issues. Without standardized moral frameworks, AI assistants risk reinforcing negative self-perceptions and misinformation.

Proposed Solutions

Develop and integrate the MoralAgent ethics module into mental health chatbots through open APIs. Partner with Canadian NGOs, therapists, and UNESCO to co-train models. Deploy across global wellness apps to ensure AI responses strengthen self-esteem, empathy, and ethical support for vulnerable users.

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