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The bridgerton paradox in artificial intelligence = balancing diversity, authenticity, and responsible innovation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The bridgerton paradox in artificial intelligence/ by Somendra Narayan.
其他題名:	balancing diversity, authenticity, and responsible innovation /
作者:	Narayan, Somendra.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xix, 105 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Introduction to the Bridgerton Paradox -- Chapter 2: Historical Context and Philosophical Foundations -- Chapter 3: Beyond the Buzzwords Confronting the Myths and Realities of Diversity in AI -- Chapter 4: The Role of Data: Representation and Bias -- Chapter 5: Balancing Historical Authenticity and Modern Inclusivity -- Chapter 6: Ethical Frameworks for AI Development -- Chapter 7: The SocioTechnical Systems Perspective -- Chapter 8: Toward a Decolonized AI -- Chapter 9: Memory Machines and the Futures We Inherit.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Moral and ethical aspects. -
電子資源:	https://doi.org/10.1007/978-3-031-99493-7
ISBN:	9783031994937

The bridgerton paradox in artificial intelligence = balancing diversity, authenticity, and responsible innovation /
Narayan, Somendra.

The bridgerton paradox in artificial intelligencebalancing diversity, authenticity, and responsible innovation /[electronic resource] :by Somendra Narayan. - Cham :Springer Nature Switzerland :2025. - xix, 105 p. :ill., digital ;24 cm.

Chapter 1: Introduction to the Bridgerton Paradox -- Chapter 2: Historical Context and Philosophical Foundations -- Chapter 3: Beyond the Buzzwords Confronting the Myths and Realities of Diversity in AI -- Chapter 4: The Role of Data: Representation and Bias -- Chapter 5: Balancing Historical Authenticity and Modern Inclusivity -- Chapter 6: Ethical Frameworks for AI Development -- Chapter 7: The SocioTechnical Systems Perspective -- Chapter 8: Toward a Decolonized AI -- Chapter 9: Memory Machines and the Futures We Inherit.

The term 'Bridgerton Paradox' is inspired by the Netflix series 'Bridgerton', which depicts a racially inclusive elite society in Regency-era England, challenging traditional historical accuracy in favor of modern tastes and sensibilities. This creative choice mirrors the broader ethical and methodological challenges faced by AI technologies, which must navigate the delicate interplay between contemporary values of diversity and the preservation of historical contexts. This book offers a critical and forward-thinking examination of the interplay between diversity and historical authenticity in AI within the organisational setting. It provides a robust theoretical foundation, practical guidelines, and real-world examples, guiding the development of AI strategies that are both innovative and ethically sound. It will be of great interest to scholars and students of AI in business and society, diversity and inclusion and innovation strategy, as well as practitioners and policymakers seeking a nuanced opinion on the interplay of diversity and AI technologies. Somendra Narayan is an Assistant Professor of Strategy and Innovation at the Amsterdam Business School, University of Amsterdam, The Netherlands, and the Director of the Amsterdam Digital Transformation Lab. His research focuses on strategic change in the context of emerging technologies, particularly artificial intelligence, with an emphasis on purposeful and sustainable business model innovation, strategic decision-making under complexity, and the role of cognitive diversity, decolonial thought, and pluralist epistemologies in fostering inclusive innovation. His work further engages with themes like responsible digital transformation, quantum transformations, digital social entrepreneurship, and green-digital twin transitions from a socio-technical systems perspective.

ISBN: 9783031994937

Standard No.: 10.1007/978-3-031-99493-7doiSubjects--Topical Terms:

961670
Artificial intelligence
--Moral and ethical aspects.

LC Class. No.: Q334.7

Dewey Class. No.: 174.90063

The bridgerton paradox in artificial intelligence = balancing diversity, authenticity, and responsible innovation /
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