FAIR-AI 20
A software tool for detecting power dynamics between agents in text to enable auto-assignment of rights and responsibilities by abstractly mapping harm and causal outcome components of social relations.
Product Information
- Description
- FAIR-AI 20 is a machine learning-powered software tool designed to analyze textual data and identify power dynamics between agents mentioned within the content. It operates by abstractly mapping the core components of social relations, specifically focusing on detecting instances of harm and causal outcomes described in the text. This analysis enables the system to automatically suggest appropriate assignments of rights and responsibilities to the involved agents based on the identified power structures. Key features include natural language processing for entity and relationship extraction, a framework for modeling social dynamics, and an automated recommendation engine for ethical governance. Primary use cases involve content moderation platforms seeking to identify abusive power imbalances, organizational tools for analyzing communication patterns, and research applications in computational social science where understanding agent relationships in textual corpora is essential.
- Categories
- Data & Machine Learning
Linked NGI Projects
This product was created or improved through NGI-funded projects
Often Used Together
Products commonly used alongside FAIR-AI 20
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