From the course: Secure Generative AI with Amazon Bedrock

Unlock the full course today

Join today to access over 24,900 courses taught by industry experts.

Addressing ethical challenges in generative AI development

Addressing ethical challenges in generative AI development

From the course: Secure Generative AI with Amazon Bedrock

Start my 1-month free trial Buy for my team

Addressing ethical challenges in generative AI development

“

- [Instructor] Until a few years ago, could you imagine a machine that could create art, craft stories, or even understand complex data such as medical and legal documents? Likely not. For most of us, it was limited to a science fiction that seemed like a farfetched reality. But the emergence of generative AI era has redefined our understanding of what machines can do. Let's understand some of the key ethical concerns of using generative AI. The first concern is the distribution of harmful content. While the ability of generative AI systems to generate human-like content can enhance business productivity, it can also lead to generating harmful or offensive content. The most concerning harm stems from the tools like deepfakes that can create false images, videos, text, or speech that can be agenda-driven or fueled to spread the negativity. Another concern is copyright and legal exposure. Like most AI models, generative AI models are trained on data, lots and lots of it. By nature, it…

Contents