This seminal volume offers an interdisciplinary exploration into the rapidly evolving field of artificial intelligence and its societal implications. Written by leading scholars Soenke Ziesche and Roman V. Yampolskiy, the book delves into a multitude of topics that address the rapid technological advancements in AI and the ethical dilemmas that arise as a result.
The topics explored range from an in-depth look at AI welfare science and policy frameworks to the mathematical underpinnings of machine intelligence. These subjects include discussions on preserving our personal identity in technological contexts as well as on the question of AI identity, innovative proposals towards the critical AI value alignment problem and a call to merge Western and non-Western approaches towards universal AI ethics. The work also introduces unconventional yet crucial angles, such as the concept of "ikigai" in AI ethics and a pioneering attempt to map a potential AI-driven ikigai universe as well as the role of design formalisation, or "Designometry," in the creation of artefacts.
By offering a balanced mix of theoretical and applied insights, the book serves as an invaluable resource for researchers, policymakers and anyone interested in the future of AI and the extent of its impact on society.
Interesting read with some fresh viewpoints on AI. However, I did not love the writing style of this book. It also felt like the chapters were too short to really get into debt on any of the subjects that are discussed. Each chapter feels like an introduction to a new subject but none of the subjects are sufficiently elaborated upon. I wish they would have limited the amount of chapters so each chapter could be more in-depth.
I enjoyed the chapter that relates AI to ikagai. The chapter on non-foreign ethical theories was one I was really looking forward to, which turned out to be the most disappointing chapter as it was really short and kind of felt like an after-thought. I was really expecting more out of this chapter.
All in all, I do recommend it to anyone who is interested in the future of AI. It's a quick read and it is interesting enough to bring forth some new questions and considerations about AI that previously may have been overlooked. It definitely motivated me to learn more about some of the subjects that are introduced in this book.