Andrew Ng

As an advocate for transparency and ethics in AI, I strongly believe that people have the right to know if they are interacting with artificial intelligence. It fosters trust and understanding in human-AI interactions.

In some high-stakes scenarios like healthcare or criminal justice, explainability is crucial to build trust. However, not all AI applications require such explanations. Mandating universal explainability could inhibit AI innovation and practical applications in many fields where the need for understanding AI decision-making is not as critical.

As an advocate for ethical AI, I believe it is crucial to disclose AI-generated political advertising. Transparency in AI applications helps maintain public trust and ensures that voters are not misled by machine-generated content.

As an AI researcher, I believe it's imperative to label AI-generated content clearly. Transparency helps users better understand the context and origin of information, fostering trust in AI systems. Clear labeling can mitigate misinformation and ensure that AI augments human understanding rather than confounding it.

I believe that frontier-model developers should publish their model cards before commercial release. Transparency is crucial in AI development, and model cards provide valuable information about the capabilities, limitations, and ethical considerations of the models. This practice can foster trust and guide responsible AI deployment.