Do you feel overwhelmed by the AI wave? Worried that it could cost you your job, harm your business, or even take over? AI has pervaded our lives and is aggressively disrupting business. No person today can afford to ignore AI.

Age of Agency is your companion, helping you leverage AI's capabilities to power your productivity and success. By understanding AI, you will learn to use it as a tool for personal career growth and business success.

Former Microsoft executive Kerushan Govender demystifies AI, emphasising the importance of human agency. Reconnect with the needs of humanity and learn the importance of care as a differentiator in an AI world. Avoid the potential pitfalls of excessive reliance on the technology.

Age of Agency is a blueprint for ensuring human agency outpaces computer agency. It boldly pits the limits of machine learning against the infinity of human ability. With this survival guide, you’ll uncover ways to connect with humanity on a deeper level, going beyond anything AI can do.

Ready to become AI-savvy, with your humanity as your differentiator? Dive into the future with the confidence to ride the wave of today’s AI revolution.

The problem of our age is that we have too much information and too little time to discern the true from the false, the important from the trivial, and the useful from the harmful. As such, the digital age, which once promised a revolution of knowledge and understanding, has left us more confused than ever.

The Art of Mental Autonomy is the antidote, designed to equip readers with the means to find truth amid the cacophony. Written by Gurwinder Bhogal - a computer scientist who brings unassailable logic to the question of what's gone wrong with the way we think - it functions as a 'software update' for the brain, explaining one concept per day that helps to identify our blind-spots and open our minds.

Covering concepts from 'attention economy' to 'babble hypothesis', this book will help us to make more informed decisions and avoid the digital pitfalls of misinformation, polarisation, and social contagion - and to meet the unprecedented challenges of the modern age.

Knowing how to use Facebook to network and market yourself or your business gives a single person unlimited potential for reaching over 1 billion users in 60 countries. This tool will show you how to manage the marketing on your personal profile and business pages. Authored by an expert and consultant in cutting edge marketing strategies, this well-rounded guide will immediately change the way you use Facebook and the way you market your business. 6-page laminated guide includes: Profile vs. Page Your Personal Facebook Profile Networking How Facebook Can Benefit Businesses & Brands Your Business's Facebook Page Facebook Advertising Options Creating Calls to Action on Your Page How to Manage a Page with Multiple Admins How to Schedule Posts Facebook Apps Contests & Promotions Incorporate Facebook into Your Overall Marketing Strategy Helpful Resources within Facebook

In Online Predators, An Internet Insurgency: A Field Manual for Teaching and Parenting in the Digital Arena Jeffrey A. Lee brings his ten plus years' experience in the fight against online child exploitation to bear in an easy to follow guide for all with a stake in the life of a child. This book equips parents, guardians, extended family, and educational professionals with practical strategies to help keep kids safe in a technology connected world. Instead of focusing on ever changing technology, Lee proposes a key fundamental change in the fight against online predation-to develop an insatiable curiosity about their child's online life, then get in the front lines and stay there.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called "artificial intelligence." They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they-and we-succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture-and finds a story by turns harrowing and hopeful.

Cell phone apps share location information; software companies store user data in the cloud; biometric scanners read fingerprints; employees of some businesses have microchips implanted in their hands. In each of these instances we trade a share of privacy or an aspect of identity for greater convenience or improved security. What Robert M. Pallitto asks in Bargaining with the Machine is whether we are truly making such bargains freely - whether, in fact, such a transaction can be conducted freely or advisedly in our ever more technologically sophisticated world. Pallitto uses the social theory of bargaining to look at the daily compromises we make with technology. Specifically, he explores whether resisting these 'bargains' is still possible when the technologies in question are backed by persuasive, even coercive, corporate and state power. Who, he asks, is proposing the bargain? What is the balance of bargaining power? What is surrendered and what is gained? And are the perceived and the actual gains and losses the same - that is, what is hidden? At the center of Pallitto's work is the paradox of bargaining in a world of limited agency. Assurances that we are in control are abundant whether we are consumers, voters, or party to the social contract. But when purchasing goods from a technological behemoth like Amazon, or when choosing a candidate whose image is crafted and shaped by campaign strategists and media outlets, how truly free, let alone informed, are our choices? The tension between claims of agency and awareness of its limits is the site where we experience our social lives - and nowhere is this tension more pronounced than in the surveillance society. This book offers a cogent analysis of how that complex, contested, and even paradoxical experience arises as well as an unusually clear and troubling view of the consequential compromises we may be making.

Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.