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Artificial Intelligence with Chinese Characteristics: National Strategy, Security and Authoritarian Governance
by Jinghan Zeng“This book provides the first book-lengthy study focusing on Artificial Intelligence (AI) with Chinese characteristics, in line with China’s open ambition of becoming an AI superpower by 2030. China’s unique domestic politics has developed distinct characteristics for its AI approach. By analysing national strategy, security and governance aspects of AI in China, this book argues that China’s AI approach is sophisticated and multifaceted, and it has brought about both considerable benefits and challenges to China. First, many characterize China’s AI approach as a nationally concerted top-down geopolitical strategy to advance Beijing’s unified objective. This book argues that this view is mistaken. It shows that China’s AI politics is largely shaped by economically rather than geopolitically motivated domestic stakeholders. In addition, China’s national AI plan is an upgrade of existing local AI initiatives to the national level, reflecting a bottom-up development. Thus, China’s AI strategy is more of a political manifesto rather than a concrete policy plan. The second part of the book discusses how the Chinese central government has been securitizing AI in order to mobilize local states, market actors, intellectuals and the general public. This security discourse is built on China’s historical anxieties about technology, regime security needs and the growing tension caused by great power competition. Despite its help in convincing domestic actors, however, this securitization trend may undermine key AI objectives. The third part of the book studies the Chinese governance approach to the use of AI. It argues that China’s bold AI practices are part of its broad and incoherent adaptation strategy to governance by digital means. AI is part of a digital technology package that the Chinese authoritarian regime has actively employed not only to improve public services but also to strengthen its authoritarian governance. While China’s AI progress benefits from its unique political and social environment, its ambitious AI plan contains considerable risks. China’s approach is gambling on its success in (a) delivering a booming AI economy, (b) ensuring a smooth social transformation to the age of AI, and (c) proving ideological superiority of its authoritarian and communist values. This book suggests that a more accurate understanding of AI with Chinese characteristics is essential in order to inform the debate regarding what lessons can be learnt from China’s AI approach and how to respond to China’s rise as the AI leader if not superpower.”
Artificial Intelligence with Microsoft Power BI: Simpler AI for the Enterprise
by Jen Stirrup Thomas J. WeinandyAdvance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization.Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity.Use Power BI to build a good data model for AIDemystify the AI terminology that you need to knowIdentify AI project roles, responsibilities, and teams for AIUse AI models, including supervised machine learning techniquesDevelop and train models in Azure ML for consumption in Power BIImprove your business AI maturity level with Power BIUse the AI feedback loop to help you get started with the next project
Artificial Intelligence with Power BI: Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
by Mary-Jo DiepeveenLearn how to create your own AI model and consume it in your Power BI reports to gain better insights from your dataKey FeaturesLearn how to gain better insights from your data by applying different AI techniques within Power BISave time by creating machine learning models independently and integrating them within your BI reportsUnderstand how to combine Cognitive Services and Azure Machine Learning together with Power BIBook DescriptionThe artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.What you will learnApply techniques to mitigate bias and handle outliers in your dataPrepare time series data for forecasting in Power BIPrepare and shape your data for anomaly detectionUse text analytics in Power Query EditorIntegrate QnA Maker with PowerApps and create an appTrain your own models and identify the best one with AutoMLIntegrate an Azure ML workspace with Power BI and use endpoints to generate predictionsWho this book is forThis artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.
