Introduction This book brings readers to enter future artificial intelligent society. Readers can feel themselve what who will face positive or negative influences to impact them in this scientific (AI) journey. I write this book aim to research these two questions: (1) Does robot bring only positive impact to influence our societies' life, it won't bring negative impact to influence our societies' life? (2) How can we adapt to accept robot brings negative influences to our societies? In future, artificial intelligence will possible to popular to use in global societies. Instead of its positive impacts, whether it has negative impacts to influence our societies, whether how we can accept this new technology to adapt to our life, whether what our social acceptance needs to change our life attitudes to adapt this new technology invention to impact our daily life. In my this book, I shall follow economy, employment, job, culture several aspect influences to indicate whether how we need to change our life attitudes to adapt this new technology to bring the influences to our life. This book will give some opinions how human needs to change our life attitudes in order to accept this new technology invention to be applied to our global societies.

IntroductionI write this book aim to research these two questions: (1)Does robot bring only positive impact to influence our societies' life, it won't bring negative impact to influence our societies' life?(2) How can we adapt to accept robot brings negative influences to our societies?In future, artificial intelligence will possible to popular to use in global societies. Instead of its positive impacts, whether it has negative impacts to influence our societies, whether how we can accept this new technology to adapt to our life, whether what our social acceptance needs to change our life attitudes to adapt this new technology invention to impact our daily life. In my this book, I shall follow economy, employment, job, culture several aspect influences to indicate whether how we need to change our life attitudes to adapt this new technology to bring the influences to our life. This book will give some opinions how human needs to change our life attitudes in order to accept this new technology invention to be applied to our global societies.

⦁How can (AI) technology impact to global economic and social and psychological changes? What will be the development of (AI) technology and predictions concerning the future evolution? The computers and robots will develop conscious, intelligent and minds into humans, enhancing psychological and behavioral abilities and allowing for direct communication with (AI) minds. (AI) technology will be impacted human life by (AI) technology information communicative and environmental influence. A " world brain" and " world mind", this psychological system will be enhanced and enriched the capacities of both individual and collective cognition by (AI) technology of service industries.(AI) technology with influence these human needs of service industries changes, such as, biological science, finance, entertainment, business, biological science, transportation, communication military etc. The personal computer evolution, the internet and the world wide web which exploded on the scene, linking business, homes, schools, social organizations which were a completely unpredicted phenomenon to influence human life. Kurzweil (1999) predicts that by 2029 year, most human communication will be with machines. According to Person, by 2100 year, there will be human machine convergence. How can (AI) technology influence environmental protection to make benefits to farming economic growth? (AI) technology can be applied to predict how to solve environmental pollution challenge to avoid to damage any crop or vegetable or rice or fruit etc. food growth. Because environmental experts can gather global environmental pollution data from an environmental database to build a perform a systematic analysis from (AI) technology. The first step is this broad analysis can include understanding, statistical and data gathering techniques to obtain the relevant data, the correlation among the variables involved, and a list of possible models. The next step is to select a set of methods and models that cover all kinds of knowledge and functionalities needed for the decision making process. Once the models are selected, they must be fully implemented by means of machine learning, data mining, statistical or numerical technique. After that, those models must be integrated to build the whole EDSS. The EDSS must be tested to check its performance, accuracy, usefulness and reliability, both from the user's and (AI) technology/computer scientist's point of view. If these is any wrong feature in any development stage, such as model's integration, models' implementation, selection of models, database, problem analysis etc. the developers must come back in the update th required components. When the evaluation phase is all right, the EDSS is ready to be applied to the environment. The great contribution of artificial intelligence to EDSS the integration of several methods complementing the classical statistical models/simulation, statistical analysis, linear models, etc. and numerical models ( control algorithms, optimization techniques etc.) .

