by iqentity | Jun 23, 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 | Jun 20, 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 | Jun 18, 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 | Jun 16, 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 | Jun 13, 2025 | AI Ethics
When we talk about AI ethics, we are really talking about power: who has it, how it is exercised, and what accountability exists when it is exercised poorly. AI concentrates decision-making power in systems and the people who build them. Ethics is the discipline of...
