Back to Search Start Over

Embracing Gen AI at Work.

Authors :
Wilson, H. James
Daugherty, Paul R.
Source :
Harvard Business Review; Sep/Oct2024, Vol. 102 Issue 5, p151-155, 5p, 2 Cartoon or Caricatures
Publication Year :
2024

Abstract

Today artificial intelligence can be harnessed by nearly anyone, using commands in everyday language instead of code. Soon it will transform more than 40% of all work activity, according to the authors' research. In this new era of collaboration between humans and machines, the ability to leverage AI effectively will be critical to your professional success. This article describes the three kinds of "fusion skills" you need to get the best results from gen AI. Intelligent interrogation involves instructing large language models to perform in ways that generate better outcomes—by, say, breaking processes down into steps or visualizing multiple potential paths to a solution. Judgment integration is about incorporating expert and ethical human discernment to make AI's output more trustworthy, reliable, and accurate. It entails augmenting a model's training sources with authoritative knowledge bases when necessary, keeping biases out of prompts, ensuring the privacy of any data used by the models, and scrutinizing suspect output. With reciprocal apprenticing, you tailor gen AI to your company's specific business context by including rich organizational data and know-how into the commands you give it. As you become better at doing that, you yourself learn how to train the AI to tackle more-sophisticated challenges. The AI revolution is already here. Learning these three skills will prepare you to thrive in it. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00178012
Volume :
102
Issue :
5
Database :
Complementary Index
Journal :
Harvard Business Review
Publication Type :
Periodical
Accession number :
178978217