• AI Governance Overview
  • 358 pages and 90 vendors
  • 90 controls and 25 case studies
  • Mappings to EU AI Act and NIST AI RMF
Vertical Line
  • Agentic AI Governance
  • 19 case studies
  • 11 Agentic AI platforms
  • Companion to AI Governance Comprehensive

Mapping of YDC AI Governance Framework to Maryland AI Executive Order

Zhanara Amans, former Meta & Salesforce | Sunil Soares, Founder & CEO, YDC | November

Here is a guest blog with Zhanara Amans.


Maryland’s AI Executive Order 01.01.2024.02 on Catalyzing the Responsible and Productive Use of Artificial Intelligence in Maryland State Government is an AI oversight framework for state government operations. It provides a balanced approach to AI governance, combining innovation with responsible use.

An AI Subcabinet, led by the Secretary of the Department of Information Technology and a new Senior Advisor for Responsible AI, guides implementation across departments. The framework requires risk assessments, legal reviews, and adherence to core principles of fairness, privacy, and security. Key mandates include an AI action plan, playbooks, controlled testing, and human oversight of AI systems. While less comprehensive than the EU AI Act, the framework provides a solid starting point for government agencies with more limited resources.

The infographic maps the YDC AI Governance Framework to key provisions in the Maryland AI Executive Order.

Fairness & Accessibility

Component

Component ID: 5.0

Mitigate bias and manage AI accessibility.

List of Controls:

  • Bias
  • Accessibility
Mitigate Bias
Control
ID: 5.1

Ensure that AI systems are fair and manage harmful bias.
Component
Sub-Control
Regulation
 
Source
Address Fairness and Accessibility EU AI Act -Article 10(2)(f)(g) – Data and Data Governance (“Examination of Possible Biases”)

Vendors

Detect Data Poisoning Attacks
Control

ID: 10.4.1

Data poisoning involves the deliberate and malicious contamination of data to compromise the performance of AI and machine learning systems.

Component
Control
Regulation
Source
10. Improve Security10.4 Avoid Data and Model Poisoning AttacksEU AI Act: Article 15 – Accuracy, Robustness and Cybersecurity 

Vendors

Improve Security
Component

Component ID: 10

Address emerging attack vectors impacting availability, integrity, abuse, and privacy.  

List of Controls:

  • Prevent Direct Prompt Injection Including Jailbreak
  • Avoid Indirect Prompt Injection
  • Avoid Availability Poisoning
    • Manage Increased Computation Attack
    • Detect Denial of Service (DoS) Attacks
    • Prevent Energy-Latency Attacks
  • Avoid Data and Model Poisoning Attacks
    • Detect Data Poisoning Attacks
    • Avoid Targeted Poisoning Attacks
    • Avoid Backdoor Poisoning Attacks
    • Prevent Model Poisoning Attacks
  • Support Data and Model Privacy
    • Prevent Data Reconstruction Attacks
    • Prevent Membership Inference Attacks
    • Avoid Data Extraction Attacks
    • Avoid Model Extraction Attacks
    • Prevent Property Inference Attacks
    • Prevent Prompt Extraction Attacks
  • Manage Abuse Violations
    • Detect White-Box Evasion Attacks
    • Detect Black-Box Evasion Attacks
    • Mitigate Transferability of Attacks
  • Misuse of AI Agents
    • Prevent AI-Powered Spear-Phishing at Scale
    • Prevent AI-Assisted Software Vulnerability Discovery
    • Prevent Malicious Code Generation
    • Identify Harmful Content Generation at Scale
    • Detect Non-Consensual Content
    • Detect Fraudulent Services
    • Prevent Delegation of Decision-Making Authority to Malicious Actors

Identify Executive Sponsor

ID : 1.1 

Appoint an executive who will be accountable for the overall success of the program.

ComponentRegulationVendors
1. Establish Accountability for AIEU AI Act 
We use cookies to ensure we give you the best experience on our website. If you continue to use this site, we will assume you consent to our privacy policy.