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Machines Who Think

Machines Who Think
Author: Pamela McCorduck
Publisher: CRC Press
Total Pages: 313
Release: 2004-03-17
Genre: Computers
ISBN: 1040083102

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This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.


Prospects for Artificial Intelligence

Prospects for Artificial Intelligence
Author: Aaron Sloman
Publisher: IOS Press
Total Pages: 304
Release: 1993-02-28
Genre: Computers
ISBN: 9789051991260

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Dealing with the theme of prospects for artificial inteligence as the general science of intelligence, this work covers a wide range of topics. It attempts to identify trends and projects into the future, instead of simply surveying past achievements.


AI - Limits and Prospects of Artificial Intelligence

AI - Limits and Prospects of Artificial Intelligence
Author: Peter Klimczak
Publisher: transcript Verlag
Total Pages: 291
Release: 2023-08-31
Genre: Social Science
ISBN: 3839457327

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The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence.


Preparing for the Future of Artificial Intelligence

Preparing for the Future of Artificial Intelligence
Author: Committee on Technology National Science and Technology Council, Committee on Technology
Publisher: Createspace Independent Publishing Platform
Total Pages: 58
Release: 2016-10-30
Genre:
ISBN: 9781540396518

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Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.


The Work of the Future

The Work of the Future
Author: David H. Autor
Publisher: MIT Press
Total Pages: 189
Release: 2022-06-21
Genre: Business & Economics
ISBN: 0262367742

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Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.


Human-Centered AI

Human-Centered AI
Author: Ben Shneiderman
Publisher: Oxford University Press
Total Pages: 390
Release: 2022
Genre: Computers
ISBN: 0192845292

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The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.


Decision Intelligence Analytics and the Implementation of Strategic Business Management

Decision Intelligence Analytics and the Implementation of Strategic Business Management
Author: P. Mary Jeyanthi
Publisher: Springer Nature
Total Pages: 236
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 3030827631

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This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.


Machines Who Think

Machines Who Think
Author: Pamela McCorduck
Publisher: CRC Press
Total Pages: 599
Release: 2004-03-17
Genre: Computers
ISBN: 1000065294

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This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.


The AI-Powered Enterprise

The AI-Powered Enterprise
Author: Seth Earley
Publisher: LifeTree Media
Total Pages: 203
Release: 2020-04-28
Genre: Business & Economics
ISBN: 1928055524

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Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.