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Heart of the Machine: our future in a world of artificial emotional intelligence
(eAudiobook)

Book Cover
Average Rating
Contributors:
Published:
[United States] : Tantor Media, Inc., 2017.
Content Description:
1 online resource (1 audio file (10hr., 20 min.)) : digital.
Status:
Description

Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.

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More Details
Format:
eAudiobook
Edition:
Unabridged.
Language:
English
ISBN:
9781541421493, 1541421493

Notes

Restrictions on Access
Instant title available through hoopla.
Participants/Performers
Read by Robertson Dean.
Description
Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.
System Details
Mode of access: World Wide Web.
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Citations
APA Citation (style guide)

Yonck, R., & Dean, R. (2017). Heart of the Machine: our future in a world of artificial emotional intelligence. Unabridged. [United States], Tantor Media, Inc.

Chicago / Turabian - Author Date Citation (style guide)

Yonck, Richard and Robertson, Dean. 2017. Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence. [United States], Tantor Media, Inc.

Chicago / Turabian - Humanities Citation (style guide)

Yonck, Richard and Robertson, Dean, Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence. [United States], Tantor Media, Inc, 2017.

MLA Citation (style guide)

Yonck, Richard, and Robertson Dean. Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence. Unabridged. [United States], Tantor Media, Inc, 2017.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
1d8b6cf0-fd35-cee7-c40b-2f439d990b2c
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Hoopla Extract Information

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Record Information

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Last Grouped Work Modification TimeApr 19, 2024 02:10:42 AM

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