Legal assessment requires delving into existing terms, privacy policies, and consent obtained from customers for AI training data. Data type considerations, like PII or synthetic content, impact consent and liability issues.
Data sourcing methods are critical; scraping personal data for AI training may lead to legal consequences like copyright infringement or terms of service violations. U.S. laws may even apply extraterritorially.
Intellectual property risks are significant; examples like a newspaper suing OpenAI for training AI with its content highlight the importance of respecting copyrights and trademarks in AI development.
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