AI Governance & AI Audit
Here at Elevate, with our multi-disciplinary team of governance, cyber security, privacy, data science and machine learning professionals we believe we can tackle all the facets of AI governance and requirements for auditing and control points and provide assurance to board of directors, audit, risk management and software engineering professionals. We imagine a world where accountability for proper implementation of AI is at the forefront of board of directors, senior management, and investors.
Our holistic approach to AI Governance and AI Auditing encompasses the following key areas
Understanding of scope and objectives
Considerations for broader societal and ethical implications
Inventory of AI Capabilities (in-house or third party used)
Bias Considerations and adherence to laws (e.g. NY HR Law)
Transparent Documentation and Practices
Feedback loops through the lifecycle
Standardized Data Engineering Practices
Privacy by Design in AI Processes, Models and Practices (weather for the models themselves or use of Generative AI)
Standardized Data Science, MLOPS Tools and Practices
Third party risk management and related audit requirements
Continuous monitoring practices of Data Science, MLOPS, Product, Legal, Privacy and other stakeholders
Risk Mitigation Practices (e.g. pre/ post testing, periodic independent reviews)
Safety and explainablity considerations
Discover the Elevate difference.
Contact us today to learn how our unique methodologies, aligned with the EU AI Act, US 2023 Executive Order, and NIST AI Risk Management Framework, can safeguard your AI innovations.
Ask us for our mappings, controls and test procedures and processes to provide you a clear line of sight of your AI Governance and AI Risk Posture.
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