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Trustworthy Artificial Intelligence Implementation

Trustworthy Artificial Intelligence Implementation

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  • Release Date: 23/11/2023
  • Barcode: 9783031182778
  • Edition: 2023 ed.
  • Genre: Philosophy & Spirituality
  • Imprint Family: Springer International
  • Label: Springer International Publishing AG
  • Publisher Family: Springer
  • Publisher: Springer International Publishing AG
  • Subgenre: Computing & Internet
Trustworthy Artificial Intelligence Implementation

Trustworthy Artificial Intelligence Implementation

2023 ed.

Collapsible content

DESCRIPTION

Introduction to the TAII Framework
Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI.

It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company.


Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI.

It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles.

This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.

 



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