Trustworthy Artificial Intelligence Implementation
Introduction to the TAII Framework
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Beschreibung
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 inorganisations 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.
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.
Introduces a unique framework that demonstrats a holistic approach to Trustworthy AI Implementation Highlights the social impact and the responsibility of AI Contains empirical literature and qualitative research study
Autor*in
Josef Baker-Brunnbauer
Themen in »Trustworthy Artificial Intelligence Implementation«
Artificial Intelligence Ethics Trustworthy Artificial Intelligence AI Business Model Social Impact of Artificial Intelligence Trustworthy Artificial Intelligence Implementation TAII Framework Implementation Artificial Intelligence Act European Commission Artificial Intelligence Regulation European Union Artificial Intelligence Regulation Company Ecosystem AI and Ethics Philosophy of Artificial Intelligence Digital Ethics Computer Ethics
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“Teaching and training ethics is already a difficult task. Adding AI to the ethics discussion further complicates decision making for managers, but this book provides clear examples and urgency for it to be done. For practitioners and researchers who seek to help with organizational development and implementation of AI and AI ethics, this book can be a valuable asset. The scholarly studies cited … provide a rich empirical landscape from which to build a foundation for other empirical studies on Tall system implementation.” (Claretha Hughes, Robonomics, The Journal of the Automated Economy, Vol. 4, May, 2023)
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