語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
On the path to AILaw's prophecies an...
~
Grant, Thomas D.
On the path to AILaw's prophecies and the conceptual foundations of the machine learning age /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
On the path to AIby Thomas D. Grant, Damon J. Wischik.
其他題名:
Law's prophecies and the conceptual foundations of the machine learning age /
作者:
Grant, Thomas D.
其他作者:
Wischik, Damon J.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xxii, 147 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Artificial intelligence.
電子資源:
https://doi.org/10.1007/978-3-030-43582-0
ISBN:
9783030435820$q(electronic bk.)
On the path to AILaw's prophecies and the conceptual foundations of the machine learning age /
Grant, Thomas D.
On the path to AI
Law's prophecies and the conceptual foundations of the machine learning age /[electronic resource] :by Thomas D. Grant, Damon J. Wischik. - Cham :Springer International Publishing :2020. - xxii, 147 p. :ill., digital ;24 cm.
Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions.
Open access.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two 'revolutions' in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age--prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
ISBN: 9783030435820$q(electronic bk.)
Standard No.: 10.1007/978-3-030-43582-0doiSubjects--Topical Terms:
194058
Artificial intelligence.
LC Class. No.: Q335 / .G736 2020
Dewey Class. No.: 006.3
On the path to AILaw's prophecies and the conceptual foundations of the machine learning age /
LDR
:02468nmm a2200337 a 4500
001
580077
003
DE-He213
005
20200602120923.0
006
m
007
cr
008
201229s2020
020
$a
9783030435820$q(electronic bk.)
020
$a
9783030435813$q(paper)
024
7
$a
10.1007/978-3-030-43582-0
$2
doi
035
$a
978-3-030-43582-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q335
$b
.G736 2020
072
7
$a
JHB
$2
bicssc
072
7
$a
SOC026000
$2
bisacsh
072
7
$a
JHB
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
Q335
$b
.G763 2020
100
1
$a
Grant, Thomas D.
$3
869639
245
1 0
$a
On the path to AI
$h
[electronic resource] :
$b
Law's prophecies and the conceptual foundations of the machine learning age /
$c
by Thomas D. Grant, Damon J. Wischik.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Palgrave Macmillan,
$c
2020.
300
$a
xxii, 147 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions.
506
$a
Open access.
520
$a
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two 'revolutions' in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age--prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
650
0
$a
Artificial intelligence.
$3
194058
650
0
$a
Machine learning.
$3
188639
650
1 4
$a
Science and Technology Studies.
$3
773479
650
2 4
$a
Human Geography.
$3
274571
650
2 4
$a
IT Law, Media Law, Intellectual Property.
$3
823867
650
2 4
$a
Artificial Intelligence.
$3
212515
700
1
$a
Wischik, Damon J.
$3
869640
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-3-030-43582-0
950
$a
Social Sciences (Springer-41176)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000184663
電子館藏
1圖書
電子書
EB Q335 .G763 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-43582-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入