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.
