by iqentity | May 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 | May 29, 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 | May 27, 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. Vendor...
by iqentity | May 24, 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 | May 23, 2024 | Development, Tessera
Tessera will get things wrong. Not occasionally. Regularly. The local language model hallucinates. The graph traversal sometimes follows a misleading path. The enrichment pipeline misclassifies decisions. The salience model under-weights artifacts that turn out to be...
by iqentity | May 22, 2024 | AI Ethics
AI ethics is not a constraint on innovation. It is a quality standard for innovation. An AI system that produces biased outcomes, violates privacy, or makes unexplainable decisions is not a good system that happens to be unethical. It is a bad system. The fundamental...
by iqentity | May 20, 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 | May 19, 2024 | Development, Tessera
Most AI systems are trained on outputs. What was the answer? What was the decision? Tessera is also trained on corrections. Where did I change my mind, and why? Why Corrections Matter More Than Conclusions A system that only learns from final decisions becomes...
by iqentity | May 17, 2024 | Business Strategy
The enterprise AI adoption curve has followed a predictable pattern: enthusiastic pilots, difficult scaling, and eventual rationalization. The pilots work because they have executive attention, dedicated resources, and forgiveness for imperfection. The scaling fails...
by iqentity | May 16, 2024 | Development, Tessera
The remediation and professional support capabilities are what justify building Tessera. The life orchestration capabilities are what make it indispensable. There is a difference between a tool you use when something breaks and a system you rely on to keep things from...
