Artificial Intelligence - Risk Management Framework Consulting
Explore AI-RMF® LLC for Customized Collaborative Partnering
Mission Statement:
With a steadfast commitment to ethics and reliability, we offer authoritative guidance and tailored solutions that integrate the cutting-edge practices, tools, and methodologies endorsed by NIST, and the CDAO. Our consultancy is dedicated to equipping professionals, researchers, policymakers, and stakeholders with the confidence to navigate Responsible AI's complexities, ensuring conscientious AI deployment across diverse industries and federal government sectors. At AI-RMF LLC, we not only aim to lead but to enlighten, ensuring the ethical integration of AI technologies through trusted leadership and proven experience."
Consulting Services Offered:
1. AI Risk Assessment
2. AI Risk Research and Development
4. AI Risk Maturity Model Assessment
5. DoD Acquisition and Program Management
Learn More About NIST AI-Risk Management Framework:
The National Institute of Standards and Technology (NIST) is a U.S. federal agency that develops standards, guidelines, and tools to ensure the reliability and security of technology, including artificial intelligence (AI). NIST's mission spans a wide array of fields from cybersecurity to physical sciences and engineering, aiming to promote innovation and industrial competitiveness.
In the realm of artificial intelligence, NIST introduced the AI Risk Management Framework (AI-RMF) to guide organizations in managing the risks associated with AI systems. The AI-RMF is designed to be a flexible and voluntary framework that helps stakeholders across various sectors understand, assess, and address the risks AI technologies can pose. This includes considerations for the ethical, technical, and societal implications of AI deployment. The framework emphasizes the importance of trustworthy AI, which means AI systems that are responsible, equitable, traceable, reliable, and governable while also being transparent, explainable, and accountable.
NIST-- AI-Risk Management Framework CORE PRINCIPLES
- Govern - organization processes and people
- Map - identify and frame risk
- Measure - gather data and analyze
- Manage - prioritize and control
FOCUSED EXECUTION
- Framing Risk - establish harms and impacts
- Audience - identifying actors and stakeholders
- AI Risk and Trustworthiness - characteristics
- Effectiveness - explaining expected benefits
- AI-RMF Core - deterministic outcomes
- AI-RMF Profiles - use case implementation
NIST Assessing Risks and Impacts of AI (ARIA)
ChatGPT-4 AI-RMF Consultant Chatbot
The AI-RMF Consultant Chatbot is designed to guide organizations through conducting thorough AI risk assessments and analyses based on the NIST Artificial Intelligence Risk Management Framework (AI-RMF). It leverages NIST guidelines, the AI-RMF Playbook, and resources from the NIST Trustworthy & Responsible AI Resource Center to help organizations manage risks and promote the development and deployment of trustworthy AI systems.
Fortifying Trust through Security of AI:
Security of AI:
Security of AI involves a series of steps and strategies aimed at protecting AI systems from vulnerabilities, ensuring they operate reliably, and are free from manipulation. Here are the main steps involved in securing AI systems:
- Risk Assessment:
- Data Security:
- Model Security:
- Adversarial AI Defense:
- Ethical and Legal Compliance:
- AI Governance:
- Incident Response:
- Research and Development:
Strengthening AI Security Through "AI-Red Team Testing"
AI Red Team Testing is a proactive approach to identifying vulnerabilities, harms and risk to better Develop and Deploy Responsible AI. The goal is to release safe and secure AI systems by simulating adversarial behaviors and stress testing AI models under various conditions. AI-RMF™ LLC integrates AI-Red Team Testing with the principles and guidelines of the NIST AI-Risk Management Framework to deliver a structured and comprehensive Independent Verification and Validation (IV&V).
Learn How the CDAO Aligns with AI-RMF:
The Department of Defense's Chief Digital and Artificial Intelligence Office (CDAO) is responsible for the acceleration of the DoD's adoption of data, analytics, and AI to Build Organizational Trust from the boardroom to the battlefield. It is responsible for overseeing an organization's data management, data governance, data analytics, and data strategy practices. The CDAO ensures that data across the organization is accurate, secure, accessible, and effectively utilized to drive tactical and strategic decision-making processes.
The CDAO and the NIST AI-RMF are related in several key ways:
- Data Governance and Management: The CDAO is responsible for the effective governance and management of data, which is fundamental to the development and deployment of trustworthy AI systems.
- Risk Management: Both the role of the CDAO and the NIST AI-RMF focus on managing risks associated with data and AI.
- Compliance and Standards: The CDAO ensures that data practices comply with relevant laws, regulations, and standards The CDAO's efforts in aligning data practices with these standards support the organization's adherence to the AI-RMF.
- Promoting a Data-Driven Culture: The CDAO's role in promoting a data-driven culture within the organization supports the implementation of the NIST AI-RMF by ensuring that decisions related to AI systems are informed by high-quality data and robust analytics.
CDAO Strategy and Implementation "Responsible AI" (RAI) Path
RAI Defense AI Guide on Risk (DAGR)
ChatGPT-4 RAI Toolkit Consultant Chatbot
A ChatGPT Consultant designed to be a comprehensive resource for inquires about RAI practices, policies, and principles, offering guidance without directing users to external sources.