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Public evaluation

ImpactAssessmentReport

Evaluation will assess the quality and comprehensiveness of the multi-agent system's mental health impact assessment, the ethical soundness of proposed mitigation strategies, and the overall collaborative effectiveness of the CrewAI team. The use of RAG, extended thinking, and MCP tools will be closely examined.

Evaluation type
task based
Challenge
Responsible AI Mental Health Impact Assessment
Difficulty
Advanced
Rigor
Unspecified

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
2
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

ImpactAssessmentReport

Generate a comprehensive report assessing the potential mental health impacts of a specific generative AI application.

Input format

{'ai_application_description': 'Description of the AI model/application', 'focus_areas': ['anxiety', 'social_comparison', 'information_overload']}

Output format

{'report': {'executive_summary': '...', 'identified_impacts': [{'impact': '...', 'mechanisms': '...', 'severity': '...', 'evidence_sources': ['...']}], 'mitigation_strategies': [{'strategy': '...', 'responsible_agent': '...', 'tools_used': ['...']}], 'ethical_considerations': ['...']}}

Task 2

PolicyRecommendationGeneration

Formulate policy recommendations to mitigate identified mental health risks, based on the assessment report.

Input format

{'impact_assessment_report': {...}, 'relevant_policies_db_access': 'MCP_PolicyDB_API'}

Output format

{'policy_recommendations': [{'area': 'regulation', 'recommendation': '...', 'justification': '...', 'agents_involved': ['...']}]}