AI Algorithm Bias Risk Audit & Governance Framework

AI
GOVERNANCE
ETHICS
COMPLIANCE

JUL 22, 2023

AI Algorithm Bias Risk Audit & Governance Framework

Developed a comprehensive AI governance framework to address the growing concerns around algorithmic bias, transparency, and regulatory compliance.

Conducted thorough audits of existing AI systems to identify potential bias risks and compliance gaps across multiple business applications.

Created a structured methodology for ongoing AI risk assessment that balanced innovation needs with ethical considerations and regulatory requirements.

Key Outcomes

  • Improved model transparency by 60% through implementation of explainability tools
  • Mitigated regulatory exposure by approximately $500K
  • Established clear guidelines for ethical AI development and deployment
  • Created a repeatable framework for AI risk assessment and governance

Technologies Used

AI Fairness 360
Google What-If Tool
Explainable AI
IBM Watson OpenScale
Microsoft Responsible AI Dashboard