Artificial Intelligence with Python
by Prateek JoshiBuild real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book • Step into the amazing world of intelligent apps using this comprehensive guide • Enter the world of Artificial Intelligence, explore it, and create your own applications • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn • Realize different classification and regression techniques • Understand the concept of clustering and how to use it to automatically segment data • See how to build an intelligent recommender system • Understand logic programming and how to use it • Build automatic speech recognition systems • Understand the basics of heuristic search and genetic programming • Develop games using Artificial Intelligence • Learn how reinforcement learning works • Discover how to build intelligent applications centered on images, text, and time series data • See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Artificial Intelligence with Python (Machine Learning: Foundations, Methodologies, and Applications)
by Teik Toe Teoh Zheng RongEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
by Ben AuffarthWork through practical recipes to learn how to solve complex machine learning and deep learning problems using PythonKey FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook DescriptionArtificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research.Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you'll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you'll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems.By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.What you will learnImplement data preprocessing steps and optimize model hyperparametersDelve into representational learning with adversarial autoencodersUse active learning, recommenders, knowledge embedding, and SAT solversGet to grips with probabilistic modeling with TensorFlow probabilityRun object detection, text-to-speech conversion, and text and music generationApply swarm algorithms, multi-agent systems, and graph networksGo from proof of concept to production by deploying models as microservicesUnderstand how to use modern AI in practiceWho this book is forThis AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You'll also find this book useful if you're looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.
Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2, 2nd Edition
by Prateek Joshi Alberto ArtasanchezNew edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x, and TensorFlow 2 Seven new chapters that include AI on the cloud, RNNs and DL models, feature engineering, the machine learning data pipeline, and more New author with 25 years of experience in artificial intelligence across multiple industries and enterprise domains Book Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Understand RNNs and various DL models Who this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Artificial Intelligence with Uncertainty
by Yi Du Deyi LiThis book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
Artificial Intelligence with Uncertainty
by Deyi Li Yi DuThe information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with U
Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons: First Workshop, WAILS 2024, Salerno, Italy, January 18-19, 2024, Proceedings (Lecture Notes in Computer Science #14545)
by Fabio Palomba Carmine GravinoThis book constitutes the refereed conference proceedings of the First Workshop on Artificial Intelligence with and for Learning Sciences - Past, Present, and Future Horizons, WAILS 2024, held in Salerno, Italy, during January 18-19, 2024. The 14 full papers and 5 short papers presented in this book were carefully reviewed. The contributions present and discuss previous achievements, current challenges and solutions, and future perspectives concerned with the adoption of artificial intelligence methods and techniques in the context of learning sciences.
Artificial Intelligence, Automation and the Future of Competence at Work (Routledge Studies in the Economics of Innovation)
by Jon-Arild JohannessenArtificial intelligence and the autonomous robots of the Fourth Industrial Revolution will render certain jobs and competences obsolete but will also create new roles, which in turn require new sets of skills. They will also transform how we produce, distribute and consume, as well as how we think. Rather than a linear understanding of evolutionary processes, we will develop a more interactive and circular interpretation. This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets, how artificial intelligence can help organizations to be more competitive and the new role of leadership in this technological landscape. The author argues that there are four categories of competences, which will be required in order to maintain the relevance of human skills and expertise in the innovation economy. The new jobs that come into being will lend themselves to a particular set of skills. General competences will be necessary for roles involving the 4Cs of communication, creativity, collaboration and change. Specific or STEM competences will be called for across the science, technology, engineering and mathematics sectors. Human competences will lend themselves to positions comprising the SELC framework of social, emotional, leadership and cultural skills. Critical or REVE competences will be in demand for roles embracing reflection, ethics, values and the environment. The book provides a human-centric view of the current technological advancements of artificial intelligence and robotics and offers a positive outlook for human actors seeking continued relevance. It will appeal to scholars and students of the innovation economy, the knowledge society and the coming Fourth Industrial Revolution.
Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: Volume 1 (Information Systems Engineering and Management #5)
by Yousef FarhaouiThis book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: Volume 2 (Information Systems Engineering and Management #6)
by Yousef FarhaouiThis book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
Artificial Intelligence, Blockchain and IoT for Smart Healthcare
by Mangey Ram Anuj Kumar Hitesh Kumar Sharma Sangeeta PantThe concepts of telemedicine and e-healthcare have eased as well as improved the reachability of experienced doctors and medical staff to remote patients. A patient who is living in a remote village area can directly connect to specialist doctors across the globe though his/her mobile phone using telemedicine systems and e-healthcare services. In pandemic situations like COVID-19, these online platforms helped society to get medical treatment from their residence without any physical movement. Technology is transforming human lives by playing an important role in the planning, designing, and development of intelligent systems for better service. This book presents a cross-disciplinary perspective on the concept of machine learning, blockchain and IoT by congregating cutting-edge research and insights. It also identifies and discusses various advanced technologies such as internet of things (IoT), big data analytics, machine learning, artificial intelligence, cyber security, cloud computing, sensors and so on that are vital to foster the development of smart healthcare and telemedicine systems by providing effective solutions to the medical challenges faced by humankind.
