by iqentity | Feb 3, 2025 | AI Misuse
The liability exposure from AI misuse is poorly understood by most organizations. When an employee uses AI to fabricate a deliverable, misrepresent data, or create misleading communications, the organization may bear legal responsibility regardless of whether it...
by iqentity | Jan 31, 2025 | 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 | Jan 29, 2025 | AI Misuse
The liability exposure from AI misuse is poorly understood by most organizations. When an employee uses AI to fabricate a deliverable, misrepresent data, or create misleading communications, the organization may bear legal responsibility regardless of whether it...
by iqentity | Jan 27, 2025 | 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 | Jan 24, 2025 | 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...
