標題: Titlebook: Business Data Ethics; Emerging Models for Dennis Hirsch,Timothy Bartley,Piers Norris Turner Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable [打印本頁] 作者: 無限 時間: 2025-3-21 17:23
書目名稱Business Data Ethics影響因子(影響力)
書目名稱Business Data Ethics影響因子(影響力)學科排名
書目名稱Business Data Ethics網(wǎng)絡(luò)公開度
書目名稱Business Data Ethics網(wǎng)絡(luò)公開度學科排名
書目名稱Business Data Ethics被引頻次
書目名稱Business Data Ethics被引頻次學科排名
書目名稱Business Data Ethics年度引用
書目名稱Business Data Ethics年度引用學科排名
書目名稱Business Data Ethics讀者反饋
書目名稱Business Data Ethics讀者反饋學科排名
作者: 野蠻 時間: 2025-3-21 23:06
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 作者: cocoon 時間: 2025-3-22 01:09 作者: 無能力 時間: 2025-3-22 05:33
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 作者: 陪審團每個人 時間: 2025-3-22 09:11
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.作者: groggy 時間: 2025-3-22 15:57
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作者: 后退 時間: 2025-3-22 17:58
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作者: 發(fā)展 時間: 2025-3-23 00:48
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 作者: Jubilation 時間: 2025-3-23 04:10
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.作者: FRAX-tool 時間: 2025-3-23 06:24
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作者: 薄荷醇 時間: 2025-3-23 10:15 作者: maculated 時間: 2025-3-23 14:46
Mounia Lalmas,Heather O’Brien,Elad Yom-Tovcifically, we deploy a mixed method research design combining insights from semi-structured interviews and an original survey of business data ethics managers as well as the attorneys, consultants, and think tanks who advise them. The interviews and survey hone in on five key areas of inquiry: (1) t作者: 小爭吵 時間: 2025-3-23 19:54
The Conceptual Basis of Benefits Estimation,managers and their advisors think about advanced analytics and AI. Both survey respondents and interview participants highlighted a broad range of concerns raised by their use of advanced analytics ranging from invasion of privacy and manipulation to bias against protected classes and concerns about作者: 才能 時間: 2025-3-23 23:01
The Conceptual Basis of Benefits Estimation,tect individuals or society from the threats that corporate use of these technologies can create. To protect people against these risks, and so to safeguard their own reputations and live by their values, companies need to do more than the law requires. As the interviewees described it, business “da作者: sleep-spindles 時間: 2025-3-24 05:06 作者: syring 時間: 2025-3-24 08:49
The Empowerment of Women in Diplomacy,ecent years scholars, governmental bodies, multi-stakeholder groups, industry think tanks, and even individual companies have issued model sets of data ethics and AI ethics principles. These model principles provide an initial reference point for setting substantive standards. However, the breath an作者: 俗艷 時間: 2025-3-24 12:31 作者: semble 時間: 2025-3-24 17:00 作者: FLIRT 時間: 2025-3-24 22:58
https://doi.org/10.1007/978-3-319-75681-3 their own bottom lines. Broadly speaking, we found two types of “social good” projects. Some employed approaches to learn about, and inform individuals of, risks or opportunities to improve their lives. Others provided information to public bodies that enabled them to improve their planning efforts作者: 按時間順序 時間: 2025-3-25 00:50 作者: 木訥 時間: 2025-3-25 05:26
Dennis Hirsch,Timothy Bartley,Piers Norris TurnerProvides models for how organizations can achieve responsible and ethical AI.Offers a comprehensive account of how leading companies govern their use of AI.Is one of the first works to focus specifica作者: LEER 時間: 2025-3-25 10:37 作者: 侵略者 時間: 2025-3-25 13:34 作者: aesthetician 時間: 2025-3-25 19:45 作者: OMIT 時間: 2025-3-25 23:55
