A Human's Guide to Machine Intelligence

A Human's Guide to Machine Intelligence
Author :
Publisher : Penguin
Total Pages : 274
Release :
ISBN-10 : 9780525560906
ISBN-13 : 0525560904
Rating : 4/5 (06 Downloads)

Book Synopsis A Human's Guide to Machine Intelligence by : Kartik Hosanagar

Download or read book A Human's Guide to Machine Intelligence written by Kartik Hosanagar and published by Penguin. This book was released on 2020-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.


A Human's Guide to Machine Intelligence Related Books

A Human's Guide to Machine Intelligence
Language: en
Pages: 274
Authors: Kartik Hosanagar
Categories: Business & Economics
Type: BOOK - Published: 2020-03-10 - Publisher: Penguin

DOWNLOAD EBOOK

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shap
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Deep Thinking
Language: en
Pages: 310
Authors: Garry Kasparov
Categories: Computers
Type: BOOK - Published: 2017-05-02 - Publisher: PublicAffairs

DOWNLOAD EBOOK

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in a
Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Computers
Type: BOOK - Published: 2020 - Publisher: Lulu.com

DOWNLOAD EBOOK

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
The Sentient Machine
Language: en
Pages: 224
Authors: Amir Husain
Categories: Computers
Type: BOOK - Published: 2017-11-21 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing pe