"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.
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.
Detects bias in text, highlights problematic terms, and provides feedback.
Evaluates images for embedded text and captions to detect potential bias.
Analyzes large text datasets efficiently for bias patterns.
Processes large sets of images to identify and assess bias.
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.
Identifies potential AI risks based on the comprehensive MIT Risk Repository.
Provides structured risk assessments and mitigation strategies aligned with the NIST framework.