Redesigning Ai
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Redesigning Ai
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Author : Daron Acemoglu
language : en
Publisher: MIT Press
Release Date : 2021-05-25
Redesigning Ai written by Daron Acemoglu and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-25 with Computers categories.
A look at how new technologies can be put to use in the creation of a more just society. Artificial Intelligence (AI) is not likely to make humans redundant. Nor will it create superintelligence anytime soon. But it will make huge advances in the next two decades, revolutionize medicine, entertainment, and transport, transform jobs and markets, and vastly increase the amount of information that governments and companies have about individuals. AI for Good leads off with economist and best-selling author Daron Acemoglu, who argues that there are reasons to be concerned about these developments. AI research today pays too much attention to the technological hurtles ahead without enough attention to its disruptive effects on the fabric of society: displacing workers while failing to create new opportunities for them and threatening to undermine democratic governance itself. But the direction of AI development is not preordained. Acemoglu argues for its potential to create shared prosperity and bolster democratic freedoms. But directing it to that task will take great effort: It will require new funding and regulation, new norms and priorities for developers themselves, and regulations over new technologies and their applications. At the intersection of technology and economic justice, this book will bring together experts--economists, legal scholars, policy makers, and developers--to debate these challenges and consider what steps tech companies can do take to ensure the advancement of AI does not further diminish economic prospects of the most vulnerable groups of population.
Designing Autonomous Ai
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Author : Kence Anderson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-14
Designing Autonomous Ai written by Kence Anderson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Designing Agentive Technology
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Author : Christopher Noessel
language : en
Publisher: Rosenfeld Media
Release Date : 2017-05-01
Designing Agentive Technology written by Christopher Noessel and has been published by Rosenfeld Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-01 with Computers categories.
Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.
Designing And Building Ai Products And Services
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-05
Designing And Building Ai Products And Services written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Computers categories.
In an era defined by technological innovation, artificial intelligence (AI) has emerged as a transformative force shaping industries across the globe. "Designing and Building AI Products and Services" is an authoritative guide that navigates readers through the intricate process of creating AI-powered solutions, empowering them to craft products and services that are not only cutting-edge but also deeply impactful. About the Book: This comprehensive volume, penned by seasoned experts in AI and product design, provides a roadmap for conceiving, developing, and launching AI-infused products and services. From ideation to execution, "Designing and Building AI Products and Services" delivers a step-by-step framework that demystifies the complexities of AI integration, enabling readers to harness its potential with confidence. Key Features: Foundations of AI Integration: The book commences by establishing a strong foundation in AI fundamentals. Readers will grasp the core concepts, terminologies, and methodologies crucial for successfully integrating AI into products and services. Human-Centric Design: Emphasizing user-centricity, the book explores design thinking and user experience principles tailored for AI solutions. Readers will learn how to create intuitive, seamless experiences that resonate with end-users. From Concept to Prototype: Guiding readers through the iterative design process, the book details how to transform initial concepts into tangible prototypes, refining ideas and validating assumptions along the way. AI Techniques and Algorithms: Readers are introduced to an array of AI techniques, from machine learning and natural language processing to computer vision and recommendation systems. The book elucidates when and how to apply these techniques effectively. Data Collection and Ethics: Addressing a critical aspect of AI development, the book delves into responsible data collection, privacy considerations, and ethical concerns that must be integrated into the product design process. Scalability and Deployment: The book covers strategies for scaling AI solutions and navigating challenges associated with deployment. Readers will learn how to manage infrastructure, ensure performance, and adapt to evolving user needs. Case Studies and Real-World Examples: Featuring real-world case studies, readers gain insights into successful AI product launches across diverse industries, illuminating best practices and lessons learned. Who Should Read This Book: "Designing and Building AI Products and Services" caters to a wide audience, including product managers, designers, developers, business leaders, and entrepreneurs seeking to capitalize on the AI revolution. Whether you're a novice eager to explore AI's potential or an industry veteran looking to integrate AI into existing offerings, this book equips you with the knowledge and strategies needed to navigate the evolving landscape of AI product design. About the Authors: The authors of "Designing and Building AI Products and Services" are distinguished thought leaders in AI and product design, bringing a wealth of expertise to the table. With a proven track record of AI innovation, research, and successful product launches, they share their insights and experiences to empower readers to create AI-powered solutions that resonate in the market.
Designing Ai Companions
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Author : Cansu Hizli
language : en
Publisher: iUniverse
Release Date : 2023-04-17
Designing Ai Companions written by Cansu Hizli and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Computers categories.