Chapter OneFuture challenges face robot social acceptanceNowadays, it is increasingly common for people to use into contract with robots in various situations at home, in retail centers, hotels and hospitals, schools, elder care centers etc. different places. Robots are classified into several types, based on their functionality ( service and utility robots or designed to communicate or teaching or caring elders with humans) and appearance ( Human aid robots or mechanical robots). These different types of robots will be particular important to be applied, reflects the sense of values and preferences of some countries of their population to use. For example, Japan, Hong Kong will apply robots in teaching students in schools, caring elder people at homes or elder centers, restaurant cooker and waiter etc. service job aspects. In the future, services robots will be possible applied to care patients in hospital.US concentrates on applying robots on non-manual auto driving vehicles utility aspect, It is possible that US robot manufacturers will manufacturer many non-manual auto driving vehicles or non-manual auto driving taxis, buses, trains, trams, even, ferries, air planes etc. public transportation tools to replace manual driving transportation tools in the future one day.Then, robot invention will cause these challenges to influence our societies. In our employment market or job nature changing challenge aspect: If it is true that any one of these human service jobs, such as waiter, cooker, transportation tool driver, teachers, nurses etc. different kind of service occupations which are replaced by robots. It will bring sudden unemployment challenge for these any one of occupations in our global societies.Nomura research institute Ltd (NRI) (2015) has conducted a consumer survey in Japan, the US, and Germany on the topic of robots and artificial intelligence (AI). In Japan, respondents often associate the term " robots" with humanoid robot that can communicate with humans and they have a high level of familiarity with robots. Because Japan robot consumers who are main home users, who buy robots main aims to teach whose children to learn language. It seems that these education service human robots won't influence Japan's education employment to raise unemployment chance in possible. It means Japan's teachers won't face unemployment challenge, due to schools choose to apply teaching robots to replace human teacher occupation, because teaching robots are applied in home education to teach children at Japan's homes in popular nowadays. But, it does not represent future Japan's teachers who won't face competition from teaching robots. If teaching robots are accepted to apply in Japan any primary, secondary, even universities to assist teachers to teach students, when teaching robots are invented to own human teacher's teaching skills, language skills and analytical and writing skills, than Japan's teachers will face unemployment in possible.Nomura research institute ltd's consumer survey has indicated that the three countries, the US, has the highest level of robot utilization at home and retail stores with its people being the most enthusiastic about the future use of robots are professional service machines. So, they are accepted to apply in home cleaning jobs, retail stores security job and cleaning job and customer service job nature in these two places in popular. However, US service occupational worker will face challenges, if one day all US employers accepted any service nature of any jobs can be done by any kinds of service robots in the future one day. Then, it will cause US any kinds of service workers, who face unemployment challenge.

Nowadays, (AI) related industrial applications will replace most human power in fields, including call centers, customer services and air cargo transportation. (AI) technologies also help weather forecasting based on repeated rainfall pattern ( data) recognition, through robotics ( i.e. floor cleaning, moving lawns etc.) transporting people and products with unmanned vehicles, sending space unmanned smart shuttles, developing robotic arms, predicting market values in stock exchanges by internet, making homes safer, helping elderly and disabled using robotic servants etc. Among the (AI) related technologies, there are a few that significance for the impact on society and especially on digital economy . (AI) is particularly influential in machine learning. Such as robotics, transportation, finance, health and bioinformatics, e-commerce, e-games, big online data gathering and internet-of-things. For example, machine e-learning is based in bioinformatics and robots that can learn new skills for better caregiving in healthcare. What is machine e-learning? Machines can e-learn from e-data gathering, coming up generalizations and making decisions to act in certain ways from internet.There are important applications, such as e-machine perception, electronic online natural language learning processing, online search engines, online bioinformatics, online brain -computer interface, online game playing, online robot locomotion, online advertising, online computations finances, online health monitoring, online DNA classification and decision making, online in chemistry -cheminformatics . So, online machine learning can positively impact productivity and it can enhance information and analytical system from (AI) online channel.What is robotics? Robotics is one of the most strongly influenced fields in (AI). For example, heavy manufacturing industries, robots and used and man power is replaced for effectiveness, precision, and accuracy, especially in respective or dangerous tasks, including welding, assembling, picking and placing . So, robots can acquire new skills or adapt the changing dynamic environment. Also, artificial intelligence can be applied in developing transportation. For example, automated vehicles, driver assistance systems, safety systems, collision avoidance systems and public transportation. Moreover, (AI) technology has proven to produce some of the best tools to predict stock market fluctuations from internet data gathering method. It's predictions are based on ever-evolving predictions algorithms and systems learn new models and make connections between historical data and new data to measure stock market trading more accurate from internet data gathering channel. In health field, especially in health data processing, analysis, decision making support and medical diagnosis. So, online data can show which patients will need what treatment and what alternative drugs could be used more accurate from (AI) online data gathering method. Bioinformatics is an interdisciplinary field combining statistics, (AI) online technology can help in discovering data patterns and modeling through the application of machine learning, artificial neural networks and genetic algorithms. For example, further (AI) technology development of human genome project of online data sequences. Online shopping can be facilitated by virtual assistants developed through (AI) technology and these assistants can offer the best advice. (AI) online purchase coming after every product image recommendations and personalization bring important revenue to shopping online sites, like Amazon . Smart computer graphics and games, artificial intelligence is useful in smarter computer, graphics, scene modeling, scene rendering processes in order to create, for example, effective human -robot interactions, online machine learning, online strategic games techniques etc. online computer related (AI) software.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data