What is AI TRISM?
AI TRiSM is a comprehensive solution for managing the lifecycle of AI models in various domains and applications. It helps AI developers and users to ensure that their models are aligned with the principles of governance, trustworthiness, fairness, reliability, robustness, efficacy and data protection. AI TRiSM provides tools and frameworks for assessing, monitoring and improving the quality and performance of AI models across different stages of development and deployment.
AI models are becoming more powerful and ubiquitous in various domains and applications, but they also pose significant challenges and risks for their developers and users. How can you ensure that your AI models are trustworthy, fair, reliable, robust, effective and compliant with data protection regulations? How can you monitor and control the performance and behavior of your AI models throughout their lifecycle? How can you communicate the value and limitations of your AI models to your stakeholders and customers?
These are some of the questions that AI TRiSM can help you answer. AI TRiSM is a comprehensive framework that supports AI model governance, trustworthiness, fairness, reliability, robustness, efficacy and data protection. It provides a set of principles, guidelines, tools and best practices for designing, developing, deploying and maintaining responsible AI systems.
AI TRiSM covers six key aspects of responsible AI:
Governance: how to define roles and responsibilities for managing AI models across different stages and functions
Trustworthiness: how to ensure that AI models are transparent, explainable, accountable and aligned with human values
Fairness: how to prevent or mitigate bias and discrimination in AI models
Reliability: how to ensure that AI models are consistent, accurate and reliable in different contexts and scenarios
Robustness: how to protect AI models from adversarial attacks or unintended consequences
Efficacy: how to measure and improve the quality and impact of AI models
Data protection: how to comply with data privacy laws and ethical standards for collecting, processing and storing data
By adopting AI TRiSM framework, you can benefit from:
A holistic approach to responsible AI that covers all aspects of the model lifecycle
A structured methodology that guides you through each step of developing and deploying responsible AI systems
A flexible toolkit that allows you to choose the most suitable methods and tools for your specific needs
A collaborative platform that enables you to share best practices and learn from other experts in the field