Designing AI companions can be a daunting task. In this comprehensive guide, you will find everything you need to know about designing AI companions. From understanding your user’s needs to designing engaging personalities and delightful interactions. The book highlights the research and user testing outcomes as best practices for reducing the complexity of technology and creating trustful connections between human and artificial intelligence. It will help and guide everyone, who is interested in designing new experiences, products, or services with artificial intelligence to design companions that are both personable and helpful by understanding the expressions of emotions and empathy with psychological, cognitive, and social theories.
Aix
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Author : Sudha Jamthe
language : en
Publisher:
Release Date : 2020-02-24
Aix written by Sudha Jamthe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with categories.
AIX is the primer to design Artificial Intelligence (AI) for Product Managers and Business owners. This book offers a unique glimpse into the gap between the technical algorithms and the high level business considerations to teach you to design and build products, and extend markets, using data and AI. You will learn: Foundation of AI Algorithms and Data that powers the AI; How to apply enterprise data with your business acumen to train AI models to solve customer problems; How to design product and customer experiences with Voice, Computer Vision, Machine Learning (MLUX) and Augmented Reality (AR); How to humanize and genderize AI for consumers to work with ML; How to harness the data sources in your company to train AI models to create business models that work for your industry; Learn AI ethics to create products that respect privacy and earn users' trust; Learn about AI job roles AI Product Manager, AI Designers and AI Business Owners and how to pivot your career to AI today. Technology Futurist Sudha Jamthe brings her insights and in-depth analysis of 3 industry areas that are changing our futures: 1. Digital Mobility, 2. Digital Health, 3. Sustainability AI across industries. This book brings case studies from industry practitioners with clear in-depth lessons to make AI work in your company. Welcome to AIX!!!
Designing Autonomous Ai
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Author : Kence Anderson
language : en
Publisher: O'Reilly Media
Release Date : 2022-07-19
Designing Autonomous Ai written by Kence Anderson and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Designing Ai Companions Designing Ai Companions
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Author : Cansu Hizli
language : en
Publisher:
Release Date : 2023-04-17
Designing Ai Companions Designing Ai Companions written by Cansu Hizli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Computers categories.
Designing AI companions can be a daunting task. In this comprehensive guide, you will find everything you need to know about designing AI companions. From understanding your user's needs to designing engaging personalities and delightful interactions. The book highlights the research and user testing outcomes as best practices for reducing the complexity of technology and creating trustful connections between human and artificial intelligence. It will help and guide everyone, who is interested in designing new experiences, products, or services with artificial intelligence to design companions that are both personable and helpful by understanding the expressions of emotions and empathy with psychological, cognitive, and social theories.
Ai For Creativity
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Author : Niklas Hageback
language : en
Publisher: CRC Press
Release Date : 2021-09-24
Ai For Creativity written by Niklas Hageback and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.
What is computational creativity? Can AI learn to be creative? One of the human mind’s most valuable features is the capacity to formulate creative thoughts, an ability that through quantum leap innovations has propelled us to the current digital age. However, creative breakthroughs are easier said than done. Appearing less frequently and more sporadically than desired, it seems that we have not yet fully cracked the creative code. But with the rapid advances in artificial intelligence which have come to provide an ever-closer proximity with the cognitive faculties of mankind, can this emerging technology improve our creative capabilities? What will that look like and will it be the missing link in the man–machine enigma? AI for Creativity provides a fascinating look at what is currently emerging in the very cutting-edge area of artificial intelligence and the tools being developed to enable computational creativity that holds the propensity to dramatically change our lives.
Awkward Intelligence
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Author : Katharina A. Zweig
language : en
Publisher: MIT Press
Release Date : 2022-10-25
Awkward Intelligence written by Katharina A. Zweig and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-25 with Computers categories.
An expert offers a guide to where we should use artificial intelligence—and where we should not. Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot—but it’s bad at making judgments about people. AI is accurate at sifting through billions of websites to offer up the best results for our search queries and it has beaten reigning champions in games of chess and Go. But, drawing on her own research, Zweig shows how inaccurate AI is, for example, at predicting whether someone with a previous conviction will become a repeat offender. It’s no better than simple guesswork, and yet it’s used to determine people’s futures. Zweig introduces readers to the basics of AI and presents a toolkit for designing AI systems. She explains algorithms, big data, and computer intelligence, and how they relate to one another. Finally, she explores the ethics of AI and how we can shape the process. With Awkward Intelligence. Zweig equips us to confront the biggest question concerning AI: where we should use it—and where we should not.