Back

CREATING A CULTURE OF AI CONFIDENCE: A BLUEPRINT FOR LEADERS.

  • Published In: Leader to Leader, 2024, v. 2024, n. 112. P. 47 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Patel, Amit 3 of 3

Abstract

The author, Founder and Managing Director of Mythos Group, discusses artificial intelligence (AI) in the context of how leaders must act regarding the expectations, fears, and anxieties expressed now and in the future by their employees. He claims that AI "is not a replacement for employees," but rather "a way of augmenting your existing workforce, improving their ability to leverage information and increasing their efficiency." He further describes AI and machine learning algorithms, and puts these concepts into context for the world of organizations. He discusses various challenges, under headings such as perception, confidence, and garbage in/garbage out. He follows with opportunities, grouped under decision-making and efficiency, along with tactics and a look into the future. These ideas are bolstered by four sidebars: Key Questions For Leaders To Answer In Addressing Employee Perceptions Of AI, Key Questions To Answer About Data Protection And Use, Practical Approaches To Building A Culture Of AI Understanding, and Pragmatic Approaches To AI Integration. His conclusion states that "organizations will need to draw on expert advice that simultaneously considers the strengths of their teams and finding opportunities for AI to make the best use of their expertise and institutional knowledge." [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Leader to Leader. 2024/04, Vol. 2024, Issue 112, p47
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:1087-8149
  • DOI:10.1002/ltl.20799
  • Accession Number:175973887
  • Copyright Statement:Copyright of Leader to Leader is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.