Demystifying Artificial Intelligence

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Demystifying Artificial intelligence

Author : Prashant Kikani
Publisher : BPB Publications
ISBN 13 : 9389898706
Total Pages : 170 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis Demystifying Artificial intelligence by : Prashant Kikani

Download or read book Demystifying Artificial intelligence written by Prashant Kikani and published by BPB Publications. This book was released on 2021-01-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Demystifying AI for the Enterprise

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1351032925
Total Pages : 465 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Demystifying AI for the Enterprise by : Prashant Natarajan

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Demystifying Big Data and Machine Learning for Healthcare

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1315389304
Total Pages : 233 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Demystifying Big Data and Machine Learning for Healthcare by : Prashant Natarajan

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017-02-15 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

The AI Ladder

Author : Rob Thomas
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073385
Total Pages : 238 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis The AI Ladder by : Rob Thomas

Download or read book The AI Ladder written by Rob Thomas and published by "O'Reilly Media, Inc.". This book was released on 2020-04-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows

Demystifying Artificial Intelligence

Author : Emmanuel Gillain
Publisher :
ISBN 13 : 9783111425672
Total Pages : 0 pages
Book Rating : 4.4/5 (256 download)

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Book Synopsis Demystifying Artificial Intelligence by : Emmanuel Gillain

Download or read book Demystifying Artificial Intelligence written by Emmanuel Gillain and published by . This book was released on 2024-08-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readable as a whole or by chapter, this book is intended for business practitioners that have a bachelor or master's degree outside of the field of computer science or AI but still want to go deeper in their understanding of the AI technologies, their applicability and limitations. Such reading can also be useful as a general introduction for students taking an MBA class, or similar. The reader will find in this book a solid overview of the different AI technologies supporting systems that search, plan, reason, learn, adapt, understand or interact. All these terms are demystified in the book. The book covers the two traditional paradigms in AI: on one side, data-driven AI systems, that learn and perform by ingesting millions of data points into machine learning algorithms, and on the other side the consciously modelled AI systems, known as "symbolic AI" systems, that explicitly use symbolic representations. Rather than opposing those two paradigms, the book also shows how those different fields can complement each other and can be combined for even richer applications. Chapters are all structured in a pragmatic way that answers common sense questions about the why, what, how and limitations. The theory is illustrated with 22 real-world examples from the industry, giving altogether a solid understanding of AI concepts, applicability, and limitations.

Machine Intelligence

Author : Suresh Samudrala
Publisher : Notion Press
ISBN 13 : 1684660831
Total Pages : 184 pages
Book Rating : 4.6/5 (846 download)

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Book Synopsis Machine Intelligence by : Suresh Samudrala

Download or read book Machine Intelligence written by Suresh Samudrala and published by Notion Press. This book was released on 2019-01-11 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and machine learning are considered as hot technologies of this century. As these technologies move from research labs to enterprise data centers, the need for skilled professionals is continuously on the rise. This book is intended for IT and business professionals looking to gain proficiency in these technologies but are turned off by the complex mathematical equations. This book is also useful for students in the area of artificial intelligence and machine learning to gain a conceptual understanding of the algorithms and get an industry perspective. This book is an ideal place to start your journey as • Core concepts of machine learning algorithms are explained in plain English using illustrations, data tables and examples • Intuitive meaning of the mathematics behind popular machine learning algorithms explained • Covers classical machine learning, neural networks and deep learning algorithms At a time when the IT industry is focusing on reskilling its vast human resources, Machine intelligence is a very timely publication. It has a simple approach that builds up from basics, which would help software engineers and students looking to learn about the field as well as those who might have started off without the benefit of a structured introduction or sound basics. Highly recommended. - Siddhartha S, Founder and CEO of Intain - Financial technology startup Suresh has written a very accessible book for practitioners. The book has depth yet avoids excessive mathematics. The coverage of the subject is very good and has most of the concepts required for understanding machine learning if someone is looking for depth. For senior management, it will provide a good overview. It is well written. I highly recommend it. - Whee Teck ONG, CEO of Trusted Source and VP of Singapore Computer Society

