by iqentity | Jun 19, 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 | Jun 17, 2024 | Development, Tessera
Semantic search is Tessera’s primary retrieval mechanism for conceptual matching, and the embedding strategy required careful thought. Off-the-shelf embeddings are trained on generic text. Tessera’s corpus is anything but generic. The Domain Collision...
by iqentity | Jun 14, 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 | Jun 13, 2024 | Development, Tessera
Theory is comfortable. Production is not. I have been running Tessera in parallel with my normal workflow for six weeks, using it during actual client situations and comparing its output to what I would have done without it. The results are encouraging, humbling, and...
by iqentity | Jun 12, 2024 | Shadow AI
The risk is not hypothetical. Documented incidents of data exposure through public AI tools are increasing. Legal and regulatory frameworks are beginning to assign liability for data processed through unauthorized AI systems. The window between ‘acceptable...
by iqentity | Jun 10, 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 | Jun 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. AI ethics is not a constraint on innovation. It is a quality standard...
by iqentity | Jun 5, 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 | Jun 4, 2024 | Development, Tessera
The prompt engineering for Tessera is unlike any other prompt work I have done. I am not designing prompts for a general-purpose assistant. I am designing prompts for a system that needs to think like me, respond in patterns I find useful, and maintain a level of...
by iqentity | Jun 3, 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?...
