
Hello World
Being Human in the Age of Algorithms
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Narrado por:
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Hannah Fry
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De:
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Hannah Fry
Acerca de esta escucha
Shortlisted for the 2018 Royal Society Investment Science Book Prize
A look inside the algorithms that are shaping our lives and the dilemmas they bring with them.
If you were accused of a crime, who would you rather decide your sentence - a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family’s full medical history if you were told that it would help researchers find a cure for cancer?
These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions - in crime, justice, healthcare, transportation, and money - they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused?
Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.
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The machines have taken over: here’s why you should care
If you use the internet at all (and you're reading this so I’m going to go ahead and guess you do), the basic premise of Hello World is hardly revolutionary: the same sites and apps that have brought the universe to our fingertips also create a digital footprint that influences other aspects of our lives. Though that's no surprise, the breadth of examples that Hannah Fry provides on the human consequences of the Age of Algorithms—from politics to the criminal justice system to whether or not you can buy a house—is eye-opening, even for this data nerd. This is a critical listen if we want to end up on the right side of the line between the Jetsons' tech paradise and every dystopian sci-fi ever written. And who said important and informative have to be boring? Fry's TED talk on The Mathematics of Love proved she knows how to capture an audience's attention, which holds true even throughout Hello World's seven-hour running time.
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- Narrado por: Hannah Fry, Adam Rutherford
- Duración: 7 h y 2 m
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Geneticist Adam Rutherford and mathematician Hannah Fry guide listeners through time and space, through our bodies and brains, showing how emotions shape our view of reality, how our minds tell us lies, and why a mostly bald and curious ape decided to begin poking at the fabric of the universe.
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Great info
- De Stephen Dickson en 05-12-25
De: Adam Rutherford, y otros
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Artificial Intelligence
- A Guide for Thinking Humans
- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
- Duración: 9 h y 33 m
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In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell
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The Alignment Problem
- Machine Learning and Human Values
- De: Brian Christian
- Narrado por: Brian Christian
- Duración: 13 h y 33 m
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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. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
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Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
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Weapons of Math Destruction
- How Big Data Increases Inequality and Threatens Democracy
- De: Cathy O'Neil
- Narrado por: Cathy O'Neil
- Duración: 6 h y 23 m
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We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.
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More are US social problems that WMD
- De Laurent Bourgault-Roy en 01-08-17
De: Cathy O'Neil
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The Book of Why
- The New Science of Cause and Effect
- De: Judea Pearl, Dana Mackenzie
- Narrado por: Mel Foster
- Duración: 15 h y 14 m
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"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.
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Great book! Not a great audiobook.
- De rrwright en 05-30-18
De: Judea Pearl, y otros
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Rebooting AI
- Building Artificial Intelligence We Can Trust
- De: Gary Marcus, Ernest Davis
- Narrado por: Kaleo Griffith
- Duración: 7 h y 24 m
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Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
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Not very technical
- De jason en 04-30-20
De: Gary Marcus, y otros
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How To
- Absurd Scientific Advice for Common Real-World Problems
- De: Randall Munroe
- Narrado por: Wil Wheaton
- Duración: 6 h y 15 m
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For any task you might want to do, there's a right way, a wrong way, and a way so monumentally complex, excessive, and inadvisable that no one would ever try it. How To is a guide to the third kind of approach. It's full of highly impractical advice for everything from landing a plane to digging a hole.
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Bad Ideas So BAD They Are NEARLY Irresistable! 🤓
- De C. White en 09-03-19
De: Randall Munroe
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Hello World
- Was Algorithmen können und wie sie unser Leben verändern
- De: Hannah Fry
- Narrado por: Katrin Heß
- Duración: 7 h y 7 m
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Sie sind eines Verbrechens angeklagt. Wer soll über Ihr Schicksal entscheiden? Ein menschlicher Richter oder ein Computer-Algorithmus? Sie sind sich absolut sicher? Sie zögern womöglich? In beiden Fällen sollten Sie das Buch der jungen Mathematikerin und Moderatorin Hannah Fry lesen, das mit erfrischender Direktheit über Algorithmen aufklärt, indem es von Menschen handelt. Algorithmen prägen in wachsendem Ausmaß den Alltag von Konsum, Finanzen, Medizin, Polizei, Justiz, Demokratie und sogar Kunst.