Artificial Intelligence, Blockchain, Computing and Security Volume 1: Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India, 24 - 25 February 2023
by Karan Singh Pawan Singh Mehra Arvind Dagur Dhirendra Kumar ShuklaThis book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Artificial Intelligence, Blockchain, Computing and Security Volume 2: Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India, 24 - 25 February 2023
by Karan Singh Pawan Singh Mehra Arvind Dagur Dhirendra Kumar ShuklaThis book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Artificial Intelligence, Business and Civilization: Our Fate Made in Machines (Routledge Focus on Business and Management)
by Andreas KaplanArtificial intelligence is shaking up economies around the world as well as society at large and is predicted to be either the best or worst thing to happen to humanity. This book looks at what exactly artificial intelligence is, how it can be classified, how it differentiates from other concepts such as machine learning, big data, blockchain, or the Internet-of-Things, and how it has evolved and might evolve over time. Providing a clear and unbiased picture of artificial intelligence, the book provides critical analyses of the advantages and disadvantages, opportunities and threats of AI progress for business and civilisation. Solutions and possible directions of how humanity might deal with rapid development and evolutions will be given and discussed, and consider regulation, employment, ethics, education and international cooperation. Unlike existing literature, this book provides a comprehensive overview of AI based on detailed analysis and insight. Finally, several real-life examples from various sectors and industries, including for profit organizations, higher education, and government, will substantiate and illustrate the presented concepts, classifications, and discussions. This book is of interest to researchers, educators, students, and practitioners alike who desire to understand AI in its broad lines and discover the latest research and studies within the field.
Artificial Intelligence, Co-Creation and Creativity: The New Frontier for Innovation (Routledge Studies in Innovation, Organizations and Technology)
by Francisco Tigre MouraArtificial intelligence (AI) has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly being developed with much greater optimal capabilities. Importantly, the success of implementing such tools for creative tasks is still heavily dependent on human supervision and input. Therefore, it is vital to understand and critically reflect on the nature of co-creative processes between humans and AI. This book addresses such issues and provides insights into how humans can augment their capabilities for generating creative and innovative outputs by successfully co-creating with AI.The book is intentionally divided into three main parts to allow for a comprehensive and holistic perspective on human and AI co-creation for creative tasks. The sections are divided as follows: Part 1: “Principles of AI and Creativity”, Part 2: “Critical Issues on Artificial Co-Creation”, and Part 3: “Industry-Specific Discussions”.Consequently, the book provides a holistic insight on the topic, covering various issues and perspectives and enabling an accessible read to a broad audience. For example, chapters cover examples across different industry sectors, including music, arts, science, and management. Furthermore, the book covers critical questions involving copyrights, ethical concerns, relationship with algorithms, and context-based issues. Only by critically reflecting on the intrinsic issues of AI and learning how to work with it effectively for creative purposes will we be able to benefit from its full potential to augment human creative abilities in an appropriate manner.This novel, edited collection is an essential read for scholars working on the intersection of AI, creativity, arts, and management.
Artificial Intelligence, Computational Modelling and Criminal Proceedings: A Framework for A European Legal Discussion (Legal Studies in International, European and Comparative Criminal Law #4)
by Serena QuattrocoloThis book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.
