This startup develops a decision tracking application that uses machine learning to log, interpret, and analyze organizational decisions. The platform integrates securely to provide insights into past decisions, helping businesses understand outcomes and improve future strategic choices.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to understand and audit the decisions made by their machine learning models, leading to compliance issues, lack of transparency, and difficulty in identifying discriminatory trends. Explaining AI-driven decisions to customers and stakeholders is challenging, hindering trust and potentially violating "right to explanation" regulations like GDPR.
Solution
Fair AI provides a decision-tracking application that logs, interprets, and analyzes decisions made by machine learning pipelines. The platform offers insights into past decisions, helping businesses understand outcomes, improve future strategic choices, and maintain compliance. By logging decision data at the point of decision, Fair AI enables automated explanations for customers, facilitates auditing of automated decision-making systems, and supports higher-level analysis to surface potentially discriminatory trends. The system is designed for quick and simple integration, allowing users to track decisions and keep data in-house.
Target Audience
Fair AI targets organizations that utilize machine learning models for decision-making and need to comply with regulations like GDPR, explain decisions to customers, and ensure fairness and transparency in their AI systems.
Features
- Decision logging at the point of decision in machine learning pipelines
- Automated explanations of AI-driven decisions for customer service
- Auditing capabilities for GDPR compliance and internal governance
- Analytics dashboard for identifying discriminatory trends and biases
- Secure, on-premise installation to maintain data privacy
- Simple integration process for rapid deployment