Demystifying Smart Cities

Author : Anders Lisdorf
Publisher : Apress
ISBN 13 : 1484253779
Total Pages : 237 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Demystifying Smart Cities by : Anders Lisdorf

Download or read book Demystifying Smart Cities written by Anders Lisdorf and published by Apress. This book was released on 2019-12-09 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of Smart Cities is accurately regarded as a potentially transformative power all over the world. Bustling metropolises infused with the right combination of the Internet of Things, artificial intelligence, big data, and blockchain promise to improve both our daily lives and larger structural operations at a city government level. The practical realities pose challenges that a significant sector of the tech industry now revolves around solving. Cut through the hype with Demystifying Smart Cities. In this book, the real-world implementations of successful Smart City technology in places like New York, Amsterdam, Copenhagen, and more are analyzed, and insights are gained from recorded attempts in similar urban centers that have not reached their full Smart City potential. From the logistical complications of securing thousands of devices to collect millions of pieces of data daily, to the complicated governmental processes that are required to install Smart City tech, Demystifying Smart Cities covers every aspect of this revolutionary modern technology. This book is the essential guide for anybody who touches a step of the Smart City process—from salespeople representing product vendors to city government officials to data scientists—and provides a more well-rounded understanding of the full positive and negative impacts of Smart City technology deployment. Demystifying Smart Cities evaluates how our cities can behave in a more intelligent way, and how producing novel solutions can pose equally novel challenges. The future of the metropolis is here, and the expert knowledge in the book is your greatest asset. What You'll LearnPractical issues and challenges of managing thousands and millions of IoT devices in a city The different types of city data and how to manage and secure it The possibilities of utilizing AI into a city (and how it differs from working with the private sector) Examples of how to make cities smarter with technology Who This Book Is For Primarily for those already familiar with the hype of smart city technologies but not the details of its implementation, along with technologists interested in learning how city government works when integrating technology. Also, people working for smart city vendors, especially sales people and product managers who need to understand their target market.

Handbook of Machine Learning for Computational Optimization

Author : Vishal Jain
Publisher : CRC Press
ISBN 13 : 100045567X
Total Pages : 295 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Machine Learning for Computational Optimization by : Vishal Jain

Download or read book Handbook of Machine Learning for Computational Optimization written by Vishal Jain and published by CRC Press. This book was released on 2021-11-02 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

Demystifying Artificial Intelligence

Author : Prashant Kikani
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Demystifying Artificial Intelligence by : Prashant Kikani

Download or read book Demystifying Artificial Intelligence written by Prashant Kikani and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. --

Artificial Intelligence and Its Contexts

Author : Anna Visvizi
Publisher : Springer Nature
ISBN 13 : 3030889726
Total Pages : 234 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Its Contexts by : Anna Visvizi

Download or read book Artificial Intelligence and Its Contexts written by Anna Visvizi and published by Springer Nature. This book was released on 2021-11-27 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive approach to the question of how artificial intelligence (AI) impacts politics, economy, and the society today. In this view, it is quintessential for understanding the complex nature of AI and its role in today’s world. The book has been divided into three parts. Part one is devoted to the question of how AI will be used for security and defense purposes, including combat in war zones. Part two looks at the value added of AI and machine learning for decision-making in the fields of politics and business. Part three consists of case studies—covering the EU, the USA, Saudi Arabia, Portugal, and Poland—that discuss how AI is being used in the realms of politics, security and defense. The discussion in the book opens with the question of the nature of AI, as well as of ethics and the use of AI in combat. Subsequently, the argument covers issues as diverse as the militarization of AI, the use of AI in strategic studies and military strategy design. These topics are followed by an insight into AI and strategic communication (StratCom), including disinformation, as well as into AI and finance. The case-studies included in part 3 of the book offer a captivating overview of how AI is being employed to stimulate growth and development, to promote data- and evidence-driven policy-making, to enable efficient and inclusive digital transformation and other related issues. Written by academics and practitioners in an academically sound, yet approachable manner, this volume queries issues and topics that form the thrust of processes that transform world politics, economics and society. As such, this volume will serve as the primer for students, researchers, lectures and other professionals who seek to understand and engage with the variety of issues AI implicates.

