Library: ChatGPT & Generative A.I.: Find Books

Keywords

Here are some keywords to use in your searches. Remember to use terms that will narrow your search!

AI chips
AI ethics
AI systems
Adversarial machine learning
Alfred Whitehead
Alan Turing
Alignment
Algorithm
ALICE (or artificial linguistic internet computer entity)
Alphabet
Amazon
AMD
Apple
Application programming interface (API)
Artificial intelligence / artificial intelligence, situated approach / AI / A.I.
Artificial neural network
Augmented intelligence
Autonomous
Bertrand Russell
Bias
Big data
Chatbot aka Bots / Chatterbots
ChatGPT
ChatGPT detectors
Chris Malachowsky
Classification
Cluster
Cognitive computing
Cognitive science
Cognitive work
Colette Kress
Compute
Computer vision (or image recognition)
Content creators
Conversational AI
Crawl accessibility
Curtis Priem
Data mining
Deep Learning
Deep neural networks (DNNs)
Dell
Digital Equipment Corporation (DEC)
Doctor Sbaitso
Educational misuse
ELIZA (early natural language processing computer program)
Emergent behavior
Ethics
Game theory
General-Purpose Chips
Generative AI / Generative Artificial Intelligence (GAI)
Generative Adversarial network (GAN)
George Boole
Google
Guardrails
Hallucination
Hyperparameter
IBM
Intel
Image generation
Image recognition (or computer vision)
Incompleteness theorem
Indexing
Instant messaging (IM)
Jensen Huang
John McCarthy
Joseph Weizenbaum
Kurt Gödel
Language model
Large language model
Limited memory
Logical expressions
Machine Learning
Marvin Minsky
Massachusetts Institute of Technology (MIT)
Microsoft
Model
Music Generation
Natural Language Processing (NLP)
Nvidia
Neural networks
OpenAI
Overfitting
Pattern matching
Pattern recognition
Phrase predictions/suggestions
Plagiarize/plagiarism
Predictive analytics
Prescriptive analytics
Prolog
Prompt
Qualcomm
Quantum computing
Reinforcement learning
Robotics
Search engines
Search engine optimization (SEO)
Semantic analysis
Sentiment analysis
Seymour Papert
Siri
Smartphones
Speech recognition
Structured data
Supervised learning
Technology
Tesla
Text generation
Token
Training data
Transfer learning
Turing test
Unsupervised data
Unsupervised learning
Voice recognition
Web developers

Print Books

Algorithms of Oppression: How Search Engines Reinforce Racism
In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem. Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, especially women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.
Artificial Intelligence: A Guide for Thinking Humans
No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promises and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent are the best AI programs? How do they work? What can they do, and when do they fail? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us? She also introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements.
Artificial Intelligence: Evolution, Ethics and Public Policy
This book traces the evolution of AI in contemporary history. It analyses how AI is primarily driven by 'capital' as the only 'factor of production' and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights.
Dictionary of Cognitive Science: Neuroscience, Psychology, Artificial Intelligence, Linguistics, and Philosophy
A translation of the renowned French reference book, Vocabulaire de sciences cognitives, the Dictionary of Cognitive Science presents comprehensive definitions in more than 120 subjects.
A Human's Guide to Machine Intelligence: How Algorithms are shaping our lives and how we can stay in control
Through the technology embedded in almost every central tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy to where we decide to eat to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making. He reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators- like you and me.
Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, honest, and legal values. Throughout the book, the author discusses related work, conscious of both classical and philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines frequent references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students in both technical and non-technical courses and for interested and concerned researchers, practitioners, and citizens.
Unmasking AI: My Mission to Protect What is Human in a World of Machines
Dr. Joy Buolamwini is the self-described "Poet of Code" who has had a lifelong passion for computer science, engineering, and art-disciplines that, she felt, pushed the boundaries of reality. After tinkering with robotics as a high school student in Tennessee, to developing mobile apps in Zambia as a Fulbright fellow, Buolamwini eventually found herself at MIT. As a graduate student at the "Future Factory," Buolamwini's groundbreaking research revealed that AI systems-from leading tech companies-were consistently failing on non-male, non-white bodies. In Unmasking AI, Buolamwini goes beyond the news headlines about racism, colorism, and sexism in Big Tech to tell the remarkable story of how she uncovered what she calls "the coded gaze"-evidence of racial and gender bias in tech-and galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both tech industry and research sector, Buolamwini shows how race, gender, and ability bias can overlap and render broad swaths of humanity vulnerable in our AI-dependent world. Computers, she reminds us, are reflections of both the aspirations and the limitations of the people who create them.

