Try free for 30 days
-
Generative Artificial Intelligence and Data Privacy
- A Primer
- Narrated by: Tom Brooks
- Length: 1 hr and 18 mins
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
Generative Artificial Intelligence and Data Privacy
Buy Now for $9.99
No valid payment method on file.
We are sorry. We are not allowed to sell this product with the selected payment method
Publisher's Summary
Since the public release of Open AI’s ChatGPT, Google’s Bard, and other similar systems, some Members of Congress have expressed interest in the risks associated with “generative artificial intelligence (AI).” Although exact definitions vary, generative AI is a type of AI that can generate new content—such as text, images, and videos—through learning patterns from pre-existing data. It is a broad term that may include various technologies and techniques from AI and machine learning (ML).1
Generative AI models have received significant attention and scrutiny due to their potential harms, such as risks involving privacy, misinformation, copyright, and non-consensual sexual imagery. This report focuses on privacy issues and relevant policy considerations for Congress. Some policymakers and stakeholders have raised privacy concerns about how individual data may be used to develop and deploy generative models. These concerns are not new or unique to generative AI, but the scale, scope, and capacity of such technologies may present new privacy challenges for Congress.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
