Progressive cyber-human intelligence for social good

作     者：Rikakis, Thanassis Kelliher, Aisling Huang, Jia-Bin Sundaram, Hari 

作者机构：Department of Bioengineering Virginia Tech United States Department of Computer Science Institute for Creativity Arts and Technology Virginia Tech United States Bradley Electrical and Computer Engineering Department Virginia Tech United States Computer Science and Advertising Departments University of Illinois at Urbana-Champaign United States 

出 版 物：《Interactions》 (Interactions)

年 卷 期：2018年第25卷第4期

页      面：52-56页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：There is little doubt at this point that the growth and maturation of AI will be a major influence on the economy and society overall. Significant work is underway both on advancing AI and on combining human and artificial intelligence to improve the functionality and user experience of AI-based methods, tools, and services. Advanced AI is successfully reshaping many transactional contexts such as image search and purchase recommendations, as well as contexts that involve repetitive activity, such as manufacturing. However, AI is progressing much more slowly in contexts that involve rich experiences aimed at advancing human intelligence and the overall human condition -- for example, in education. A potentially unintended consequence of this is increased emphasis on the lower-hanging fruit of transactional and repetitive contexts, and less emphasis on the more complex human-development contexts that are critical for a healthy society. This article proposes a design approach for tackling the integration of AI into human-development contexts while promoting the development of new forms of cyber-human intelligence.