Developing Sustainable and Trustworthy AI with Foundational Principles.
Introducing Our Author
Supra Appikonda, Co-Founder and COO at 4CRisk.ai, brings his decades of experience deploying regulatory, compliance and risk solutions for large companies. He draws on his extensive expertise to share how organizations can leverage Trustworthy AI processes with modern AI-powered products.
AI Principles are foundational to AI Governance
They are also foundational to Responsible and Trustworthy AI. They should guide decision-making at all levels of your organization in ways that ensure everyone is leveraging the innovative potential of AI while at the same time protecting shareholder value from risk and failures.
AI Principles can inform your policies, governance structures and processes. It’s critical to publish your AI Principles to employees, third parties and other stakeholders. Sharing and training on these principles will help your organization govern the use of AI internally. Use examples to drive the intent behind a principal home. Answer the questions, ‘what is this’, ‘why have this? and ‘how do we do this’?
How Does Responsible AI Relate to Trustworthy AI?
The terms "Responsible AI" and "Trustworthy AI" are two sides of the same coin, working together to ensure AI is beneficial and reliable. Both rely on existing regulations, rules and laws and standards that require privacy and resilience, but raise the bar, due to the astounding nature of the technology itself, and its’ ability to perform functions and provide insights at machine-speed, rather than human-speed.
When we talk about Responsible AI (RAI) and Trustworthy AI (TAI) we are referring to all aspects of creating, complexity, transparency, fairness, training and security of AI models and algorithms. We need these hyper-powered principles because AI is a new technology that beings into question the process of decision-making with lightning-speed tech. As a result, new concepts arise in both Responsible AI and Trustworthy AI that reflect the innovation and rapid evolution of the technology itself.
AI Principles – Examples You Can Use
Here are examples of AI Principles that you can consider revising and adopting for your organization. Use a range of inputs when formulating your AI principles, including your organization’s goals, corporate values, culture, and governance, your AI goals, known AI risks of the technologies in scope for your organization, expectations of key stakeholders and AI regulations, rules, laws and standards.
By defining AI principles, your AI strategy will be understood, technologically sound, ethical, responsible, defensible and beneficial to both your organization and society. By incorporating these principles, you can create an AI governance framework that adapts to change, promotes responsible development, fosters trust, and ensures AI is used appropriately
Check out these related blogs and resources
- https://www.4crisk.ai/post/ai-game-changer-specialized-language-models-the-safest-alternative-to-llms-for-regulatory-risk-and-compliance-programs
- https://www.4crisk.ai/post/a-framework-for-ai-strategy-and-governance
- https://www.4crisk.ai/whitepapers/adopting-ai-strategy-governance-and-evaluation-best-practices
How Can 4CRisk’s award-winning AI products help your organization?
Would you like a walkthrough to see what Award-winning 4CRisk products can do for your organization? Contactus@4crisk.ai or click here to register for a demo.
About 4CRisk.ai Products: Learn More: 4CRisk products Regulatory Research, Compliance Maps, Regulatory Change Management , and Ask ARIA Co-Pilot. By offering secure, private, and domain-specific AI Agents, 4CRisk can significantly enhance Regulatory, Risk and Compliance programs, providing results in minutes rather than days; up to 50 times faster than manual methods.
- What is AI-powered Regulatory Research? This product allows professionals to seamlessly search regulatory content from global authoritative sources to identify regulations, rules, laws, standards, guidance and news that can impact your organization; builds curated rule books; generates business obligations by merging similar or related requirements from different sources.
- What is AI-powered Regulatory Change Management? This product allows organizations to proactively keep pace with upcoming changes across all applicable rules, regulations, and laws while mitigating risks by aligning policies, procedures, and controls with required changes; conducts applicability and impact assessments, prioritizes mitigation efforts with comprehensive reports for regulatory reporting, internal audits, and oversight.
- What is AI-powered Compliance Map? This product allows professionals to assess the design efficacy of their compliance program by comparing their external obligations to their internal policy, procedure and control environment; identifies gaps and potential risks and gaps, generates alerts, and recommendations to close gaps, remove duplicate or overlapping controls, and rationalize the control framework.
- What is Ask ARIA Copilot? This is your Always-On Advisor – Ask ARIA Co-Pilot provides immediate, relevant answers to first- and second-line complex queries. ARIA analyzes an organization’s documents to answer day-to-day business questions – saving up to 90% of time and effort.
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Authors
Author
Supra Appikonda
4CRisk.ai
Co-Founder and COO
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