Bridging the AI Trust Gap with Comprehensive Governance
Key Focus Areas:
AI Management Structure
Regulation & Compliance
Data Management
Continuous Monitoring
Why AI Governance is Crucial
AI governance is a comprehensive framework that oversees the responsible use of AI within an organization. It encompasses a wide array of processes, methodologies, and tools aimed at effective AI utilization, risk management, regulatory compliance, and ethical standards.
Without a robust AI governance framework, organizations risk social harm due to biased systems, regulatory non-compliance, financial penalties, irreversible system flaws, and potential public relations crises.
Effective AI governance requires a step-by-step approach, tailored to the unique complexities of each organization. By understanding your business, technology, and regulatory landscape, we help you align AI initiatives with your goals, ensuring they deliver the intended business value.
EthosAI AI Governance Framework
The EthosAI AI Governance Framework is a flexible, modular approach to responsible AI. Our step-by-step modules cover everything from impact assessments and policy training to data management, regulatory compliance, and continuous model monitoring. Each module can be customized and implemented based on your organization’s specific needs.
Our Governance Modules:
1. Planning & Design:
Module 1.1: AI Governance Status/GAP Analysis
Evaluate existing governance processes, identify gaps, and establish a roadmap for effective AI governance.
Module 1.2: Use Case & Design Analysis
Analyze business cases, data needs, and system fit to ensure AI solutions align with organizational goals.
Module 1.3: Management & Accountability
Define clear roles and responsibilities within AI processes to ensure accountability.
Module 1.4: AI Ethics & Policy Training
Train staff on ethical principles and legal policies related to AI deployment.
Module 1.5: Advanced Ethics Training for AI
Explore the history and principles of ethical thinking as applied to AI.
2. Regulatory & Compliance:
Module 2.1: EU AI Act Audit & Compliance
Navigate the EU AI Act with expert legal and technical advice for high-risk AI applications.
Module 2.2: MDR/AIA Compliance for Medical Devices
Ensure compliance with both MDR and AI regulations for healthcare and medtech industries.
Module 2.3: Global AI Regulation Research
Access comprehensive research on AI regulations across 30+ countries.
Module 2.4: Audit & Certification Services
Receive guidance on selecting the appropriate certification schemes for your AI applications.
3. Development, Evaluation, and Operations:
Module 3.1: Algorithmic Fairness Assessment
Identify and mitigate biases in your AI algorithms with expert consultation.
Module 3.2: Responsible Data Science
Implement FAIR and FACT principles to ensure responsible data management.
Module 3.3: MLTRL Ethics Compliance
Integrate ethical considerations into AI applications from R&D to productization.
4. Monitoring & Retirement:
Module 4.1: Model Risk Management (MRM)
Continuously monitor AI models and data to ensure compliance with regulations.
Module 4.2: Application Retirement
Plan and execute the decommissioning of AI applications with a structured roadmap.
Get in Touch
Whether you’re embarking on a new AI project, need employee training, or want to implement model risk management, we’re here to help. Contact us today.
We look forward to assisting you in your journey towards responsible and effective AI governance.
EthosAI is an educational platform dedicated to the practice and theory of AI ethics. We offer tailored courses for various stakeholders in Artificial Intelligence.
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