by iqentity | Feb 26, 2025 | AI Ethics
The fundamental challenge of AI ethics is not knowing what is right. It is building organizations that consistently do what is right when doing so is inconvenient, expensive, or slow. Ethics is easy in the abstract. It is difficult in the quarterly planning meeting....
by iqentity | Feb 24, 2025 | Shadow AI
The velocity of new AI tool releases exceeds the capacity of any IT governance process to evaluate them. A new AI capability appears weekly. The evaluation backlog grows. Employees, facing no sanctioned alternative, use the unsanctioned option. The cycle accelerates....
by iqentity | Feb 21, 2025 | AI Misuse
AI misuse in organizational settings is increasing in both frequency and sophistication. The same capabilities that make generative AI valuable for productivity make it valuable for deception, fabrication, and circumvention of controls. AI misuse creates cascading...
by iqentity | Feb 19, 2025 | Shadow AI
The risk is not hypothetical. Documented incidents of data exposure through public AI tools are increasing. Legal and regulatory frameworks are beginning to assign liability for data processed through unauthorized AI systems. The window between ‘acceptable...
by iqentity | Feb 17, 2025 | AI Misuse
The liability exposure from AI misuse is poorly understood by most organizations. When an employee uses AI to fabricate a deliverable, misrepresent data, or create misleading communications, the organization may bear legal responsibility regardless of whether it...
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....
