How to make Artificial Wisdom possible

2020 ◽  
Vol 32 (8) ◽  
pp. 909-911
Author(s):  
Howard C. Nusbaum
Keyword(s):  
2020 ◽  
Vol 32 (8) ◽  
pp. 993-1001 ◽  
Author(s):  
Dilip V. Jeste ◽  
Sarah A. Graham ◽  
Tanya T. Nguyen ◽  
Colin A. Depp ◽  
Ellen E. Lee ◽  
...  

ABSTRACTBackground:The ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term “intelligence” does not best represent the technological needs of advancing society, because it is “wisdom”, rather than intelligence, that is associated with greater well-being, happiness, health, and perhaps even longevity of the individual and the society. Thus, the future need in technology is for artificial wisdom (AW).Methods:We examine the constructs of human intelligence and human wisdom in terms of their basic components, neurobiology, and relationship to aging, based on published empirical literature. We review the development of AI as inspired and driven by the model of human intelligence, and consider possible governing principles for AW that would enable humans to develop computers which can operationally utilize wise principles and result in wise acts. We review relevant examples of current efforts to develop such wise technologies.Results:AW systems will be based on developmental models of the neurobiology of human wisdom. These AW systems need to be able to a) learn from experience and self-correct; b) exhibit compassionate, unbiased, and ethical behaviors; and c) discern human emotions and help the human users to regulate their emotions and make wise decisions.Conclusions:A close collaboration among computer scientists, neuroscientists, mental health experts, and ethicists is necessary for developing AW technologies, which will emulate the qualities of wise humans and thus serve the greatest benefit to humanity. Just as human intelligence and AI have helped further the understanding and usefulness of each other, human wisdom and AW can aid in promoting each other’s growth


Computer ◽  
2019 ◽  
Vol 52 (10) ◽  
pp. 70-74 ◽  
Author(s):  
Tae Wan Kim ◽  
Santiago Mejia

AI & Society ◽  
2012 ◽  
Vol 28 (2) ◽  
pp. 199-207 ◽  
Author(s):  
David Casacuberta Sevilla
Keyword(s):  

Author(s):  
Zihao Wang ◽  
Jia Liu ◽  
Hengbin Cui ◽  
Chunxiang Jin ◽  
Minghui Yang ◽  
...  

With the rapid growth of internet finance and the booming of financial lending, the intelligent calling for debt collection in FinTech companies has driven increasing attention. Nowadays, the widely used intelligent calling system is based on dialogue flow, namely configuring the interaction flow with the finite-state machine. In our scenario of debt collection, the completed dialogue flow contains more than one thousand interactive paths. All the dialogue procedures are artificially specified, with extremely high maintenance costs and error-prone. To solve this problem, we propose the behavior-cloning-based collection robot framework without any dialogue flow configuration, called two-stage behavior cloning (TSBC). In the first stage, we use multi-label classification model to obtain policies that may be able to cope with the current situation according to the dialogue state; in the second stage, we score several scripts under each obtained policy to select the script with the highest score as the reply for the current state. This framework makes full use of the massive manual collection records without labeling and fully absorbs artificial wisdom and experience. We have conducted extensive experiments in both single-round and multi-round scenarios and showed the effectiveness of the proposed system. The accuracy of a single round of dialogue can be improved by 5%, and the accuracy of multiple rounds of dialogue can be increased by 3.1%.


AI & Society ◽  
2020 ◽  
Vol 35 (4) ◽  
pp. 937-944
Author(s):  
Cheng-hung Tsai

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