Artificial Intelligence, Computer and Software Engineering Advances: Proceedings of the CIT 2020 Volume 1 (Advances in Intelligent Systems and Computing #1326)
by Miguel Botto-Tobar Angela Díaz Cadena Henry CruzThis book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:Artificial IntelligenceComputational ModelingData CommunicationsDefense EngineeringInnovation, Technology, and SocietyManaging Technology & Sustained Innovation, and Business DevelopmentModern Vehicle TechnologySecurity and CryptographySoftware Engineering
Artificial Intelligence, Computer and Software Engineering Advances: Proceedings of the CIT 2020 Volume 2 (Advances in Intelligent Systems and Computing #1327)
by Miguel Botto-Tobar Angela Díaz Cadena Henry CruzThis book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:Artificial IntelligenceComputational ModelingData CommunicationsDefense EngineeringInnovation, Technology, and SocietyManaging Technology & Sustained Innovation, and Business DevelopmentModern Vehicle TechnologySecurity and CryptographySoftware Engineering
Artificial Intelligence, Cybersecurity and Cyber Defence
by Daniel VentreThe aim of the book is to analyse and understand the impacts of artificial intelligence in the fields of national security and defense; to identify the political, geopolitical, strategic issues of AI; to analyse its place in conflicts and cyberconflicts, and more generally in the various forms of violence; to explain the appropriation of artificial intelligence by military organizations, but also law enforcement agencies and the police; to discuss the questions that the development of artificial intelligence and its use raise in armies, police, intelligence agencies, at the tactical, operational and strategic levels.
Artificial Intelligence, Data Science and Applications: ICAISE’2023, Volume 1 (Lecture Notes in Networks and Systems #837)
by Amir Hussain Anshul Verma Yousef Farhaoui Tanzila Saba Hamed TaherdoostThis book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
Artificial Intelligence, Data Science and Applications: ICAISE’2023, Volume 2 (Lecture Notes in Networks and Systems #838)
by Amir Hussain Anshul Verma Yousef Farhaoui Tanzila Saba Hamed TaherdoostThis book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
Artificial Intelligence, Design Law and Fashion (Routledge Research in Fashion Law)
by Hasan Kadir YılmaztekinArtificial intelligence (AI) now infiltrates our culture. After a couple of difficult winters, AI today is a word on everybody’s lips, and it attracts everyone’s attention regardless of whether they are experts or not. From Apple’s Siri to Amazon’s Alexa, Tesla’s auto-driving cars to facial recognition systems in CCTV cameras, Netflix’s film offering services to Google’s search engine, we live in a world of AI goods. The advent of AI-powered technologies increasingly affects people’s lives across the globe. As a tool for productivity and cost-efficiency, AI also shapes our economy and welfare. AI-generated designs and works are becoming more popular. Today, AI technologies can generate several intellectual creations. Fashion is one of the industries that AI can profoundly impact. AI tools and devices are currently being used in the fashion industry to create fashion models, fabric and jewellery designs, and clothing. When we talk about AI-generated designs, we instead focus on the fruits of innovation – more best-selling apparels, more fashionable designs and more fulfilment of customer expectations – without paying heed to who the designer is. Designers invest a lot of talent, time and finances into designing and creating each article of clothing and accessory before they release their work to the public. Pattern drafting is the first and most important step in dressmaking. Designers typically start with a general sketch on paper; add styles, elements and colours; revise and refine everything; and finally deliver their design to dressmakers. AI accelerates this time-consuming and labour-intensive process. Yet the full legal consequences of AI in fashion industry are often forgotten. An AI device’s ability to generate fashion designs raises the question of who will own intellectual property rights over the fashion designs. Will it be the fashion designer who hires or contracts with the AI programmer? Will it be the programmer? Will it be the AI itself? Or will it be a joint work of humans and computers? And who will be liable for infringement deriving from use of third-party material in AI-generated fashion designs? This book explores answers to these questions within the framework of EU design and copyright laws. It also crafts a solution proposal based on a three-step test and model norms, which could be used to unleash the authors, rights holders and infringers around AI-generated fashion designs.