Social Machines

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Unlock the Power of AI to Dominate Social Media and Grow Your Brand. Are you struggling to build an audience, increase engagement, or generate sales through social media? Do you feel overwhelmed by constantly changing algorithms, content trends, and the pressure to stay relevant? What if you could automate and optimize your strategy using Artificial Intelligence (AI)? In Social Media Marketing for Beginners 2025, renowned digital marketing expert Maxwell Cyberstein reveals cutting-edge AI-driven strategies that will transform your online presence.

Powell and Silverglate shine a light on the defects of the federal criminal-justice system: overzealous prosecutors, perjury traps, negligent judges, perverse limits on self-defense, vague and overabundant criminal statutes, insufficient requirements for criminal intent, and no accountability for prosecutors. Most important, they provide a much-needed blueprint for reforming the Department of Justice and the criminal-justice system, including actions an average citizen can take to help restore justice.

The Doomsday Machine is Ellsberg's hair-raising insider's account of the most dangerous arms buildup in the history of civilization, whose legacy - and renewal under the Obama administration - threatens the very survival of humanity. It is scarcely possible to estimate the true dangers of our present nuclear policies without penetrating the secret realities of the nuclear strategy of the late Eisenhower and early Kennedy years, when Ellsberg had high-level access to them.

A paradigm-shifting work that revolutionizes our understanding of the origins and structure of science.

Companies like Facebook and Twitter have redefined social interaction. But what if "machines" like automobiles, bicycles, health monitors, appliances, instruments, and anything else you can connect to the Internet, could all become members of your social network, collect data you care about, and feed it back to you at just the right time?

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. Systems cull résumés 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 autonomous vehicles on our streets can injure or kill.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

If you want a more agile, productive, and efficient business by using the Six Sigma Methodology, then keep reading… Do you want your business to consistently deliver exceptional products? Do you want to meet your customers’ needs while also reducing costs? Do you want to put an end to waste and inefficiency in the workplace? You’re in the right place. Every business wants to meet the triple bottom line… and then some. But meeting your customers’ needs while staying profitable and ensuring your stakeholders and employees are happy is a delicate balancing act. So why not maximize ...

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

Shame is a powerful and sometimes useful tool: When we publicly shame corrupt politicians, abusive celebrities, or predatory corporations, we reinforce values of fairness and justice. But as Cathy O’Neil argues in this revelatory book, shaming has taken a new and dangerous turn. It is increasingly being weaponized—used as a way to shift responsibility for social problems from institutions to individuals.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

As lives offline and online merge, it's easy to forget how we got here. Rise of the Machines reclaims the story of cybernetics, a control theory of man and machine. Thomas Rid delivers a portrait of our technology-enraptured era. Springing from mathematician Norbert Wiener amid the devastation of World War II, the cybernetic vision underpinned a host of myths about the future of machines. This vision radically transformed the postwar world, ushering in sweeping cultural change.

We are about to cross a critical threshold in the history of our species. Everything is about to change. Soon we will live surrounded by AIs. They will carry out complex tasks-operating businesses, producing unlimited digital content, running core government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. It represents nothing less than a step change in human capability. We are not prepared.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?