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In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena H. Huang explains exactly how to quantify the effectiveness of new talent strategies by connecting them to a firm ROI estimate, enabling listeners to approach and win the favor of higher-ups in any organization with the same effectiveness that marketing and financial departments do.

A former senior intelligence officer reveals how our espionage practices are being transformed by a new global intelligence conflict, driven by AI and competition with China, and how ordinary Americans can play their part in defending our way of life.

Alex Vail took a sabbatical from his job on the board of one of the country's leading manufacturers to conduct several research projects, including the largest ever study into the UK's corporate AI capabilities. In total, he surveyed 234 senior leaders and interviewed 92 executives from FTSE350 companies to identify why digital transformations succeed or fail; the data dependency of organisations; and their levels of data literacy at senior levels.

In 2023, hundreds of machine-learning scientists signed an open letter warning about our risk of extinction from smarter-than-human AI. Yet today, the race to develop superhuman AI is only accelerating, as many tech CEOs throw caution to the wind, aggressively scaling up systems they don't understand—and won’t be able to restrain. There is a good chance that they will succeed in building an artificial superintelligence on a timescale of years or decades. And no one is prepared for what will happen next.

In The Intelligence Explosion, James Barrat, a leading technology expert, equips listeners with the tools to navigate the complex and often chaotic landscape of modern AI. This compelling book dives deep into the challenges posed by generative AI, exposing how tech companies have built systems that are both error-prone and impossible to fully interpret. Through insightful interviews with AI pioneers, Barrat highlights the unstable trajectory of AI development, showcasing its potential for modest benefits and catastrophic consequences.

Ninguna empresa científica reciente ha resultado tan seductora, aterradora y llena de extravagantes promesas y frustrantes reveses como la IA. La galardonada científica informática Melanie Mitchell revela su turbulenta historia, la reciente oleada de aparentes éxitos, las grandes esperanzas y temores que la rodean, y las cuestiones más urgentes hoy: ¿hasta qué punto son realmente inteligentes los programas de IA? ¿Qué pueden hacer realmente? ¿Hasta qué punto esperamos que se asemejen a los humanos y cuándo debemos preocuparnos de que nos superen?