AI and Trust in Organizations

As the use of artificial intelligence (AI) expands in both society and organizations, building and maintaining trust in AI systems is becoming increasingly important. While AI promises benefits like improved efficiency and data-driven decision making, concerns are growing around a lack of transparency, accountability, fairness and control over how data is collected and used. This erosion of trust poses a threat to the widespread adoption of AI. However, the article argues that organizations have an opportunity to proactively build trust through transparent, accountable and fair development and application of AI. Drawing from research findings, it outlines strategies for providing transparency into AI systems and decision making, ensuring accountability in development and deployment, and engaging stakeholders. If implemented, these practices can help alleviate fears, demonstrate a commitment to responsible and ethical use of AI, and gain greater public acceptance and adoption of the technology's potential benefits.

Authors

Publication Details

Journal
Human capital leadership.
Published
2024-10-01
DOI
https://doi.org/10.70175/hclreview.2020.13.3.7
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
Controls
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article

AI and Trust in Organizations

Jonathan Westover
1 citations
Human capital leadership.
Big Data and Business Intelligence
0.53
article

AI and Trust in Organizations

Jonathan Westover
article en
1 citations

Abstract

As the use of artificial intelligence (AI) expands in both society and organizations, building and maintaining trust in AI systems is becoming increasingly important. While AI promises benefits like improved efficiency and data-driven decision making, concerns are growing around a lack of transparency, accountability, fairness and control over how data is collected and used. This erosion of trust poses a threat to the widespread adoption of AI. However, the article argues that organizations have an opportunity to proactively build trust through transparent, accountable and fair development and application of AI. Drawing from research findings, it outlines strategies for providing transparency into AI systems and decision making, ensuring accountability in development and deployment, and engaging stakeholders. If implemented, these practices can help alleviate fears, demonstrate a commitment to responsible and ethical use of AI, and gain greater public acceptance and adoption of the technology's potential benefits.

Human capital leadership.Vol. 13(3)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Big Data and Business Intelligence
0.53
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