A Study on Ping Lu’s Artificial Intelligence Report - Author’s literary imagination depictingthe post human potential voice and future society -

2020 ◽  
Vol 31 ◽  
pp. 211-230
Author(s):  
Young-joon Cho

In this chapter, the authors present final observations and concluding thoughts about the future social implications of artificial intelligence (AI). One of the major reasons why humans stand out from other creatures is because of our mental capacity and demonstration of intelligence. However, AI has the potential to eclipse human potential with the same and potentially greater capacity as it matures towards ‘general' and ‘super' intelligence. However, the immediate challenge remains our capacity to feel safe with AI innovations and to have faith in their capacity to conduct themselves without prejudice, to eliminate any mistakes, and to conduct themselves in an equitable manner. It is expected that humanity will have a better understanding of what principles of awareness and aptitude are. Thankfully, these are issues with a lot of relevance in the modern world; the opportunity to develop an AI future society with positive benefits is achievable – if we act collectively and multi-laterally on a global scale.


Author(s):  
Mikhail V. Vinichenko ◽  
Marina V. Rybakova ◽  
Galina Y. Nikiporets-Takigawa ◽  
Oхana L. Chulanova ◽  
Natalia V. Ljapunova

The article discusses the nature of the influence of artificial intelligence on the development of human potential from the point of view of the Orthodox clergy and their parishioners. Methodologically, surveys and statistics were used to find out the opinion of the study subjects. A common phenomenon in the study was a unique consolidated position of all categories of Orthodox respondents on the danger that artificial intelligence represents. Most Orthodox are concerned about the unpredictability of creating and using artificial intelligence, especially in a pandemic. The authors considered the position of clergy, parishioners with and without a church on the nature of artificial intelligence's influence on human potential, the threats and risks to humans that come from artificial intelligence. The main advantage of the work is the results obtained on the basis of the comparative analysis of the positions of different categories of orthodox respondents on the nature of the influence of artificial intelligence on the development of human potential. In conclusion, the results can be used to develop a categorical-conceptual apparatus, to systematize knowledge about the use of artificial intelligence in the social and spiritual spheres.


Education ◽  
2021 ◽  
Author(s):  
Jaekyung Lee ◽  
Richard Lamb ◽  
Sunha Kim

Rapid technological advances, particularly recent artificial intelligence (AI) revolutions such as digital assistants (e.g., Alexa, Siri), self-driving cars, and cobots and robots, have changed human lives and will continue to have even bigger impact on our future society. Some of those AI inventions already shocked people across the world by wielding their power of surpassing human intelligence and cognitive abilities; see, for example, the examples of Watson (IBM’s supercomputer) and AlphaGo (Google DeepMind’s AI program) beating the human champions of Jeopardy and Go games, respectively. Then many questions arise. How does AI affect human beings and the larger society? How should we educate our children in the AI age? What changes are necessary to help humans better adapt and flourish in the AI age? What are the key enablers of the AI revolution, such as big data and machine learning? What are the applications of AI in education and how do they work? Answering these critical questions requires interdisciplinary research. There is no shortage of research on AI per se, since it is a highly important and impactful research topic that cuts across many fields of science and technology. Nevertheless, there are no effective guidelines for educational researchers and practitioners that give quick summaries and references on this topic. Because the intersection of AI and education/learning is an emerging field of research, the literature is in flux and the jury is still out. Thus, our goal here is to give readers a quick introduction to this broad topic by drawing upon a limited selection of books, reports, and articles. This entry is organized into three major sections, where we present commentaries along with a list of annotated references on each of the following areas: (1) AI Impacts on the Society and Education; (2) AI Enablers: Big Data in Education and Machine Learning; and (3) Applications of AI in Education: Examples and Evidence.


