Trustworthy Artificial Intelligence Implementation

lt;p>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).

1. Introduction.- 2. Artificial Intelligence.- 3. Ethics and Moral.- 4. Business and Management Perspective.- 5. Empirical Study.- 6. Findings.- 7. TAII Framework.

"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)

“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)