Titlebook: Business Data Ethics; Emerging Models for Dennis Hirsch,Timothy Bartley,Piers Norris Turner Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable

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书目名称Business Data Ethics影响因子(影响力)




书目名称Business Data Ethics影响因子(影响力)学科排名




书目名称Business Data Ethics网络公开度




书目名称Business Data Ethics网络公开度学科排名




书目名称Business Data Ethics被引频次




书目名称Business Data Ethics被引频次学科排名




书目名称Business Data Ethics年度引用




书目名称Business Data Ethics年度引用学科排名




书目名称Business Data Ethics读者反馈




书目名称Business Data Ethics读者反馈学科排名

野蛮

2192-855X a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical 978-3-031-21490-5978-3-031-21491-2Series ISSN 2192-855X Series E-ISSN 2192-8568

cocoon

无能力

The Empowerment of Women in Diplomacy, teach or apply consistently. Companies need substantive standards that are more actionable than high-level principles, and more standardized than intuitive judgment calls. They need generalizable . that draw the line between ethical and unethical applications of advanced analytics and AI. How best

陪审团每个人

Conceptualising Youth Quality of Life,e discuss the importance of role clarity (i.e., who is responsible for data ethics) within organizations and its relationship with developing organizational structure to support data ethics management.

groggy

https://doi.org/10.1007/978-3-319-75681-3nd compliance ethical thinking in recognition of the convergence of their own business interests with the demands of trustworthy and responsible decision-making. These efforts raise interesting questions about companies’ moral obligation to pursue the public good and how companies will behave when t

后退

Introduction, This third component consists of the managementstructures, processes, training and substantive benchmarks that companies use tooperationalize their high-level data and AI ethics principles and to guide and hold accountabletheir developers. AI ethics management is the connective tissue that makes AI

发展

Drawing Substantive Lines, teach or apply consistently. Companies need substantive standards that are more actionable than high-level principles, and more standardized than intuitive judgment calls. They need generalizable . that draw the line between ethical and unethical applications of advanced analytics and AI. How best

Jubilation

Management Structures and Functions,e discuss the importance of role clarity (i.e., who is responsible for data ethics) within organizations and its relationship with developing organizational structure to support data ethics management.

FRAX-tool

Data Analytics for the Social Good,nd compliance ethical thinking in recognition of the convergence of their own business interests with the demands of trustworthy and responsible decision-making. These efforts raise interesting questions about companies’ moral obligation to pursue the public good and how companies will behave when t