Fathoming the future of artificially intelligent robots

作     者：White, Brian E. 

作者机构：Complexity Are Us ← Systems Engineering Strategies United States 

出 版 物：《International Journal of Design and Nature and Ecodynamics》 (Int. J. Des. Nat. ecodyn.)

年 卷 期：2018年第13卷第1期

页      面：1-15页

核心收录：

基　　金：for a much more wide-ranging impact on knowledge-based employment. … software will be hosted in the cloud. … [and software] will eventually be poised to invade virtually every workplace and swallow up nearly any white-collar job that involves sitting in front of a computer manipulating information.’ [11  p. 107] •?‘… offshoring is very often a precursor of automation  and the jobs it creates in low-wage nations may prove to be short-lived as technology advances. What’s more  advances in artificial intelligence may make it even easier to offshore jobs that can’t yet be fully automated.’ [11  p. 115] Here’s an idea. Maybe tap the wealthy (highly successful) entrepreneurs to share most of their accumulated and future wealth with the general public to help the lower (and even middle) classes survive economically. This would  in part  be payback for some of the public’s earlier tax revenue which fueled many innovators with Federal research grants through DARPA (Defense Applied Research Project Agency)  NSF (National Science Foundation)  universities  small businesses  etc. [11  pp. 80–81] 

主　　题：Systems engineering 

摘      要：The world abounds with massive efforts to further develop artificial intelligence, mostly with hopes of achieving greater benefits to humankind. Not surprisingly, there is relatively little concern about the dangers associated with the, as yet hypothetical, eventual situation where robots might possess human-like capabilities of cognition, emotional experience, learning, etc. The following five propositions will be examined: 1. Could the most advanced robots ‘evolve’ to truly human-being levels of achievement within a foreseeable time frame? 2. Will robots ultimately take over all the jobs, including the making of robots, with relatively few human owners of robots (and most everything else) in charge? 3. Will humans live much longer and essentially turn into pseudo-robots through receiving more replacement body parts, even involving portions of the brain? 4. What are the possibilities of being psychologically manipulated by authoritarians using Big Data in knowing what citizens care about and how people think? 5. Will humans keep losing not only manual jobs but also knowledge positions with increasing robotic capabilities and the attractions of robotic replacements? The conclusive answers: a ‘no’ to Proposition 1;a ‘maybe’ to 2;possible ‘yeses’ to 3 and 4;and a definite ‘yes’ to 5;will be explained. This subject quite obviously overlaps some combination of at least three of our conference themes, viz., Complex Systems Engineering, Global Issues and Social Systems. The paper’s focus will be on framing the above-described topics in a matrix with two dimensions: holistic thinking perspectives (big picture, operational, functional, structural, generic, continuum, temporal, quantitative and scientific) and journalist questions (who, what, where, when, why and how). Several of the more interesting topics from this milieu will be elaborated upon to stimulate further thought, discussion, and research efforts. © 2018 WIT Press.