Trustworthy Artificial Intelligence Implementation: Introduction to the TAII Framework (Business Guides on the Go) - Softcover

Über die Autorin bzw. den Autor

Josef Baker-Brunnbauer worked for over 20 years in various fields for start-ups and established companies in international projects for market-leading clients. He now consults companies on business model innovation, product innovation, change and digital transformation projects through his consulting company product-xyz.com and leading research projects for SocialTechLab.eu. His research focus is chiefly on socio-technical systems, trustworthy artificial intelligence and its social impacts. A member of the AI Alliance of the European Commission, he holds a joint master’s degree in international business administration (MBA) from LIMAK Johannes Kepler University, Linz (Austria) and Tsinghua University, Beijing (China); a degree in software engineering; a diploma in life counselling and coaching (LSB); a diploma in enterprise design thinking from IBM; a joint diploma in product management from the Marketing Academy Munich (Germany) & University of Applied Sciences Upper Austria; and a master’s degree in psychosocial counselling (MSc) from the Karl-Franzens University of Graz (Austria). 

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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.