by iqentity | Feb 14, 2025 | AI Ethics
Every AI deployment makes implicit ethical choices. The training data encodes values. The objective function prioritizes outcomes. The deployment context determines who is affected. Pretending these choices are purely technical is itself an ethical position, and not a...
by iqentity | Feb 12, 2025 | Shadow AI
Shadow AI represents the largest unmanaged risk surface in most organizations today. Unlike shadow IT, which involved unauthorized software installations that could be detected through endpoint management, shadow AI operates through web browsers and mobile apps that...
by iqentity | Feb 10, 2025 | AI Ethics
AI ethics is not a constraint on innovation. It is a quality standard for innovation. An AI system that produces biased outcomes, violates privacy, or makes unexplainable decisions is not a good system that happens to be unethical. It is a bad system. When we talk...
by iqentity | Feb 7, 2025 | AI Misuse
AI misuse creates cascading trust problems. When stakeholders discover that AI-generated content was presented as original work, the credibility damage extends beyond the specific incident to all previous work product. The question becomes: what else was fabricated?...
by iqentity | Feb 5, 2025 | Shadow AI
Shadow AI is a symptom, not a cause. It grows in the gap between what employees need and what the organization provides. Treating it as a compliance problem without addressing the underlying demand ensures it will persist regardless of the policies written against it....
