FairSense-AI: Detecting Bias Across Content Types
A multimodal approach to ethical AI and security risk management
FairSense-AI combines Large Language Models and Vision-Language Models to detect and mitigate bias in both text and images, while incorporating comprehensive AI risk assessment.
- Provides users with bias scores and explanatory highlights
- Generates automated recommendations for content fairness
- Integrates with established security frameworks (MIT AI Risk Repository, NIST)
- Addresses both ethical AI concerns and security considerations
This research matters for security professionals by offering a practical framework that helps organizations identify potentially harmful bias while aligning with security best practices and risk management protocols.