My Account Log in

1 option

OECD Framework for the Classification of AI systems / Organisation for Economic Co-operation and Development.

OECD iLibrary Available online

OECD iLibrary
Format:
Book
Government document
Contributor:
SourceOECD (Online service)
Series:
OECD Digital Economy Papers ; no.323.
OECD Digital Economy Papers; no.323
Language:
English
Subjects (All):
Science and Technology.
Local Subjects:
Science and Technology.
Physical Description:
1 online resource (80 pages)
Place of Publication:
Paris : OECD Publishing, 2022.
Summary:
As artificial intelligence (AI) integrates all sectors at a rapid pace, different AI systems bring different benefits and risks. In comparing virtual assistants, self-driving vehicles and video recommendations for children, it is easy to see that the benefits and risks of each are very different. Their specificities will require different approaches to policy making and governance. To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective. It can be applied to the widest range of AI systems across the following dimensions: People and Planet; Economic Context; Data and Input; AI model; and Task and Output. Each of the framework's dimensions has a subset of properties and attributes to define and assess policy implications and to guide an innovative and trustworthy approach to AI as outlined in the OECD AI Principles.
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

We want your feedback!

Thanks for using the Penn Libraries new search tool. We encourage you to submit feedback as we continue to improve the site.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account