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The Ethical AI Blog
The Corrupted Foundation: How Shadow Data Infects the Training Pipeline
By: Dale Rutherford October 15, 2025 Every LLM begins as a mirror of its corpus. The model doesn’t “know” anything beyond what it’s shown. When Shadow Data slips in, the mirror warps. 1. Structural chaos. Without proper metadata (no timestamps, source labels, or quality indicators), data preprocessing falters. Chunking, filtering, and semantic mapping become guesswork, producing incoherent training examples that weaken the model’s contextual grounding. 2. Redundancy and overf
Dale Rutherford
Oct 153 min read
The Dimensions of Ethical AI Integration: From Principles to Practice
By: Dale Rutherford Oct. 10, 2025 Artificial Intelligence isn't some miraculous solution, a threat, or a magical tool; it's more like a...
Dale Rutherford
Oct 106 min read
Drowning in Noise: Competing with Integrity in the Age of AI Marketing
By: Dale Rutherford Sep. 4, 2025 The digital landscape feels different now. Open LinkedIn or X, and you’ll see it — an endless stream of...
Dale Rutherford
Sep 43 min read
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