The AI Mirror
How to Reclaim Our Humanity in an Age of Machine Thinking
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Narrated by:
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Kim Niemi
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By:
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Shannon Vallor
About this listen
For many, technology offers hope for the future-that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome-not by us, but by our machines. Yet rather than open new futures, today's powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors, they reflect the same errors, biases, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been, never where we might venture together for the first time.
To meet today's grave challenges to our species and our planet, we will need something new from AI, and from ourselves.
Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.
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Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by unveiling his candid correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 100 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto.
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Dear Neil...
- By Tina G. on 10-14-19
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Secrets of the Octopus
- By: Sy Montgomery, Warren K. Carlyle IV - contributor, Alex Schnell - foreword
- Narrated by: Sy Montgomery
- Length: 4 hrs and 30 mins
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Remarkable new discoveries affirm the octopus as one of nature’s most intelligent and complex animals. This new book brings us closer than ever to these elusive creatures. The companion to the highly anticipated National Geographic television special, this book explores the alluring underwater world of the octopus—a creature that resembles an alien lifeform, but whose behavior has earned it a reputation as one of the most intelligent animals on the planet.
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An okay listen
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The Last Season
- By: Eric Blehm
- Narrated by: Jonathan Davis
- Length: 12 hrs and 34 mins
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Destined to become a classic of adventure literature, The Last Season examines the extraordinary life of legendary backcountry ranger Randy Morgenson and his mysterious disappearance in California's unforgiving Sierra Nevada - mountains as perilous as they are beautiful. Eric Blehm's masterful work is a gripping detective story interwoven with the riveting biography of a complicated, original, and wholly fascinating man.
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Well Written Character Study of an NPS Ranger
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By: Eric Blehm
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Your Brain Is a Time Machine
- The Neuroscience and Physics of Time
- By: Dean Buonomano
- Narrated by: Aaron Abano
- Length: 8 hrs and 51 mins
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In Your Brain Is a Time Machine, brain researcher and best-selling author Dean Buonomano draws on evolutionary biology, physics, and philosophy to present his influential theory of how we tell and perceive time. The human brain, he argues, is a complex system that not only tells time but creates it; it constructs our sense of chronological flow and enables "mental time travel" - simulations of future and past events.
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Great book on an underrated subject
- By Neuron on 05-09-17
By: Dean Buonomano
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Ten Drugs
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- By: Thomas Hager
- Narrated by: Angelo Di Loreto
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Beginning with opium, the “joy plant,” which has been used for 10,000 years, Thomas Hager tells a captivating story of medicine. His subjects include the largely forgotten female pioneer who introduced smallpox inoculation to Britain, the infamous knockout drops, the first antibiotic, which saved countless lives, the first antipsychotic, which helped empty public mental hospitals, Viagra, statins, and the new frontier of monoclonal antibodies. This is a deep, wide-ranging, and wildly entertaining book.
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Engrossing to physicians & lay persons alike
- By C. White on 03-08-19
By: Thomas Hager
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Chemistry and Our Universe
- How It All Works
- By: Ron B. Davis, The Great Courses
- Narrated by: Ron B. Davis
- Length: 30 hrs and 6 mins
- Original Recording
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Chemistry and Our Universe: How It All Works is your in-depth introduction to this vital field, taught through 60 engaging half-hour lectures that are suitable for any background or none at all. Covering a year’s worth of introductory general chemistry at the college level, plus intriguing topics that are rarely discussed in the classroom, this amazingly comprehensive course requires nothing more advanced than high-school math. Your guide is Professor Ron B. Davis, Jr., a research chemist and award-winning teacher at Georgetown University.
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Great Professor, Hard to Follow.
- By Jen on 05-14-19
By: Ron B. Davis, and others
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By: Daniela Rus, and others
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Good concept, poor execution
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Honestly, I'm a little disappointed.
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Scary Smart
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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.
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Nothing but fluff.
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The Singularity Is Nearer
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Overall
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Performance
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Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.
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victory lap
- By Anonymous User on 06-30-24
By: Ray Kurzweil
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Why Machines Learn
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Overall
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Performance
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We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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A great listen, but a physical book is pre appropriate
- By Sameer D. on 11-07-24
What listeners say about The AI Mirror
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Amazon Customer
- 12-30-24
Timely But Incomplete
Shannon Vallor’s work is a vital and culturally attuned contribution to the conversation on AI ethics, advocating for systems that prioritize human-centered values, ethical reflection, and collective well-being over profit-driven opacity. Her critique of AI’s perpetuation of historical biases is essential, but her framework falters by not fully addressing the inevitable entanglement of human values with cultural biases, moral contradictions, and polarized constructs like good and evil. This creates a cognitive loop: while critiquing AI’s flaws, her vision assumes human values can somehow transcend their own embedded contradictions, leaving the deeper issues of humanity’s fragmented ethics largely unexplored.
This oversight risks reproducing the very dynamics her critique aims to disrupt, revealing an incompleteness in her argument. Yet this gap reflects the broader cultural moment, one that prioritizes actionable hope over the uncomfortable task of confronting the foundational biases within human culture. Vallor’s work is a necessary step, but to fully address the ethical challenges of AI, the conversation must also grapple with the contradictions at the heart of what it means to center “human” values.
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