Preparing the Workforce for Ethical, Responsible and Trustworthy AI

This article proposes a holistic multi-pronged strategy for establishing an ethical workforce ready for the rise of AI, beginning with examining the current AI landscape and projections of jobs impacted to understand organizational preparedness needs. Key elements include developing an ethical framework through stakeholder engagement outlining shared principles for responsibility; implementing comprehensive technical and soft-skills training programs; creating new dedicated ethics and data governance roles while expanding existing functions to oversee AI accountability; and integrating metrics and career pathways tied to system and process assessments through an ethical lens to drive cultural normalization. Continuous self-evaluation through qualitative and quantitative metrics aids transparency, justification of investment, and framework improvement. The goal of proactively cultivating stewardship abilities across all functions through values clarification, tailored learning, distributed responsibilities, and self-reflection is positioned as exemplary leadership guiding technology's societal impacts amid workplace transformations from emerging technologies.

Authors

Publication Details

Journal
Human capital leadership.
Published
2024-10-01
DOI
https://doi.org/10.70175/hclreview.2020.13.4.7
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

Preparing the Workforce for Ethical, Responsible and Trustworthy AI

Jonathan Westover
2 citations
Human capital leadership.
Ethics and Social Impacts of AI
1.05
article

Preparing the Workforce for Ethical, Responsible and Trustworthy AI

Jonathan Westover
article en
2 citations

Abstract

This article proposes a holistic multi-pronged strategy for establishing an ethical workforce ready for the rise of AI, beginning with examining the current AI landscape and projections of jobs impacted to understand organizational preparedness needs. Key elements include developing an ethical framework through stakeholder engagement outlining shared principles for responsibility; implementing comprehensive technical and soft-skills training programs; creating new dedicated ethics and data governance roles while expanding existing functions to oversee AI accountability; and integrating metrics and career pathways tied to system and process assessments through an ethical lens to drive cultural normalization. Continuous self-evaluation through qualitative and quantitative metrics aids transparency, justification of investment, and framework improvement. The goal of proactively cultivating stewardship abilities across all functions through values clarification, tailored learning, distributed responsibilities, and self-reflection is positioned as exemplary leadership guiding technology's societal impacts amid workplace transformations from emerging technologies.

Human capital leadership.Vol. 13(4)
Openalex Percentile: Top 18%
Ethics and Social Impacts of AI
1.05
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Preparing the Workforce for Ethical, Responsible and Trustworthy AI — Jonathan Westover · Human capital leadership. (2024) | TGRS Research Map | TGRS