2021 ◽  
pp. 102-110
Author(s):  
А.Я. Яфасов ◽  
Н.А. Кострикова

Сформулированы задачи рыбной отрасли, связанные с экономической, продовольственной и общей безопасностью России, реализацией Национальной технологической инициативы и переходом национальной экономики в цифровую экономику и Индустрию 4.0. Для их решения сформулированы ключевые условия успешной цифровой трансформации отрасли, заключающиеся в развитии технологий и оборудования добычи и глубокой переработки водных биологических ресурсов, рециклинга, ускоренной цифровизации отрасли с использованием цифровых платформ, ситуационных центров, искусственного интеллекта и др. инструментов информационных технологий. Проведена оценка влияния ресурсной, технологической, продуктовой и цифровой трансформации рыбной отрасли России и новых технологий глубокой переработки морепродукции, на развитие рыбной отрасли России. За правовую базу модернизации рыбной отрасли взяты Декларация Генеральной ассамблеи ООН от 25 сентября 2015 года «Преобразование нашего мира: Повестка дня в области устойчивого развития на период до 2030 года», Морская доктрина и Доктрина продовольственной безопасности России и другие нормативно-правовые акты. Новизной работы является выявление существенных условий успешности перестройки рыбной отрасли, заключающихся в обеспечении конгруэнтности всех процессов модернизации, учете изменений характеристик Мирового океана и необходимости перехода от парадигмы «Устойчивое развитие» к «Управлению, основанному на оценке рисков». Новый подход требует применения новых инструментов мониторинга, рапид-форсайтов и оценки рисков, в частности, с использованием «Цифровых двойников, следов и теней», Big Data и искусственного интеллекта. Предлагается рассматривать рыбную отрасль России как единую социально-экономическую и производственно-экологическую среду, в которой обеспечивается конгруэнтное развитие человеческого потенциала, производственной инженерно-технологической среды, киберфизических систем и информационных систем управления. Расширение и цифровое изменение бизнес-процессов в рыбной отрасли обеспечит конвергентное взаимодействие всех акторов отраслевой экономики и управления, перерастание производственных технологий в разряд эмерджентных, позволяя кратно увеличить ВВП отрасли в течение 2022 - 2035 гг. The tasks of the fishing industry related to the economic, food and general security of Russia, the implementation of the National Technology Initiative and the transition of the national economy to the digital economy and Industry 4.0 are formulated. To solve them, the key conditions for a successful digital transformation of the industry have been formulated, consisting in the development of technologies and equipment for the extraction and deep processing of aquatic biological resources, recycling, accelerated digitalization of the industry using digital platforms, situational centers, artificial intelligence and other tools. information technologies. An assessment was made of the impact of the resource, technological, food and digital transformation of the Russian fishing industry and new technologies for deep processing of seafood on the development of the Russian fishing industry. The legal basis for the modernization of the fishing industry was taken from the UN General Assembly Declaration of September 25, 2015 “Transforming our world: the 2030 Agenda for Sustainable Development”, the Marine Doctrine and the Doctrine of Food Security of Russia and other regulatory legal acts. The novelty of the work is the identification of essential conditions for the success of the restructuring of the fishing industry, which consists in ensuring the congruence of all modernization processes, taking into account changes in the characteristics of the World Ocean and the need to move from the Sustainable Development paradigm to Risk-Based Management. The new approach requires the use of new monitoring tools, rapid foresight and risk assessment, in particular, using “Digital twins, traces and shadows”, Big Data and artificial intelligence. It is proposed to consider the fishing industry of Russia as a single socio-economic and production-ecological environment, in which the congruent development of human potential, industrial engineering and technological environment, cyber-physical systems and information management systems is ensured. The expansion and digital change of business processes in the fishing industry will ensure the convergent interaction of all actors of the sectoral economy and management, the development of production technologies into the category of emerging technologies, allowing a multiple increase in the industry's GDP during 2022 - 2035.


Author(s):  
Daeyeol Lee

What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is artificial intelligence (AI) fundamentally different from human intelligence? Rapid expansion of AI applications has made these questions pressing. To better prepare for the future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision-making and intelligent behaviors, this book proposes that true intelligence requires life.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

Sign in / Sign up

Export Citation Format

Share Document