AI FOR ABSOLUTE BEGINNERS

Author : Oliver Theobald
Publisher : Packt Publishing Ltd
ISBN 13 : 1835886531
Total Pages : 188 pages
Book Rating : 4.8/5 (358 download)

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Book Synopsis AI FOR ABSOLUTE BEGINNERS by : Oliver Theobald

Download or read book AI FOR ABSOLUTE BEGINNERS written by Oliver Theobald and published by Packt Publishing Ltd. This book was released on 2024 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Machine Learning in Business Management

Author : Sandeep Kumar Panda
Publisher : CRC Press
ISBN 13 : 1000432114
Total Pages : 278 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Business Management by : Sandeep Kumar Panda

Download or read book Artificial Intelligence and Machine Learning in Business Management written by Sandeep Kumar Panda and published by CRC Press. This book was released on 2021-11-05 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

Reimagining Businesses with AI

Author : Khaled Al Huraimel
Publisher : John Wiley & Sons
ISBN 13 : 1119709164
Total Pages : 288 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Reimagining Businesses with AI by : Khaled Al Huraimel

Download or read book Reimagining Businesses with AI written by Khaled Al Huraimel and published by John Wiley & Sons. This book was released on 2020-09-22 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover what AI can do for your business with this approachable and comprehensive resource Reimagining Businesses with AI acquaints readers with both the business challenges and opportunities presented by the rapid growth and progress of artificial intelligence. The accomplished authors and digital executives of the book provide you with a multi-industry approach to understanding the intersection of AI and business. The book walks you through the process of recognizing and capitalizing on AI’s potential for your own business. The authors describe: How to build a technological foundation that allows for the rapid implementation of artificial intelligence How to manage the disruptive nature of powerful technology while simultaneously harnessing its capabilities The ethical implications and security and privacy concerns raised by the spread of AI Perfect for business executives and managers who seek a jargon-free and approachable manual on how to implement artificial intelligence in everyday operations, Reimagining Businesses with AI also belongs on the bookshelves of anyone curious about the interaction between artificial intelligence and business.

Python Deep Learning Projects

Author : Matthew Lamons
Publisher : Packt Publishing Ltd
ISBN 13 : 1789134757
Total Pages : 465 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Python Deep Learning Projects by : Matthew Lamons

Download or read book Python Deep Learning Projects written by Matthew Lamons and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Insightful projects to master deep learning and neural network architectures using Python and Keras Key FeaturesExplore deep learning across computer vision, natural language processing (NLP), and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook Description Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way What you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is for Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming

Demystifying Artificial Intelligence

Author : Williams Gregory
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Demystifying Artificial Intelligence by : Williams Gregory

Download or read book Demystifying Artificial Intelligence written by Williams Gregory and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Dive into the world of Artificial Intelligence without the technobabble, and open the door to personal and professional growth in one read! Are you fascinated by the concept of Artificial Intelligence, but feel overwhelmed by the complex terminology? Have you ever wondered how you can leverage AI knowledge for your personal and professional growth? Do you wish to understand AI and its core principles, cutting through the layers of technical jargon? If so, you're not alone. Today's technology-driven world is rapidly embracing AI but understanding it often feels like deciphering an alien language. But here's the secret - you can decipher this language. And it's not as hard as you think. Even if you don't have a technical background. Even if you've tried other complex resources with no success. Even if you think it's way beyond your grasp." --

Applied Artificial Intelligence: Where AI Can Be Used In Business

Author : Francesco Corea
Publisher : Springer
ISBN 13 : 331977252X
Total Pages : 41 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applied Artificial Intelligence: Where AI Can Be Used In Business by : Francesco Corea

Download or read book Applied Artificial Intelligence: Where AI Can Be Used In Business written by Francesco Corea and published by Springer. This book was released on 2018-03-09 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues). The structure of the chapter is very similar, so I hope the reader won’t find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.

Demystifying the Dark Side of AI in Business

Author : Dadwal, Sumesh
Publisher : IGI Global
ISBN 13 :
Total Pages : 291 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Demystifying the Dark Side of AI in Business by : Dadwal, Sumesh

Download or read book Demystifying the Dark Side of AI in Business written by Dadwal, Sumesh and published by IGI Global. This book was released on 2024-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.