The no. 1 question to ask when evaluating AI tools /

Saved in:

Bibliographic Details
Author / Creator:	Lebovitz, Sarah, author.
Edition:	[First edition].
Imprint:	[Place of publication not identified] : MIT Sloan Management Review, [2023]
Description:	1 online resource (6 pages)
Language:	English
Subject:	Artificial intelligence -- Industrial applications. Artificial intelligence -- Industrial applications
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13709899

Hidden Bibliographic Details
Varying Form of Title:	Number one question to ask when evaluating artificial intelligence tools
Other authors / contributors:	Lifshitz-Assaf, Hila, author. Levina, Natalia, author.
Notes:	"Reprint 64314." "Spring 2023 issue." Includes bibliographical references.
Summary:	Developers of many new AI solutions produce statistics showing that the tools make critical decisions with greater accuracy and efficiency than humans. But managers tasked with evaluating these applications need to peel back the layers of developers' performance claims and focus on the ground truth used to train and validate the AI tool. This article explains what ground truth is, how to identify it for a given tool, and how to understand the implications for tool quality.
Standard no.:	53863MIT64314

Similar Items