E-Books, Dictionaries, & Encyclopedias

Algorithms of Oppression: How Search Engines Reinforce Racism
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms. Run a Google search for “black girls”—what will you find? “Big Booty” and other sexually explicit terms will likely become top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting specific sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a limited set of search algorithms that privilege whiteness and discriminate against people of color, specific women of color. Through an analysis of textual and media searches and extensive research on paid online advertising, Noble exposes a culture of racism and sexism in how discoverability is created online. As search engines and their related companies grow in importance—operating as a source for email, a major vehicle for primary and secondary school learning, and beyond—understanding and reversing these disquieting trends and discriminatory practices is paramount. An original, surprising, and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.
The Applied Artificial Intelligence Workshop: Start Working with AI Today, to Build Games, Design Decision Trees, and Train Your Own Machine Learning Models
With knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python through practical exercises and engaging activities FeaturesLearn about AI and ML algorithms from the perspective of a seasoned data scientist. Get practical experience in ML algorithms, such as regression, tree algorithms, clustering, and design neural networks that emulate the human brain book. You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use daily. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and valuable examples; all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You'll then learn to classify data using k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. You'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs) through various activities, such as predicting stock prices and recognizing handwritten digits.
Artificial Intelligence Basics : A Self-Teaching Introduction
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive, with numerous modern applications. Features: Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics. Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI.
Artificial Whiteness: Politics and Ideology in Artificial Intelligence
Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do pictures of AI's transformative potential reappear in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by more extensive data and better computing. Drawing on intimate familiarity with the field and its practices, Katz asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.
Concise Encyclopedia of Robotics
This handy collection of straightforward, to-the-point definitions is precisely what robotics and artificial intelligence hobbyists need to get and stay up to speed with all new terms that have recently emerged in robotics and artificial intelligence.
Convergence: Artificial Intelligence and Quantum Computing: Social, Economic, and Policy Impacts
Prepare for the coming Convergence of AI and quantum computing. A collection of essays from 20 renowned international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing, explains the impending Convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this future watershed event. In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become a reality, with enormous implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award-winning author David Brin, you'll also find Explorations of the increasing pace of technological development, Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner, Maps to navigate the potential minefields that await us as AI and quantum computing come together. A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the worldConvergencece convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.
Morphing Intelligence: From IQ Measurement to Artificial Brains
What is intelligence? The concept crosses and blurs the boundaries between natural and artificial, bridging the human brain and the cybernetic world of AI. In this book, the acclaimed philosopher Catherine Malabou ventures a new approach emphasizing the intertwined, networked relationships among the biological, the technological, and the symbolic. Malabou traces the modern metamorphoses of intelligence, seeking to understand how neurobiological and neurotechnological advances have transformed our view. She considers three crucial developments: the notion of intelligence as an empirical, genetically based quality measurable by standardized tests; the shift to the epigenetic paradigm, with its emphasis on neural plasticity; and the dawn of artificial intelligence, with its potential to simulate, replicate, and ultimately surpass the workings of the brain. Malabou concludes that a dialogue between human and cybernetic intelligence offers the best, if not the only, means to build a democratic future. A strikingly original exploration of our changing notions of intelligence and the human and their far-reaching philosophical and political implications, Morphing Intelligence is a fundamental analysis of the porous border between symbolic and biological life at a time when once-clear distinctions between mind and machine have become uncertain.
Open Data Structures: An Introduction
Offered as an introduction to data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Focusing on a mathematically rigorous, fast, practical, and efficient approach, Morin clearly and briskly presents instructions and source code. Analyzed and implemented in Java, the data structures presented in the book include stacks, queues, deques, and lists implemented as arrays and linked lists; space-efficient implementations of lists; skip lists; hash tables and hash codes; binary search trees including traps, scapegoat trees, and red-black trees; integer searching structures including binary tries, x-fast tries, and y-fast tries; heaps, including implicit binary heaps and randomized meldable heaps; graphs, including adjacency matrix and adjacency list representations; and B-trees. A modern treatment of an essential computer science topic, Open Data Structures is a measured balance between standard issues and state-of-the-art structures that will serve the needs of all undergraduate students or self-directed learners.
Robot-Proof: Higher Education in the Age of Artificial Intelligence by Joseph E. Aoun
How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot.
Transformers for Natural Language Processing: Build, Train, and Fine-tune Deep Neural Network Architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4
OpenAI's GPT-3, ChatGPT, GPT-4, and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers, including computer vision tasks, code writing, and assistance. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Improve your productivity with OpenAI's ChatGPT and GPT-4, from prompt engineering to creating and analyzing machine learning models. Retrain a BERT-based model from scratch using Hugging FaceFine-tune powerful transformer models, including OpenAI's GPT-3, to understand the logic of your dataBook DescriptionTransformers are...well...transforming the world of AI. There are many platforms and models, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, guides you through the world of transformers, highlighting the strengths of different models and platforms while teaching you the problem-solving skills you need to tackle model weaknesses.