by iqentity | Mar 21, 2025 | AI Ethics
The gap between ethical intention and ethical outcome is bridged by process, not aspiration. Organizations that have ethical AI principles but no ethical AI processes have principles in name only. AI ethics is not a constraint on innovation. It is a quality standard...
by iqentity | Mar 19, 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 | Mar 17, 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 | Mar 14, 2025 | Business Strategy
The ROI conversation for AI is fundamentally different from traditional technology ROI because the value creation mechanism is different. Traditional software automates tasks. AI augments judgment. You can measure task automation in hours saved. Measuring judgment...
by iqentity | Mar 12, 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...
