The next challenge

The advent of large, generative models introduces new challenges to implementing Responsible AI practices due to their potentially open-ended output capabilities and many potential downstream uses. In addition to the AI Principles, Google has a Generative AI Prohibited Use Policy and Generative AI Toolkit for Developers.

Google also offers guidance about generative AI models on:

• Safety and Fairness
• Prompt Engineering
• Adversarial Testing

Summary

Assessing AI technologies for fairness, accountability, safety, and privacy is key to building AI responsibly. These checks should be incorporated into every stage of the product lifecycle to ensure the development of safe, equitable, and reliable products for all.

Further learning

Why we focus on AI – Google AI

Google Generative AI

PAIR Explorable: What Have Language Models Learned?

Google AI Review Process

Responsible AI Toolkit | TensorFlow

AI Principles Review Process | Google AI: