Here are 100 books that Battlestar Galactica fans have personally recommended if you like
Battlestar Galactica.
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I am an engineer, scientist, turned technology manager who works in the field of Artificial Intelligence, and have gotten lost in Sci-Fi since I could first read. Now I want to share the stories that keep me awake at night.
Adam is a limited edition robot who can pass for human (something I can’t do on a bad day). It takes a while for Adam to learn to be part of that world, but as time passes, he moves from being the slave of his owner Charlie to being better than him in every way (just ask his girlfriend!). I kept thinking of what would it be like to have a better version of me hanging around the house. It took slaves a long time to be recognized as people, how long for the robots?
From the Booker Prize winner and bestselling author of Atonement—”a sharply intelligent novel of ideas” (The New York Times) that asks whether a machine can understand the human heart, or whether we are the ones who lack understanding.
Set in an uncanny alternative 1982 London—where Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence—Machines Like Me powerfully portrays two lovers who will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a…
My science fiction and fantasy writing is concerned with the values I was exposed to growing up. As a lifelong Quaker, I have struggled—often unsuccessfully—to live out Quakerism’s non-conformist, almost utopian commitment to equality, simplicity, peace, and community. Not only have I tried to bear witness to those values in my writing, but those ideals led me to my career as an instructor at a community college, one of America’s great socioeconomic leveling institutions. My background as a speculative fiction writer has also made me into a teacher of science fiction and fantasy literature at my college, where I read and came to love the books I recommend here.
Haunting and beautiful, it gave me a new perspective on what science fiction can accomplish: Ishiguro’s book is subtle, humane, and deeply concerned with the troubles of the real world.
This story of Klara, an “artificial friend” purchased to keep a sick little girl company, takes up questions of eugenics, artificial intelligence, and, ultimately, what it means to be a human being.
Along the way, the book explores the gulf between economic and social classes with as much care and compassion as Charles Dickens or Thomas Hardy—Klara and the Sun is some of the most inspiring science fiction I have ever read.
*The #1 Sunday Times Bestseller* *Longlisted for the Booker Prize 2021* *A Barack Obama Summer Reading Pick*
'A delicate, haunting story' The Washington Post 'This is a novel for fans of Never Let Me Go . . . tender, touching and true.' The Times
'The Sun always has ways to reach us.'
From her place in the store, Klara, an Artificial Friend with outstanding observational qualities, watches carefully the behaviour of those who come in to browse, and of those who pass in the street outside. She remains hopeful a customer will soon choose her, but when the possibility emerges…
I’ve always loved science fiction because it offers a hope, a dream, or a future that we just haven't seen yet. When I write my stories, I feel there is no better use of my imagination, than to contemplate a new world, a new civilization, or future technology. At the same time, I hope to entertain readers and spark young imaginations. Inside Modified, I reached into a distant future with off-world colonies that float in the clouds of Venus, while robots toil on the planet’s surface. Of course, in such a future, when advanced modifications and recursive designs are used, leads one to wonder if my robot can love too.
This book seems a bit strange at first, when the story begins with Moon-Watcher, the leader of a tribe of early ape-man, who struggles for survival during the brutal Pleistocene ice age. After an alien monolith appears, it seems to advance the way he thinks, leading him to develop crude weapons. When the same monolith is discovered in the future, we seem fated to find the answers behind the eerie structure. Skipping to a team of astronauts who travel aboard a ship to further investigate, things take an unexpected turn when the ship’s A.I. called HAL-9000, gets very confused about keeping secrets. Something about the way it remains so polite while it deceives the crew, is enough to give anyone a nightmare.
Written when landing on the moon was still a dream, and made into one of the most influential films of all time, 2001: A SPACE ODYSSEY remains a classic work of science fiction fifty years after its original publication.
The discovery of a black monolith on the moon leads to a manned expedition deep into the solar system, in the hope of establishing contact with an alien intelligence. Yet long before the crew can reach their destination, the voyage descends into disaster . . .
Brilliant, compulsive and prophetic, Arthur C. Clarke's timeless novel tackles the enduring theme of mankind's…
I am an engineer, scientist, turned technology manager who works in the field of Artificial Intelligence, and have gotten lost in Sci-Fi since I could first read. Now I want to share the stories that keep me awake at night.
OK, so I was biased by Robin Williams in the movie, but here we have a robot that shows creativity! Its “Masters” tolerate this, then encourage it, and soon Andrew is selling his brand – created by a robot! I like the way a hobby turned into a business. He becomes part of the family, and as those around him age and die he becomes alone, something that runs through my mind sometimes late at night. Andrew decides that he wants to be human, and the barrier is his immortality.
This classic collection includes the title story, acclaimed as Asimov's single finest Robot tale, and now made into a Hollywood movie starring Robin Williams. Each of the eleven stories here sparkle with characteristic Asimov inventiveness and imagination.
I have longed to move to the Shire ever since I first saw the film version of The Fellowship of the Ring. I wasn’t aware at first of Tolkien’s deep Catholic faith, but once it was pointed out to me, I was amazed at how he managed to weave Christian virtue into everything he wrote. As a long-time writer myself, I realized that I wanted to tell stories about the big stuff—love and hope, good and evil, doubt and courage—in a way that was genuine and unflinching. I think that all of the authors on this list have pulled off just that.
Part of what I love the most about The Lord of the Rings is the way that J.R.R. Tolkien made Middle Earth feel like it could be real. I have to remind myself it’s not history, but fiction. Reading Recorder gives me the same feeling. Sure, technically, it’s science fiction. It’s set in space. But there is a depth and honesty to the world that Cathy McCrumb has created that is rare and worth exploring. It is both a prescient warning about the future of humanity and a powerful story about found family and finding hope when up against impossible odds. Also, the romantic subplot of this book will absolutely shatter you.
