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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.18049773 |
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Table of Contents:
- <p><strong>Abstract:</strong> This framework provides a strategic governance model for the ethical deployment of Artificial Intelligence in the <strong>Retail and Consumer Goods</strong> industries. Driven by the <strong>Unified Latent Intelligence Philosophy (LIP)</strong>, this policy advocates for a <strong>Prevention-First</strong> approach to consumer data analytics, personalized marketing, and automated inventory management.</p> <p>Key focus areas include:</p> <ul> <li> <p><strong>Algorithmic Fairness in Pricing:</strong> Preventing discriminatory dynamic pricing models that exploit consumer behavior patterns.</p> </li> <li> <p><strong>Consumer Privacy Sovereignty:</strong> Ensuring that AI-driven "Consumer Intelligence" does not breach individual privacy rights through latent data harvesting.</p> </li> <li> <p><strong>Ethical Nudging vs. Manipulation:</strong> Establishing boundaries for AI-driven recommendation engines to prevent predatory psychological profiling and "dark patterns."</p> </li> <li> <p><strong>Autonomous Supply Chain Transparency:</strong> Harmonizing retail demand forecasting with ethical labor and sourcing standards.</p> </li> </ul> <p>This policy is a crucial tool for retail executives, data privacy officers, and consumer protection advocates aiming to build long-term brand trust in an AI-saturated market.</p>