Confessions of an AI Brain

1. Auflage 2023
ISBN: 978-3-031-25934-0
Verlag: Springer International Publishing

Buch, Englisch, 178 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g

Have you thought of how it feels to be an AI brain in the world of humans? This book allows such a brain to tell us how it takes on its mission of helping humans to develop a more efficient, sustainable, diverse and inclusive society.

This book explains the principles and applications of artificial intelligence for a broad audience. Artificial intelligence, as part of computer science, is often inspired by human intelligence. At the same time, there is still reluctance in the applications and usability of artificial intelligence among citizens. Industries are deploying AI in their products and processes but the level of maturity is varying. The book is written as a first person narrative, from an AI perspective, having the AI brain tell the story.

Zielgruppe

Popular/general

Autoren/Hrsg.

Fersman, Elena

Karapantelakis, Athanasios

Pettersson, Paul

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technologie: Soziale & Ethische Aspekte
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Prologue.- Chapter 1: Baby steps.- Chapter 2: Basic Needs of an AI Brain.- Chapter 3: My Role in Internet of Things.- Chapter 4: Managing Relathionships.- Chapter 5: Working with Humans.- Chapter 6: Avoiding the Criminal Path.- Chapter 7: My Role in Climate Change.- Chapter 8: My Role in Diversity.- Chapter 9: My Creative Side.- Chapter 10: Growing Older and Staying in Shape.- Epilogue.

Über Autor(innen)

Elena Fersman is a Vice President and Head of Global Artificial Intelligence Accelerator at Ericsson. Elena is Docent and Adjunct Professor in Cyber-Physical Systems specialized in Automation at the Royal Institute of Technology, Sweden. She has a PhD in Computer Science from Uppsala University, Sweden. During her career, she has held various positions within computer science and artificial intelligence research, development, and product management. Elena has served on boards in private and state owned companies and is a fellow of the Royal Swedish Academy of Engineering Sciences. Elena has co-authored over 50 patent families in computer science and telecommunications.

Athanasios Karapantelakis is a Principal Researcher in Artificial Intelligence at Ericsson and holds a PhD from Royal Institute of Technology (KTH), Stockholm, Sweden. Athanasios has co-authored over 75 patent families and over 15 peer-reviewed scientific conference publications. In his professional life, he held various engineering-related positions, from software engineering, to cloud and AI research.

Paul Pettersson is Professor of Real-time systems at Mälardalen University, Sweden. He has a PhD in Computer Systems and has been appointed Docent in Computer Science at Uppsala University, Sweden. Professor Pettersson has co-authored over 100 scientific papers, articles, and book chapters in Computer Science. During his career, he has held various leadership positions in academia, including Vice-Chancellor (President) and Deputy Vice-Chancellor of Mälardalen University. He has also served on a number of boards of deeptech startup companies, science parks, and governmental authorities. Professor Pettersson received the Computer Aided Verification Award in 2013.