Shadow Data: The Secret Bias Within Modern Healthcare AI

Описание: What happens when a machine learning algorithm decides who lives and who dies based on data you never even knew existed? This documentary follows Maya's journey from a high-stakes tech researcher to a whistleblower as she uncovers the "Shadow Data" lurking within complex black box algorithms. While these systems manage healthcare for millions, research reveals how zip codes are weaponized as proxies for exclusion, effectively automating systemic bias without ever mentioning race. We peel back the layers of corporate firewalls and legal threats to show why the future of AI is not an inevitable accident, but a deliberate institutional choice.

🕒 TIMESTAMPS
⚠️ 00:00:50 - The 48-Hour Ultimatum
🏗️ 00:03:18 - Architecture of the Black Box
🗺️ 00:05:47 - Geographic Proxies of Exclusion
💼 00:08:04 - The Path of Corporate Compliance
💻 00:10:26 - Limits of Internal Resistance
⚖️ 00:12:41 - The Whistleblower’s Dangerous Shadow
🗳️ 00:15:08 - AI Governance and Institutional Choice

CONTENT SUMMARY
Viewers will learn how "Shadow Data" enables algorithmic bias to persist in modern healthcare systems despite technical safeguards. Based on rigorous research into black box modeling and historical data structures, this documentary separates the myth of "neutral technology" from the reality of human-coded exclusion.

ENGAGEMENT SECTION
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💬 Comment: Do you think AI bias is a technical glitch or a deliberate institutional choice?

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