Artificial Intelligence, Design Law and Fashion


Book Description

Artificial 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.




Design Law


Book Description

This book provides a comprehensive assessment of the current legal landscape of global design law. It includes practice-based and analytical accounts of national design laws from several representative jurisdictions and delves into the practical and theoretical dimensions of some of the most urgent procedural issues facing this legal field.







Law, Human Creativity and Generative Artificial Intelligence


Book Description

This book addresses the complex issue of human creativity in the age of Artificial Intelligence. Artificial intelligence (AI) is increasingly being used to create texts, images, and musical compositions. This increase in the application of AI within the creative industries can of course enhance human performance while producing creative and commercial challenges for human authors. Against this background, this book considers how current mechanisms for incentivising creativity – including legal regulations, such as copyright, state funding and tax regimes – are inadequate in the age of AI. Acknowledging the opportunity that AI presents, the book then proposes alternative regulatory mechanisms through which human creativity can be incentivised. This book will appeal to scholars and researchers in the areas of socio-legal studies, intellectual property law, media law, and law and technology.




Artificial Intelligence for Fashion


Book Description

Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing. Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses. What You’ll Learn Gain a basic understanding of AI and how it is used in fashion Understand key terminology and concepts in AI Review the new competitive landscape of the fashion industry Conceptualize and develop new ways to apply AI within the workplaceWho This Book Is For Fashion industry professionals from designers, managers, department heads, and executives can use this book to learn about how AI is impacting roles in every department and profession.




Artificial Intelligence and Social Computing


Book Description

Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.




The Elgar Companion to Intellectual Property and the Sustainable Development Goals


Book Description

Complex geopolitical debate surrounds the role of intellectual property (IP) in advancing and achieving the UN’s Sustainable Development Goals (SDGs). Summarising and advancing this discourse, this prescient Companion is a thorough examination of how IP law interacts, influences and impacts each of the seventeen SDGs.




Transfer, Diffusion and Adoption of Next-Generation Digital Technologies


Book Description

This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.




Fashion Management


Book Description

Success in the fashion industry is not solely based on creativity and innovation; thought-out strategy and an astute application of management concepts are just as essential. The second edition of Fashion Management: A Strategic Approach is the ideal companion for students determined to understand the strategic frameworks vital to achieving success in the highly competitive world of fashion. With its international approach and features, including abstracts from key Bloomsbury Fashion Business Cases in each chapter, this is the go-to guide for students getting to grips with the issues facing fashion organisations today. Covering prominent brands such as Prada, Glossier, Nike and ASOS, as well as SMEs like Elvis and Kresse, this text not only prepares readers for academic success, but also for the diversity of the real-world fashion industry. The second edition of Fashion Management includes: · A new chapter on 'Managing Routes to Fashion Markets', reflecting the growing precedence of digitalisation and omnichannel retailing in the contemporary fashion industry. · A new chapter on 'Fashion Law', highlighting the importance of recognising and responding to legal issues such as intellectual property law, data protection, consumer law and influencer culture. · Substantial new material on ethics, sustainability and Corporate Social Responsibility (CSR), an understanding of which is vital as calls for transparency in the fashion industry continue to grow. · Additional and updated case studies covering a range of fashion companies from all over the world, including India, Australia, France, the UK, and many more. This is an ideal textbook for those studying on undergraduate and postgraduate degree courses in fashion management and fashion marketing. The book is also an important supplementary resource for courses in marketing, retailing and business studies.




Artificial Intelligence Hardware Design


Book Description

ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech’s Neurocube and Stanford’s Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.