TRUSTWORTHY AI MATURITY ASSESSMENT
Assess your organization’s trustworthy AI maturity level, identify strengths, weaknesses, and develop remediation strategy to advance on the trustworthy AI journey.
Our Expertise
Governance & Strategy
Examine your organization's leadership commitment to trustworthy AI.
Does your leadership have a clear vision for trustworthy AI?
Do you have a documented AI ethics framework that guides development and deployment?
Is there a well-defined governance structure for overseeing AI initiatives?
Transparency & Explainability
Assess your organization's approach to developing AI models that are transparent and explainable.
Can you explain how your AI models arrive at their decisions?
Are there mechanisms in place to allow for human oversight of AI outputs?
Risk Management & Compliance
Evaluate your approach to identifying and mitigating potential risks associated with AI bias, data security breaches, and non-compliance with relevant regulations.
Have you established processes for identifying potential biases in your data and training sets?
How do you ensure the security of the data used for AI development
Are you aware of and compliant with evolving AI regulations?
Fairness & Accountability
Evaluate your strategies for ensuring fairness and non-discrimination in your AI systems.
Do you have mechanisms for detecting and mitigating potential biases in your AI models?
Who is accountable for the actions and decisions made by your AI systems?
Data Management & Privacy
Evaluate your data collection practices, data privacy controls, and how you ensure responsible use of data for AI development.
Do you have clear guidelines for data collection that adhere to privacy regulations?
Are there robust data security measures in place?
How do you ensure data is used responsibly and ethically for AI development?
Human-AI Interaction
Assess your organization's commitment to human-centered design principles and how you ensure responsible and ethical interaction between humans and your AI systems.
Do your AI systems consider the needs and well-being of users?
Are there clear guidelines for how humans interact with your AI systems?