🎬🤖 Netflix and Generative AI: Rules That Set a Trend
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Netflix published new guidelines for the use of generative AI in audiovisual productions.
Beyond entertainment, these rules are setting a standard of transparency and responsibility that other industries —including the energy sector— cannot ignore.

🔐 Protection of rights and data
🎨 Responsible use of generative models
🧩 Traceability and transparency in every process
⚙️ Human oversight of critical decisions

⚡ Why this matters in the energy industry too
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In regulated sectors like the energy industry, GenAI is already used to:

📊 Optimize operations
🔍 Detect anomalies
🛢️ Model and forecast complex scenarios
🌱 Accelerate the energy transition

But for these applications to be trustworthy, it’s essential to follow principles similar to those Netflix proposes:

✔️ Full transparency about when and how AI is used
✔️ Real, auditable data as the basis for any optimization
✔️ Models aligned with regulations and regulatory standards
✔️ Avoid black boxes that make decisions without human oversight
✔️ Full traceability to demonstrate that results are reproducible and ethical

In critical industries, AI must not only be powerful: it must be responsible, verifiable and explainable.

🧠 Brief explanation
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Generative AI creates content (text, images, code, simulations) from learned patterns.
This is useful, but also risky if uncontrolled: it can fabricate data, produce unverifiable results, or make decisions without context.

That’s why rules like Netflix’s exist: to ensure AI is a trustworthy tool that respects rights, uses legitimate data, and is always supervised by people.