by iqentity | Apr 26, 2024 | AI Misuse
AI misuse in organizational settings is increasing in both frequency and sophistication. The same capabilities that make generative AI valuable for productivity make it valuable for deception, fabrication, and circumvention of controls. The liability exposure from AI...
by iqentity | Apr 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 | Apr 23, 2024 | Development, Tessera
The single most valuable capability in technical remediation is precedent recall. Not “find me a document about Exchange failures” but “walk me through exactly what happened the last time we had a mail flow failure at a financial services client,...
by iqentity | Apr 22, 2024 | 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 | Apr 19, 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 | Apr 17, 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 | Apr 16, 2024 | Development, Tessera
Raw artifacts are useless to Tessera. An email is a sequence of characters. A PDF is a layout specification. A meeting note is unstructured text. The enrichment pipeline transforms these raw inputs into structured knowledge that the retrieval system can actually work...
by iqentity | Apr 15, 2024 | AI Misuse
AI misuse in organizational settings is increasing in both frequency and sophistication. The same capabilities that make generative AI valuable for productivity make it valuable for deception, fabrication, and circumvention of controls. The detection challenge is...
by iqentity | Apr 12, 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. The fundamental challenge of AI ethics is not knowing what is right. It...
by iqentity | Apr 10, 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...
