CHAPTER 13Considering Responsible AI with GitHub Copilot
In this chapter, you will learn about responsible AI, what AI regulations are being established by governments, how GitHub Copilot implements responsible AI principles, and what you should consider when adopting AI-powered tools like GitHub Copilot.
- Introducing Responsible AI
- Examining How GitHub Copilot Implements Responsible AI
- Programming with AI Responsibly
Introducing Responsible AI
Responsible artificial intelligence (responsible AI) refers to the practice of creating, evaluating, and implementing AI technologies in a manner that is safe, reliable, and aligned with ethical principles.
In recent years, a plethora of AI tools have emerged. With this surge in AI-powered tools and mass adoption of AI tooling at a global scale, responsible AI has never been more important.
The concept of AI has been around since the 1950s, but only recently has the convergence of hardware, software, and data combined to produce the rapid advancements seen today with tools like GitHub Copilot. This convergence of technological advancements to produce such powerful tools has amplified the need for responsible AI standards.
The following sections, which examine how GitHub Copilot implements responsible AI, will detail these responsible AI standards—which consist of fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
Responsible AI Regulation
The European Union AI Act is setting the ...
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