For 12 years, I have navigated the strictest regulatory environments in the United States. In federal disability adjudication, 'close enough' doesn't exist—98% accuracy is the floor, not the ceiling.
At Kinetic Ethics AI, we translate a decade of high-stakes federal compliance into the architecture of Artificial Intelligence. This Governance Benchmark is more than a list of rules; it is a proprietary framework built to ensure your AI systems remain compliant, ethical, and—most importantly—human-centric.
The Standard: Mapping the IAPP AIGP Body of Knowledge to the NIST AI Risk Management Framework (RMF) 1.0.
The Mission: Protecting individual privacy through advanced Data Sanitization and Differential Privacy protocols.
The Edge: Leveraging 12 years of Social Security Administration (DDS) regulatory logic to audit AI outputs.
Algorithmic Fairness: Mitigating unjustified differential treatment of protected groups.
Explainability (XAI): Providing human-understandable explanations for AI outputs.
Privacy-by-Design: Integrating data protection throughout the entire system lifecycle.
Differential Privacy: Balancing the trade-off between individual privacy and data utility.
EU AI Act (Medical): Clinical AI influencing health records is strictly categorized as High-Risk.
Extraterritoriality: Ensuring US-based entities comply with global mandates (GDPR/EU AI Act).
Right to Explanation: Ensuring individuals understand the logic behind an automated decision.
Govern: Establishing a foundational culture of AI risk management.
Map: Identifying context and root causes of risks (e.g., PII leaks) to prevent recurrence.
Measure: Quantifying the frequency and impact of identified AI risks.
Manage: Implementing day-to-day treatment and mitigation of risks.
Model Drift: Monitoring performance degradation caused by real-world data changes.
Human-in-the-loop (HITL): Requiring manual approval of every output (The "DDS Standard").
Human-on-the-loop (HOTL): Supervisory monitoring with the ability to intervene in real-time.
Adversarial Debiasing: Technical interventions to prevent the use of "proxies" for discrimination.