From the course: Ethical Data Collection for AI Implementation
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Violating data privacy regulations
From the course: Ethical Data Collection for AI Implementation
Violating data privacy regulations
- When strategy meets implementation, friction and tension are inevitable. And that's what happens once ethical strategies are attempted. There can be compounding reasons for both internal and external pushback. The prevailing public narrative insists that integrating ethical principles in AI results in slowed innovation and wastes the company's money. What's not commonly shared is the cost of moving fast, breaking, and not correcting AI services. These monetary and non-monetary costs can have both short-term and long-term impacts. Companies are guided by a collection of regulations. It's a bit of alphabet soup across the globe. HIPAA, GDPR, CCPA, EU's AI Act, et cetera. The AI regulations proposed and enacted into law that we see now are built on data-focused regulations. For example, US data privacy regulations date back to 1974 as a mechanism to promote fairness within information systems. So violating them has…
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