Artificial Era Predictions, Problems, and Diversity in AI
Artificial Era Predictions, Problems, and Diversity in AI by Gissel Velarde, published by Oxford University Press on January 9, 2024, offers a comprehensive examination of technology trends and their societal impacts, particularly focusing on Artificial Intelligence. This 304-page book delves into the relationship between AI and human development, emphasizing education and innovation while exploring the potential for an impending Artificial Cataclysm. The author presents a balanced discussion of the positive and negative consequences of technological advancements, supported by various opinions and statistics.
Readers will find an in-depth analysis of Artificial Intelligence concepts and the reasons behind the development of AI strategies in different countries. The book investigates the gender disparities in technological jobs and their societal implications, alongside educational paradigms that may foster human development. Additionally, it addresses the human inclination toward prediction and offers insights into future possibilities and strategies for navigating a highly automated world. This edition serves as a valuable resource for those interested in the intersection of technology, society, and the evolving landscape of AI.
Official synopsis Publisher
The book presents a groundbreaking view of technology trends and their impact on society. It focuses mainly on the impact of Artificial Intelligence and human development through education and innovation. It introduces the waves of the Surreal Technological Progress during the Artificial Era, and announces a possible Artificial Cataclysm in the next years. There is an extensive debate about the positive and negative consequences of technological innovations. Thus, the book presents different opinions and statistics. It reviews concepts of Artificial Intelligence and Intelligence in general. Besides, it explains why many countries are developing an Artificial Intelligence strategy, and how companies and startups can acquire the technology. It investigates why technological jobs are male-dominated in several regions of the world and its consequences for society, considering gender gaps and lack of diversity. It also reviews educational paradigms that might help human development. It finally explains the human motivation for prediction, presents opinions and predictions about the future, as well as possible strategies to cope with it in a highly automated world
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