De: Hannah Fry
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The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
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Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
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very good statistics overview
- De Tom en 11-29-19
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Algorithms of Oppression
- How Search Engines Reinforce Racism
- De: Safiya Umoja Noble
- Narrado por: Shayna Small
- Duración: 6 h y 21 m
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
- De Joshua Daniel-Wariya en 06-06-19
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You Look Like a Thing and I Love You
- How Artificial Intelligence Works and Why It's Making the World a Weirder Place
- De: Janelle Shane
- Narrado por: Xe Sands
- Duración: 5 h y 33 m
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"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.
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Funny and smart, but biased on bias
- De Razter en 11-11-19
De: Janelle Shane
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Tidy First?
- A Personal Exercise in Empirical Software Design
- De: Kent Beck
- Narrado por: Stephen R. Thorne
- Duración: 2 h y 41 m
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Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code while keeping the overall structure of the system in mind. Instead of trying to master tidying all at once, this book lets you try out a few examples that make sense for your problem. If you have a big function containing many lines of code, you'll learn how to logically divide it into smaller chunks.
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do yourself a favor and skip the audio book
- De goranche en 04-30-25
De: Kent Beck
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Humble Pi
- When Math Goes Wrong in the Real World
- De: Matt Parker
- Narrado por: Matt Parker
- Duración: 9 h y 33 m
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Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.
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Fascinating & enlightening even for da mathphobic✏️
- De C. White en 01-23-20
De: Matt Parker
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A Brief History of Artificial Intelligence
- What It Is, Where We Are, and Where We Are Going
- De: Michael Wooldridge
- Narrado por: Glen McCready
- Duración: 8 h y 8 m
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From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.
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very basic.
- De Placeholder en 11-11-21
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Atlas of AI
- Power, Politics, and the Planetary Costs of Artificial Intelligence
- De: Kate Crawford
- Narrado por: Larissa Gallagher
- Duración: 8 h y 53 m
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What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.
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A fascinating and thought provoking examination of
- De Tom Dawkins en 03-13-23
De: Kate Crawford
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The Master Algorithm
- How the Quest for the Ultimate Learning Machine Will Remake Our World
- De: Pedro Domingos
- Narrado por: Mel Foster
- Duración: 13 h y 3 m
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Great book, irritating narration
- De N. G. PEPIN en 09-24-15
De: Pedro Domingos
Did an algorithm suggest you listen to this book?
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Very well written and performed!
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It’s a fantastic read/listen on a subject that frankly deserves more scrutiny due to the impact it has on our lives on a daily basis. Cheers!
A wonderfully human-centric view on something that has a reputation of not being as much
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Algorithms allow computers to scan slides quickly and more accurately for signs of cancer, guide the buying and selling of stocks on Wall Street, and "drive" self-driving cars. Algorithms can help us greatly, and also do great harm. Ms. Fry thinks that humans and machines working together is the best and safest way to head bravely into the future. GPS can get you safely from point A to point B, but it's also your responsibility not to drive off a cliff, even if Mandy's friendly GPS voice tells you to.
Hello World is an excellent, informative read, and one I highly recommend.
Algorithms are all around - good and bad
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Brilliant work!
I cant imagine this being read by anyone other than Fry herself. Perfect cadence, timing, etc. An incredible speaker.
Loved the book!
Hannah Fry is absolutely spot on
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Wow.
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Held interest throughout
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Complex subject matter, beautifully handled.
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A Must Listen to Anyone in Comp and Data Science
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a book for our times
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