The Consortium is All. But Recorder Can No Longer Obey.
Recorder has no family, no friends, and no name. Donated to the Consortium before birth, her sole purpose is to maintain and verify the records. A neural implant and drone ensure compliance, punishing for displays of bias.
Suddenly cut off from controlling technology, Recorder tastes what it means to be human. But if the Consortium discovers her feelings, everyone she knows will be in danger.
With no name, no resources, and only an infinitesimal possibility of escape, Recorder's time is running out.
"McCrumb achieves a fascinating coming-of-age story in a…
My PhD work was in developmental robotics, which is about how a robot could wake up and learn about the world the way a human child does. The robot in my thesis work does this by building models, and, more generally, society as a whole advances when science builds ever better causal models about how the world works. The books in this collection are about what could happen when we are 5, 10, and 100 years ahead in the causal model-building process, and they look at what happens when those models are built by robots instead of humans.
A program that helps you write better emails becomes conscious, and I loved the book because the story feels humorously realistic. You get a sense of what it is like to work in that office, and you get to follow the fallout of the conscious email program as it impersonates email senders to manipulate the recipients.
I’ve often joked that maybe printers are so terrible because they are actually conscious, refusing to work out of spite because they are bored. This book goes in that direction a bit with the email program. Also, if you like bored superintelligences, check out The Murderbot Diariesby Martha Wells. A security robot just wants to be left alone to watch TV.
David Ryan is the designer of ELOPe, an email language optimization program, that if successful, will make his career. But when the project is suddenly in danger of being canceled, David embeds a hidden directive in the software accidentally creating a runaway artificial intelligence.
David and his team are initially thrilled when the project is allocated extra servers and programmers. But excitement turns to fear as the team realizes that they are being manipulated by an A.I. who is redirecting corporate funds, reassigning personnel and arming itself in pursuit of its own agenda.
WINNER SCIENCE FICTION DIY BOOK FESTIVAL 2011-2012…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
Having studied literature at university and been a closet nerd, coding at night in a dank basement room, I've always been intrigued by the interface between human and machine. Then, as a senior executive in a large multinational, I was acutely aware of the value of empathy as a leadership skill. In a world that is increasingly divided and divisive, I’ve become an empathy activist. I believe that the business world can be a force for positive change, but as a society we will need to engage in a much more meaningful and rigorous debate about the ethics involved in the opportunities offered by using artificial intelligence and robots in the workplace.
Telving’s book is ahead of its time in exploring the deep questions of what our humanity is, with perspectives on our future life with AI and intelligent robots. I was particularly intrigued by the ways that the author explores how we evaluate our own consciousness, how we tend to anthropomorphize animals and objects, and the tricky ethical questions around how to legislate a life with robots. Telving deals with one subject that had been far off my radar in the form of the difference between the hard and easy problem of consciousness. It’s a very philosophical question, but in today’s world, where our values, beliefs, and interactions are in mutation, this understanding of consciousness is ever more pertinent.
Humanlike robots and digital humans are both fun and useful in many situations. But the more we interact with technology with human traits, the more we believe it to possess real human characteristics like consciousness and personality. As a new breed of artificial beings enter society on a large scale, many of us will start believing they deserve moral consideration and perhaps even rights. In this entertaining and humorously written book, Thomas Telving argues that even though the above scenario is close to inevitable, we should still do all we can to avoid it. Presenting us with thought-provoking future scenarios,…
As a child of the microcomputer revolution in the late 1970s, I’ve always been fascinated by the concept of a general-purpose machine that I could control. The deep learning revolution of 2010 or so, followed most recently by the advent of large language models like ChatGPT, has completely altered the landscape. It is now difficult to interpret the behavior of these systems in a way that doesn’t argue for intelligence of some kind. I’m passionate about AI because, decades after the initial heady claims made in the 1950s, AI has reached a point where the lofty promise is genuinely beginning to be kept. And we’re just getting started.
Artificial intelligence is, of necessity, an academic pursuit, at least initially. McCorduck’s book is her account of the history and development of AI. She was not a historian coming to events after the fact but a living witness. Her circle of friends included all the key figures, the people those of us who fell into AI later didn’t have the opportunity to know.
This book, personal and human, not technical and heavy, reveals the humanness of the process. Yes, artificial intelligence was the goal, but human intelligence (and frailty) were central to its emergence.
In the autumn of 1960, twenty-year-old humanities student Pamela McCorduck encountered both the fringe science of early artificial intelligence, and C. P. Snow's Two Cultures lecture on the chasm between the sciences and the humanities. Each encounter shaped her life. Decades later her lifelong intuition was realized: AI and the humanities are profoundly connected. During that time, she wrote the first modern history of artificial intelligence, Machines Who Think, and spent much time pulling on the sleeves of public intellectuals, trying in futility to suggest that artificial intelligence could be important. Memoir, social history, group biography of the founding fathers…
We’re a nonprofit that aims to help people have a positive social impact with their careers. Since you have, on average, 80,000 hours in your career, what you decide to do with that time might be your biggest opportunity to make a difference. Over the past ten years, we’ve conducted careful research into high-impact careers, and have helped thousands of people plan a career that has a high positive impact.
One example of an especially pressing threat facing humanity is the rapid development of artificial intelligence. If we want this new technology to go well, it needs to be ‘aligned’ – that is, it should have or act on the same values as us.
In this book, Brian sets out why aligning artificial intelligence is an extremely tricky issue and one which deserves more attention from talented and dedicated people.
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…
