Responsible AI in Organizational Decision-Making: A Conceptual Framework
Salamzadeh, Yashar (2025) Responsible AI in Organizational Decision-Making: A Conceptual Framework. In: Navigating AI in Business: Strategies and Insights Across Disciplines. Springer Nature. (In Press)
Item Type: | Book Section |
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Abstract
Considering the expansion of application of AI in different aspects of businesses, organizational decision-making comes among the first and main impactful aspects of AI usage in organizations. While AI has huge computational and scenario building capacities due to its natural language processing and computational capabilities, it is always a big question mark for decision makers, to know if the outputs of AI insights or proposed decisions are ethical or not. Of course, focusing on ethics seems not enough in evaluating organizational decisions made or proposed by AI as we need to consider legal and social consequences of our decisions as well. Here is where the “responsible AI” gets bolder and bolder.
As an emerging topic in academia, we still need many more frameworks on how responsible AI can be utilized in organizational decision making and the process of developing these frameworks seems slower than the change and advancement of AI.
This is why, the current chapter tries to develop and propose a framework for application of responsible AI in organizational decision making to help practitioners to have a clear and understandable framework and academics to develop better frameworks or design measurement systems based on this multi-dimensional framework.
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Depositing User: Yashar Salamzadeh |
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Item ID: 18934 |
URI: http://sure.sunderland.ac.uk/id/eprint/18934 |
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Date Deposited: 02 Apr 2025 09:58 |
Last Modified: 02 Apr 2025 10:00 |
Author: |
Yashar Salamzadeh
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University Divisions
Faculty of Business, Law and Tourism > Sunderland Business SchoolSubjects
Business and Management > Business and ManagementBusiness and Management > E-Commerce
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