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Developing Information and Communications Technologies with More Artificial Intelligence, Using Artificial Intelligence, When Internet of Things is “Intelligence Everywhere” Part 2

Victor Greu

Romanian Distribution Committee Magazine, 2017, vol. 8, issue 1, 10-19

Abstract: The paper presents an analysis of the emergency of advanced artificial intelligence (AI) devices/systems/services and Internet of Things (IoT), in the context of Information and Communications Technologies (ICT) exponential evolution - as main driving factor of the progress of the Information society (IS) toward Knowledge Based Society (KBS). In the paper analysis, some trends and challenges of AI/IoT/ICT development, evolution and implementation issues are pointed, versus the benefits and consequences these issues could bring for humankind and Earth, in the IS/KBS context. The analysis premises include the impressive perspective of IoT, that would encode trillions of objects, covering, among others, smart home/cities, e-health, environment monitoring, smart grid, smart transportation, industrial applications, but besides others important fields where intelligence penetration is growing, including robots, smart communication networks, defense/security, social media, business intelligence etc. As expression of the IoT proliferation, the paper also presented the family of terms used for different areas of IoT applications, which are extending too, including a lot of important areas of humankind activity and also new fields and concepts, like Crowdsensing, TaaS, M2M, V2V, BAN, IoE etc. Despite the explosive evolution of IoT, which is an incontestable reality, the figures largely promoted in the last years, about the IoT forecasts, tend to be corrected and in the paper some reasons which led to these corrections have been identified, as it seems that the reasonable doubts are based on the counting models which led to the initial figures, but globally the correction factors include security, powering or e-waste for billions of sensors/devices. Because the ICT specialists world is hardly working to find the best solutions for a sustainable development of ICT/IoT/AI, considering the high complexity, performance and efficiency already reached today, the paper also presents some important examples of new technological advances intended to fight the mentioned corrected factors, including fog computing and nanorobots. After analysing the “line between AI and wisdom”, it resulted that AI must be conceived and then implemented by an intelligent design, in order to lead toward sustainable development – depending on wisdom involved when using the „double sharpened” power of Technology, i.e. without forcing its complex potential as wisdom is more and more difficult to obtain when complexity is increasing. Consequently, for AI/IoT/ICT development, in the future IS toward KBS, it will be very difficult to define and reach wisdom as complexity and other challenges generated by an exponential powerful development are also increasing. The analysis of some literature references confirmed that the preoccupation for the ICT exponential pace development, with complex challenges and difficult to forecast consequences, is largely spread and argued. Also, another concrete conclusion, confirmed in references, is that this development could become „unknowably’’ complex, because technologists could overdo in creating complex systems. Based on the these conclusions, it became obvious that their link with the AI growing evolution is just the essence of our paper point, because arriving in the situation to be more and more dependent of ICT/AI devices/systems that are „unknowably’’ complex, i.e. difficult to manage, is a real challenge for humankind and Earth survival! As support of this last (general) conclusion, the paper also analysed some actual examples, including emergent robo-taxis and fly robots, which could be relevant cases of AI amazing complexity, performance and proliferation, where there is a human - AI competition in making-decision vital processes and the specialists have hesitations when they have to give in the main decision attributes to robots/machines.

Keywords: advanced artificial intelligence; Internet of Things; information society; knowledge based society; robo-taxi; fly robots; nano-robots; crowdsensing; fog computing. (search for similar items in EconPapers)
JEL-codes: L63 L86 M15 O31 O33 (search for similar items in EconPapers)
Date: 2017
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