5.2 Privacy and consent

Key points

1. NVIDIA says developers of models that rely on data such as a person's image, voice, artistic work or health records should evaluate whether individuals gave appropriate consent.

   What NVIDIA says (2)

   “should evaluate whether individuals have provided appropriate consent for their personal information to be used in this way.”

   — What Is Trustworthy AI?

   “Developers of AI models that rely on data such as a person’s image, voice, artistic work or health records”

   — What Is Trustworthy AI?

2. Federated learning builds models with a consortium of data providers. NVIDIA says it reduces risk to data security and privacy because the data never leaves the individual sites.

   What NVIDIA says (2)

   “Federated learning is a way to develop and validate AI models from diverse data sources while mitigating the risk of compromising data security or privacy, as the data never leaves individual sites.”

   — What Is Federated Learning?

   “It enables AI models to be built with a consortium of data providers”

   — What Is Federated Learning?

3. NVIDIA's privacy principle states AI should comply with privacy laws and regulations and meet societal norms for personal data and information privacy.

   What NVIDIA says (1)

   “AI should comply with privacy laws and regulations, and meet societal norms for personal data and information privacy.”

   — Trustworthy AI For A Better World

Key terms

• Personally identifiable information: Data that can identify a person, such as a name or social security number.
• Federated learning: Training across many sites while the data stays at each site.

Sample question

A model is trained on people's voices and health records. What must its developers evaluate, according to NVIDIA?