by iqentity | Aug 16, 2024 | 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 | Aug 14, 2024 | Development, Tessera
Theory is interesting. Validation is what matters. This month I ran Tessera through her first formal test: the holdout experiment. The Method I held out one full year of decisions from the training corpus. Tessera was given only what I had at the time each decision...
by iqentity | Aug 12, 2024 | AI Misuse
Most organizational controls were designed for a world where creating convincing fakes required skill and effort. AI has democratized fabrication. An employee with no special expertise can now produce convincing false documents, synthetic communications, or fabricated...
by iqentity | Aug 9, 2024 | Business Strategy
Vendor promises and operational reality diverge most sharply at the integration point. The AI model works. The integration with existing systems, workflows, and data pipelines does not. Integration is where 60 percent of the budget goes and 80 percent of the delays...
by iqentity | Aug 7, 2024 | 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. When we talk about AI ethics, we are really talking about power: who...
by iqentity | Aug 5, 2024 | Shadow AI
The scale is staggering. Research consistently shows that the majority of knowledge workers use AI tools that their organization has neither evaluated nor approved. The data flowing through these tools includes client information, financial projections, strategic...
by iqentity | Aug 2, 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 | Jul 31, 2024 | 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 | Jul 29, 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 | Jul 26, 2024 | 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...