https://doi.org/10.1007/978-3-319-75681-3 who use their card to pay for marital counseling. This Conclusion illustrates how an organization could use the data ethics management strategies described in the prior chapters to arrive at a responsible answer to this question.作者: 多嘴 時間: 2025-3-26 01:41
https://doi.org/10.1007/978-3-031-21491-2AI Ethics; Data Ethics; AI Ethics Management; Responsible AI; Governance of AI; Responsible data science; 作者: 敲竹杠 時間: 2025-3-26 07:16
978-3-031-21490-5The Editor(s) (if applicable) and The Author(s) 2024作者: LAP 時間: 2025-3-26 11:12
Introduction, other harms that injurepeople and damage business reputation. To succeed in today’s economy, companies needto implement AI in a responsible and ethical way. The question is: How to do this? Thisbook points the way. The authors interviewed and surveyed AI ethics managers at leadingcompanies. They as作者: glowing 時間: 2025-3-26 15:16 作者: 假 時間: 2025-3-26 18:01
Risks: From Privacy and Manipulation to Bias and Displacement,managers and their advisors think about advanced analytics and AI. Both survey respondents and interview participants highlighted a broad range of concerns raised by their use of advanced analytics ranging from invasion of privacy and manipulation to bias against protected classes and concerns about作者: 減震 時間: 2025-3-27 00:14 作者: 允許 時間: 2025-3-27 05:03
,Motivations—Why Do Companies Pursue Data Ethics?,rent pressures and incentives may encourage companies to adopt data ethics policies. These include issues of corporate and industry reputation (particularly in the wake of scandals), emerging or looming regulation (in both the U.S. and other jurisdictions, especially the EU), demand from employees, 作者: 消瘦 時間: 2025-3-27 05:49 作者: 劇本 時間: 2025-3-27 11:15
Management Structures and Functions,these challenges, of new organizational roles and structures to manage data ethics. The nature of data ethics management requires organizations to move away from traditional compliance or quality control check modes and towards prevention of ethically problematic actions. Some organizations have pro作者: Mutter 時間: 2025-3-27 16:33
Technical Solutions, building analytic and AI models. Survey respondents discussed solutions that ranged from privacy preserving data management strategies such as differential privacy, to the use of virtualization and data lake control systems for secure access. Survey respondents also keyed in on the clear and pressi作者: GROSS 時間: 2025-3-27 20:00 作者: 緊張過度 時間: 2025-3-27 23:05 作者: 的染料 時間: 2025-3-28 05:14 作者: farewell 時間: 2025-3-28 07:46
2192-855X their use of AI.Is one of the first works to focus specifica.This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous ins作者: separate 時間: 2025-3-28 12:28
Book‘‘‘‘‘‘‘‘ 2024and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethic作者: quiet-sleep 時間: 2025-3-28 17:53 作者: 生來 時間: 2025-3-28 18:57 作者: Enliven 時間: 2025-3-28 23:23 作者: landmark 時間: 2025-3-29 06:01
Melanie M. Hughes,Joshua Kjerulf Dubrow examine how types of markets (business-to-business vs. business-to-consumer), media and stakeholder pressures, and perceptions of regulation may be related to whether companies have a data ethics policy or not.作者: 奇怪 時間: 2025-3-29 08:26 作者: calamity 時間: 2025-3-29 11:44 作者: parallelism 時間: 2025-3-29 17:56
What is Business Data Ethics Management?,inue to evolve. The literature has described such beyond compliance behavior with respect to corporate environmental performance. This Book documents beyond compliance behavior with respect to business governance of advanced analytics and AI.作者: BILK 時間: 2025-3-29 21:38
,Motivations—Why Do Companies Pursue Data Ethics?, examine how types of markets (business-to-business vs. business-to-consumer), media and stakeholder pressures, and perceptions of regulation may be related to whether companies have a data ethics policy or not.作者: breadth 時間: 2025-3-30 03:30
