東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Towards sustainable artificial intel...

Chetsa, Ghislain Landry Tsafack.

Linked to FindBook

Google Book

Amazon

博客來

Towards sustainable artificial intelligence = a framework to create value and understand risk /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards sustainable artificial intelligence/ by Ghislain Landry Tsafack Chetsa.
Reminder of title:	a framework to create value and understand risk /
Author:	Chetsa, Ghislain Landry Tsafack.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xiii, 140 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: AI in our Society -- Chapter 2 Ethics of the Data Science Practice -- Chapter 3 Sustainable AI Framework (SAIF): Overview of SAIF framework -- Chapter 4 Intra-organizational understanding of AI: Towards Transparency -- Chapter 5 AI Performance Measurement: Think business values -- Chapter 6 SAIF in Action: A Case Study -- Chapter 7 Alternative Avenues for Regulating AI Development -- Chapter 8 AI in the Medical Decision Context: The use case of healthcare -- Chapter 9 Conclusions and discussion.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Moral and ethical aspects. -
Online resource:	https://doi.org/10.1007/978-1-4842-7214-5
ISBN:	9781484272145

Towards sustainable artificial intelligence = a framework to create value and understand risk /
Chetsa, Ghislain Landry Tsafack.

Towards sustainable artificial intelligencea framework to create value and understand risk /[electronic resource] :by Ghislain Landry Tsafack Chetsa. - Berkeley, CA :Apress :2021. - xiii, 140 p. :ill., digital ;24 cm.

Chapter 1: AI in our Society -- Chapter 2 Ethics of the Data Science Practice -- Chapter 3 Sustainable AI Framework (SAIF): Overview of SAIF framework -- Chapter 4 Intra-organizational understanding of AI: Towards Transparency -- Chapter 5 AI Performance Measurement: Think business values -- Chapter 6 SAIF in Action: A Case Study -- Chapter 7 Alternative Avenues for Regulating AI Development -- Chapter 8 AI in the Medical Decision Context: The use case of healthcare -- Chapter 9 Conclusions and discussion.

So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization's demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles. This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems. The SAIF developed in the book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles. By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term.

ISBN: 9781484272145

Standard No.: 10.1007/978-1-4842-7214-5doiSubjects--Topical Terms:

961670
Artificial intelligence
--Moral and ethical aspects.

LC Class. No.: Q334.7

Dewey Class. No.: 174.90063

Towards sustainable artificial intelligence = a framework to create value and understand risk /
LDR:03062nmm a2200325 a 4500 001 2242434
003 DE-He213
005 20210730131734.0
006 m d
007 cr nn 008maaau
008 211207s2021 cau s 0 eng d
020 $a 9781484272145 $q (electronic bk.)
020 $a 9781484272138 $q (paper)
024 7 $a 10.1007/978-1-4842-7214-5 $2 doi
035 $a 978-1-4842-7214-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334.7
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 174.90063 $2 23
090 $a Q334.7 $b .C526 2021
100 1 $a Chetsa, Ghislain Landry Tsafack. $3 3501588
245 1 0 $a Towards sustainable artificial intelligence $h [electronic resource] : $b a framework to create value and understand risk / $c by Ghislain Landry Tsafack Chetsa.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xiii, 140 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: AI in our Society -- Chapter 2 Ethics of the Data Science Practice -- Chapter 3 Sustainable AI Framework (SAIF): Overview of SAIF framework -- Chapter 4 Intra-organizational understanding of AI: Towards Transparency -- Chapter 5 AI Performance Measurement: Think business values -- Chapter 6 SAIF in Action: A Case Study -- Chapter 7 Alternative Avenues for Regulating AI Development -- Chapter 8 AI in the Medical Decision Context: The use case of healthcare -- Chapter 9 Conclusions and discussion.
520 $a So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization's demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles. This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems. The SAIF developed in the book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles. By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term.
650 0 $a Artificial intelligence $x Moral and ethical aspects. $3 961670
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Engineering Ethics. $3 2183278
650 2 4 $a Systems and Data Security. $3 898223
650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Machine Learning. $3 3382522
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-7214-5
950 $a Professional and Applied Computing (SpringerNature-12059)