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...
