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"Artificial intelligence-Forecasting"
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2062 : the world AI made
2062 is the year by which we will have built machines as intelligent as us. This is what leading AI and robotics experts predict. But what will this future actually look like? When the quest to build intelligent machines has been successful, how will life on this planet unfold? In 2062, Toby Walsh considers the impact AI will have on work, war, politics, economics, everyday human life and, indeed, human death. Will robots become conscious? Will automation take away jobs? Will we become immortal machines ourselves, uploading our brains to the cloud? What lies in store for homo digitalis - the people of the not-so-distant future who will be living amongst fully functioning artificial intelligence? In the tradition of Yuval Noah Harari's Homo Deus, 2062 describes the choices we need to make today to ensure that future remains bright.
The age of em : work, love, and life when robots rule the Earth
by
Hanson, Robin
in
Artificial intelligence
,
Artificial intelligence -- Forecasting
,
Artificial intelligence -- Philosophy
2016
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or \"ems.\" Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.
The age of em : work, love, and life when robots rule the earth
\"Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or 'ems.' Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times: an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs. In this new economic era, the world economy may double in size every few weeks. Some say we can't know the future, especially following such a disruptive new technology, but Professor Robin Hanson sets out to prove them wrong\"--Amazon.com.
Intelligence unbound
by
Blackford, Russell
,
Broderick, Damien
in
Artificial intelligence
,
Artificial intelligence - Forecasting
,
Mind & Body
2014
Intelligence Unbound explores the prospects, promises, and potential dangers of machine intelligence and uploaded minds in a collection of state-of-the-art essays from internationally recognized philosophers, AI researchers, science fiction authors, and theorists.
* Compelling and intellectually sophisticatedexploration of the latest thinking on Artificial Intelligence and machine minds
* Features contributions from an international cast of philosophers, Artificial Intelligence researchers, science fiction authors, and more
* Offers current, diverse perspectives on machine intelligence and uploaded minds, emerging topics of tremendous interest
* Illuminates the nature and ethics of tomorrow's machine minds—and of the convergence of humans and machines—to consider the pros and cons of a variety of intriguing possibilities
* Considers classic philosophical puzzles as well as the latest topics debated by scholars
* Covers a wide range of viewpoints and arguments regarding the prospects of uploading and machine intelligence, including proponents and skeptics, pros and cons
Why machines will never rule the world : artificial intelligence without fear
by
Landgrebe, Jobst, author
,
Smith, Barry, 1952- author
in
Artificial intelligence Philosophy.
,
Artificial intelligence Social aspects.
,
Singularities (Artificial intelligence) Forecasting.
2025
\"This book's core argument is that an artificial intelligence that could equal or exceed human intelligence - sometimes called 'artificial general intelligence' (AGI) - is for mathematical reasons impossible. It offers two specific reasons for this claim: 1. Human intelligence is a capability of the human brain and central nervous system, which is a complex dynamic system 2. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, biology, and anthropology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve \"Artificial Intelligence\" (AI)? And why, after more than 50 years, are our interactions with AI, for example with our bank's computers, still so unsatisfactory? The First Edition was published the same week that ChatGPT was unleashed onto the world. In this Second Edition, shows how their arguments apply to new Large Language Models and bring up to date their other arguments relating to the limits of AI. They show why AI systems are best viewed as pieces of mathematics, which cannot think, feel, or will. They also demolish the idea that, with the help of AI, we could \"solve physics\" in a way that would allow us to create, in the cloud, a perfect simulation of reality in which we could enjoy digital immortality. Such ideas reveal a lack of understanding of physics, mathematics, human biology, and computers. There is still, as they demonstrate in an updated final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, and which are as impossible as AI systems that are intrinsically \"evil\" or able to \"will\" a takeover of human society. Key Changes to the Second Edition Shows how the arguments of the First Edition apply also to new Large Language Models Adds a treatment of human practical intelligence - of knowing how vs. knowing that - a topic that is ignored by the AI community Demonstrates why \"AI ethics\" should be relabeled \"ethics of human uses of AI\" Adds a new chapter showing the essential limitations of physics, providing a thorough grounding for the arguments of the book Demolishes the idea that we might already be living in a simulation. Jobst Landgrebe is a scientist and entrepreneur with a background in philosophy, mathematics, neuroscience, medicine, and biochemistry. Landgrebe is also the founder of Cognotekt, a German AI company which has since 2013 provided working systems used by companies in areas such as insurance claims management, real estate management, and medical billing. After more than 15 years in the AI industry he has developed an exceptional understanding of the limits and potential of AI in the future. Barry Smith is one of the most widely cited contemporary philosophers. He has made influential contributions to the foundations of ontology and data science, especially in the biomedical domain. Most recently, his work has led to the creation of an international standard in the ontology field (ISO/IEC 21838), which is the first example of a piece of philosophy that has been subjected to the ISO standardization process\"-- Provided by publisher.
Link
2019
Why aren't the most powerful new technologies being used to solve the world's most important problems: hunger, poverty, conflict, employment, disease? In Link, Dr. Lorien Pratt answers these questions by exploring the solution that is emerging worldwide to take Artificial Intelligence to the next level: Decision Intelligence.
The fourth age : smart robots, conscious computers, and the future of humanity
This assessment of the revolutionary potential of artificial intelligence and robotics traces how technology arrived at this point and how artificial life, machine consciousness, extreme prosperity, and technological warfare will be hotly debated issues of the near future.
The Technological Singularity
by
Shanahan, Murray
in
Artificial Intelligence
,
Artificial intelligence -- Forecasting
,
Artificial intelligence -- Psychological aspects
2015
The idea that human history is approaching a \"singularity\" -- that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both -- has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century. Murray Shanahan offers an introduction to the idea of the singularity and considers the ramifications of such a potentially seismic event. Shanahan's aim is not to make predictions but rather to investigate a range of scenarios. Whether we believe that singularity is near or far, likely or impossible, apocalypse or utopia, the very idea raises crucial philosophical and pragmatic questions, forcing us to think seriously about what we want as a species. Shanahan describes technological advances in AI, both biologically inspired and engineered from scratch. Once human-level AI -- theoretically possible, but difficult to accomplish -- has been achieved, he explains, the transition to superintelligent AI could be very rapid. Shanahan considers what the existence of superintelligent machines could mean for such matters as personhood, responsibility, rights, and identity. Some superhuman AI agents might be created to benefit humankind; some might go rogue. (Is Siri the template, or HAL?) The singularity presents both an existential threat to humanity and an existential opportunity for humanity to transcend its limitations. Shanahan makes it clear that we need to imagine both possibilities if we want to bring about the better outcome.
The cybernetic society : how humans and machines will shape the future together
by
Husain, Amir (Businessman), author
in
Artificial intelligence Social aspects.
,
Artificial intelligence Forecasting.
,
Computers and IT.
2025
Artificial intelligence is inescapable: at home, at work, in politics, and on the battlefield. In 'The Cybernetic Society', technologist Amir Husain argues that AI hasn't simply encroached on everything we do. It has become part of us, and we, it. Humans and intelligent machines, he argues, are enmeshed in a symbiotic hybrid that he calls a 'cybernetic society.' Husain describes a present and future where AI isn't a tool of humans but our equal partner, one where they can realize their own visions of the world.