Chapter 5

Warnings, Ethics, and Responsible AI

IN THIS CHAPTER

Bullet Learning about the Responsible AI movement

Bullet Paying attention to OpenAI warnings

Bullet Losing copyright and IP protections

Bullet Reaching for reliability and trust

Bullet Reducing your risks

Each model improvement aims to increase stability and overall performance in terms of reliability, accuracy, and ethics. In this chapter, you learn what that means and why the effort is critical.

Making Responsible AI

Almost everyone has an instinctive desire for caution or a sense of foreboding when it comes to AI. A broad industry effort called Responsible AI was formed to ensure that AI is responsibly developed by design. This movement is aimed at ensuring that AI models are built on specific principles from the ground up as opposed to having piecemeal measures tacked on after maturity or deployment or — yikes! — disregarded altogether.

Many AI providers and communities embrace the baseline principals promoted by the Responsible AI movement, which ...

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