by iqentity | Nov 27, 2024 | 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....
by iqentity | Nov 25, 2024 | 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...
by iqentity | Nov 23, 2024 | Development, Tessera
Most systems that attempt to scale expertise end up averaging it. The edges get smoothed. The distinctive judgment becomes generic best practice. The sharp positions that made the expertise valuable get diluted into safe, uncontroversial recommendations. Tessera...
by iqentity | Nov 22, 2024 | Business Strategy
Most organizations overestimate their AI readiness. They have data, but not the right data. They have technical talent, but not enough of it. They have executive sponsorship, but not sustained executive attention. The gap between readiness assessment and readiness...
by iqentity | Nov 20, 2024 | 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....
by iqentity | Nov 18, 2024 | 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...
by iqentity | Nov 15, 2024 | 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 | Nov 13, 2024 | Business Strategy
The data quality problem is perennial and under-addressed. Organizations that would never make a strategic decision based on a bad spreadsheet routinely feed bad data into AI systems and expect good outputs. The principle is the same. The scale is different. The...
by iqentity | Nov 11, 2024 | 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 | Nov 8, 2024 | 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....
