Machine Learning and Human Intelligence

2018
Machine Learning and Human Intelligence

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  • Author: Rosemary Luckin
  • Publisher: UCL Institute of Education Press (University College London Institute of Education Press)
  • ISBN: 9781782772514
  • Category : Artificial intelligence
  • Languages : en
  • Pages : 0

Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with qualities it does not have and, in so doing, risk losing the capacity for education to pass on the emotional, collaborative, sensory and self-effective aspects of human intelligence that define us. To address this, Rosemary Luckin--leading expert in the application of AI in education - proposes a framework for understanding the complexity of human intelligence. She identifies the comparative limitation of AI when analyzed using the same framework, and offers clear-sighted recommendations for how educators can draw on what AI does best to nurture and expand our human capabilities.

AI and Developing Human Intelligence

2021-09-16
AI and Developing Human Intelligence

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  • Author: John Senior
  • Publisher: Routledge
  • ISBN: 1000449653
  • Category : Education
  • Languages : en
  • Pages : 223

As the relationship between AI machines and humans develops, we ask what it will mean to be an intelligent learner in an emerging, socio-dynamic learningscape. The need for a new global view of intelligence and education is the core discussion of this future-focussed collection of ideas, questions, and activities for learners to explore. This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence. As well as exploring AI, HI, the future of learning and caring for all learners, this book addresses fundamental questions such as: How do we educate ourselves for an increasingly uncertain future? What is the purpose of intelligence? How can a curriculum focussing on human curiosity and creativity be created? Who are we and what are we becoming? What will we invent now that AI exists? AI and Developing Human Intelligence will interest you, inform you, and empower your understanding of "intelligence" and where we are going on the next part of our journey in understanding what it is to be human now and tomorrow.

Artificial Intelligence/ Human Intelligence: An Indissoluble Nexus

2021-03-02
Artificial Intelligence/ Human Intelligence: An Indissoluble Nexus

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  • Author: Richard J Wallace
  • Publisher: World Scientific
  • ISBN: 981123289X
  • Category : Computers
  • Languages : en
  • Pages : 368

This book presents a novel view of intelligence, and of the relationship between machine intelligence and human beings. From this perspective, machine intelligence is viewed as an artificial aid to human intelligence, and the two are seen to form a 'seamless web'.Having established this new perspective on intelligence, the book highlights some basic deficiencies of unaided human intelligence through case studies to show how human beings are capable of destroying existing intelligence networks as well as how they fail to recognize that such intelligence networks are needed. In many such cases, along with the other aspects of the problem, there is also a failure of discourse: bad arguments and the like dominate the discourse, and crucial aspects of the situation are overlooked or glossed over.The book then lays out a proposal on how to deal with this kind of problem — one that relies heavily on techniques developed in AI. This is done in the form of a new kind of grand challenge for AI, involving software monitors that are applied to discourse on major issues. All this is in keeping with the perspective on intelligence and AI presented in this book.

The Myth of Artificial Intelligence

2021-04-06
The Myth of Artificial Intelligence

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  • Author: Erik J. Larson
  • Publisher: Harvard University Press
  • ISBN: 0674259920
  • Category : Computers
  • Languages : en
  • Pages : 321

“Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books

On the “Human” in Human-Artificial Intelligence Interaction

2022-02-10
On the “Human” in Human-Artificial Intelligence Interaction

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  • Author: Stefano Triberti
  • Publisher: Frontiers Media SA
  • ISBN: 2889743225
  • Category : Science
  • Languages : en
  • Pages : 126

Machine Learning for Health Informatics

2016-12-09
Machine Learning for Health Informatics

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  • Author: Andreas Holzinger
  • Publisher: Springer
  • ISBN: 3319504789
  • Category : Computers
  • Languages : en
  • Pages : 481

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Artificial Intelligence and Machine Learning

2019-11-14
Artificial Intelligence and Machine Learning

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  • Author: Jeff MC Frockman
  • Publisher: Independently Published
  • ISBN: 9781708379582
  • Category :
  • Languages : en
  • Pages : 150

If you are interested in learning about artificial intelligence and machine learning or investing in these technological innovations, then ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: AI Superpowers and Human+Machine A Visionary Revolution in Finance, Medicine and Business. Find Out Top Influent People of the Era With A Modern Approach, is the book that you have been waiting for. Although artificial intelligence and machine learning algorithms have been here with us for long, the ability to apply big data and make mathematical calculations even faster is a recent phenomenon. This book enlightens you on how the two technological developments have been able to speed up the process of economic growth and career advancement. To that end, this book provides an in-depth overview of artificial intelligence and machine learning, highlighting their historical development and application in various fields including finance, business, and medicine. It covers how artificial intelligence interacts with human intelligence, including the possible partnerships between humans and machines and how each influences the other. People can utilize so much from artificial intelligence and machine learning to improve their lives and enhance their productivity. An interesting concept covered in this book is the AI superpowers across the world, and how they impact the development of AI today and possibly in the future. These include Amit Singhal of Uber, Andrew Ng of Baidu, Elon Musk of SpaceX, and Tesla, among others. Artificial intelligence and machine learning are important tools that can promote development through enhanced production in various fields, including finance, medicine, business, and air. This is why you will learn how to invest in artificial intelligence, the possible benefits, and risks associated with the technology. Inside this book, you will find: Understanding of the definition, goals, advantages, and relationship of artificial intelligence and machine learning An overview of the relationship between artificial intelligence and human intelligence An outline of the key technology behind the Human-Machine Interface An overview of AI superpowers and AI key players An understanding of the 10 most influential people and their contribution to AI development And many more...

Bridging Human Intelligence and Artificial Intelligence

2022-02-24
Bridging Human Intelligence and Artificial Intelligence

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  • Author: Mark V. Albert
  • Publisher: Springer Nature
  • ISBN: 3030847292
  • Category : Education
  • Languages : en
  • Pages : 364

This edited volume is based on contributions from the TCET-AECT “Human-Technology Frontier: Understanding the Learning of Now to Prepare for the Work of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and implementing advances technologies in learning and instruction, and focus on the emerging themes of artificial intelligence, human-computer interactions, and the resulting instructional design. The volume will be divided into four parts: (1) Trends and future in learning and learning technologies expected in the next 10 years; (2) Technologies likely to have a significant impact on learning in the next 10 years; (3) Challenges that will need to be addressed and resolved in order to achieve significant and sustained improvement in learning; and (4) Reflections and insights from the Symposium that should be pursued and that can form the basis for productive research collaborations. The primary audience for this volume is academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer interactions, information science, library science, and technology integration.

Advances in Artificial and Human Intelligence in the Modern Era

2023-09-11
Advances in Artificial and Human Intelligence in the Modern Era

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  • Author: Rajest, S. Suman
  • Publisher: IGI Global
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 433

In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.

Augmented Intelligence

2019-12-06
Augmented Intelligence

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  • Author: Judith Hurwitz
  • Publisher: CRC Press
  • ISBN: 0429591659
  • Category : Computers
  • Languages : en
  • Pages : 142

The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM