Brockman's deep engagement with many of the leading scientists who have worked on artificial intelligence, from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram, makes Possible Minds an ideal introduction to the landscape of crucial issues AI raises. Some of these figures, including computer scientist Stuart Russell, Skype founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, such as robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have very different views. Possible Minds lays out the intellectual landscape of one of our time's most important issues in a serious, searching and authoritative manner.

Artificial Intelligence (AI) has taken the world by storm. Almost every industry across the globe is incorporating AI for a variety of applications and use cases. Some of its wide range of applications includes process automation, predictive analysis, fraud detection, improving customer experience, etc. To learn more about AI and it's concepts, you can start by reading the Top Artificial Intelligence Books for self-learning. AI is being foreseen as the future of technological and economic development.

Following the publication of best-selling titles, The FINTECH Book, The INSURTECH Book, The WEALTHTECH Book and The PAYTECH Book, we are pleased to announce the release of the latest instalment in the series: The AI Book. The AI Book is the result of globally crowdsourcing the most cutting-edge artificial intelligence knowledge, led by FINTECH Circle. After the initial call for potential co-authors of the book was released and shared across the wider fintech community, 170 potential contributors submitted proposals with a diverse range of industry expertise. After shortlisting writers, these successful AI entrepreneurs, fintech professionals, thought leaders and investors went on to write chapters for The AI Book, the latest edition of The FINTECH Book Series published by WILEY. Susanne Chishti, the CEO and Founder of FINTECH Circle, selected three AI and technology leaders to join her on the editorial side – a powerful all-women team consisting of Ivana Bartoletti (Technical Director at Deloitte, author and Co-founder of the Women Leading in AI network), Anne Leslie (Senior Managing Consultant at IBM), and Shân M. Millie (Founder at Bright Blue Hare, Founding Associate of London Market Growth and Business Performance Specialists at GreenKite).

Finance may well be a test for the trust consumers place in Artificial Intelligence. Data is essential for the AI industry to flourish but what steps do financial services need to take to ensure customers trust the sector to innovate through AI? And what is the tradeoff between consumer benefits and privacy? E-commerce, PSD2 and the rapid increase of smartphone ownership mean consumers demand efficient services alongside strong security and privacy protections. This chapter will focus on the key issues of transparency and trust, and will outline what digital ethics mean for the financial sector.

I always think that people, especially in the scientific and engineering society, underestimate the importance of simple explanations of difficult concepts, especially concerning people that are new in the field, these books help on making difficult concepts seem not so difficult!

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. What Is The Best Book On Artificial Intelligence (AI)? I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade.

Readers of this column know that Artificial intelligence (AI) is hot. Managing Director at Redpoint Capital's Tomasz Tunguz recently pointed out that the AI startup ecosystem blossomed in just a few years: there are 400 AI startups today and there were none 8 years ago. You might also think that the hype is getting out of hand when you read this week's Gartner report on Artificial Intelligence: the research group claims that AI Augmentation Will Create $2.9 Trillion of Business Value in 2021. If you're feeling "behind the AI ball", you might find solace the latest AI report from the UK's Defence Science and Technology Laboratory; they found that, of the start-ups claiming to use AI, only 40% actually did … And, despite its bullish views on the future of AI, Gartner did find major impediments to "AI Success". The research firm's latest survey shows that the #1 issue is skilled help and difficulty in understanding AI use cases.

AI is rapidly changing everything. It is transforming society, the very way we live and act as social creatures, how we behave, how we do business, and even the very fabric of our own human identity. Cities are managed by machine driven big data gathered by sensors, constructing together what we known as the Internet of Things. An escalating digital transformation is transforming our vast amounts of paper ledgers into digital records, from traffic to finance to medical records. These, which convey most of the data gathered about us, are now processed in the cloud and augmented with machine learning artificial intelligence's multiple tools, which are stored in blockchain distributed ledgers.

"If you program a machine, you know what it's capable of. If the machine is programming itself, who knows what it might do?" ― Garry Kasparov Artificial Intelligence is a complex subject. However, reading and acquiring knowledge through books written on Artificial Intelligence, Machine Learning, Data Science and other related topics can help technology enthusiasts to a great extent. Here is a list of ten books on AI and Machine Learning that provide the information on basics of technology, its present, the future paradigm and the most rabid fictionalized set-ups that are expected to arrive in the coming future. We have rated the books on a scale of 1-5, considering their depth, research, uniqueness, reader's review, and the AiThority News Quotient.

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade. My plan for this article was to nominate the single best book on AI – as in, if you could only read one, which book should it be?