Fairsense-AI

"Responsible AI Adoption for a better sustainable world"

Fairsense-AI is an AI-driven tool designed to analyze bias in text and visual content. It also offers a platform for risk identification and risk mitigation. With a strong emphasis on Bias Identification, Risk Management, and Sustainability, Fairsense-AI helps build trustworthy AI systems.

πŸ›‘οΈ Bias Identification

Bias in AI systems can reinforce harmful stereotypes, impact decision-making, and reduce fairness in real-world applications. Fairsense-AI is designed to identify and mitigate bias in both text and visual content, fostering transparency and responsible AI development.

Key Features:

πŸ“ Text Analysis

Detects bias in text, highlights problematic terms, and provides feedback.

πŸ–ΌοΈ Image Analysis

Evaluates images for embedded text and captions to detect potential bias.

πŸ“Š Batch Text CSV Analysis

Analyzes large text datasets efficiently for bias patterns.

πŸ—ƒοΈ Batch Image Analysis

Processes large sets of images to identify and assess bias.

⚠️ AI Risk Management

Unidentified risks in AI systems can lead to security vulnerabilities, ethical concerns, and operational failures. Fairsense-AI is designed to identify and manage these risks using the MIT Risk Repository while providing actionable insights aligned with the NIST framework, fostering responsible AI development and informed decision-making.

Key Features:

πŸ” Risk Identification

Identifies potential AI risks based on the comprehensive MIT Risk Repository.

πŸ›‘οΈ Risk Management

Provides structured risk assessments and mitigation strategies aligned with the NIST framework.