Periodical
Artificial Intelligence Then and Now.
| العنوان: | Artificial Intelligence Then and Now. |
|---|---|
| المؤلفون: | Haigh, Thomas1 (AUTHOR) thomas.haigh@gmail.com |
| المصدر: | Communications of the ACM. Feb2025, Vol. 68 Issue 2, p24-29. 6p. |
| مصطلحات موضوعية: | *ARTIFICIAL intelligence, GENERATIVE artificial intelligence, ARTIFICIAL intelligence & ethics, ENERGY consumption of computers, HALLUCINATIONS (Artificial intelligence), ARTIFICIAL intelligence & society |
| مستخلص: | The 2010s witnessed remarkable advancements in machine learning (ML), with breakthroughs in neural networks surpassing expectations and revolutionizing fields such as gaming and scientific research. Companies like DeepMind demonstrated the potential of AI in mastering complex tasks, from playing Go to solving protein folding, fueling a surge of investment and innovation in ML technologies. However, the rise of generative AI tools like ChatGPT in the 2020s sparked debates about their reliability, with issues of hallucination, fabricated outputs, and misplaced trust coming to the forefront. While generative AI has transformed user interactions and corporate strategies, concerns about its energy demands, ethical implications, and control by powerful tech conglomerates raise critical questions about its societal impact. |
| قاعدة البيانات: | Business Source Index |
| ResultId |
1 |
|---|---|
| Header |
bsx Business Source Index 182365570 1500 6 Periodical serialPeriodical 1500 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=bsx&AN=182365570&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
|
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Artificial Intelligence Then and Now.
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Haigh%2C+Thomas%22">Haigh, Thomas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> thomas.haigh@gmail.com</i> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Feb2025, Vol. 68 Issue 2, p24-29. 6p. ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => *<searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22GENERATIVE+artificial+intelligence%22">GENERATIVE artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence+%26+ethics%22">ARTIFICIAL intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22ENERGY+consumption+of+computers%22">ENERGY consumption of computers</searchLink><br /><searchLink fieldCode="DE" term="%22HALLUCINATIONS+%28Artificial+intelligence%29%22">HALLUCINATIONS (Artificial intelligence)</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence+%26+society%22">ARTIFICIAL intelligence & society</searchLink> ) Array ( [Name] => Abstract [Label] => Abstract [Group] => Ab [Data] => The 2010s witnessed remarkable advancements in machine learning (ML), with breakthroughs in neural networks surpassing expectations and revolutionizing fields such as gaming and scientific research. Companies like DeepMind demonstrated the potential of AI in mastering complex tasks, from playing Go to solving protein folding, fueling a surge of investment and innovation in ML technologies. However, the rise of generative AI tools like ChatGPT in the 2020s sparked debates about their reliability, with issues of hallucination, fabricated outputs, and misplaced trust coming to the forefront. While generative AI has transformed user interactions and corporate strategies, concerns about its energy demands, ethical implications, and control by powerful tech conglomerates raise critical questions about its societal impact. ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Identifiers] => Array
(
[0] => Array
(
[Type] => doi
[Value] => 10.1145/3708554
)
)
[Languages] => Array
(
[0] => Array
(
[Code] => eng
[Text] => English
)
)
[PhysicalDescription] => Array
(
[Pagination] => Array
(
[PageCount] => 6
[StartPage] => 24
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => ARTIFICIAL intelligence
[Type] => general
)
[1] => Array
(
[SubjectFull] => GENERATIVE artificial intelligence
[Type] => general
)
[2] => Array
(
[SubjectFull] => ARTIFICIAL intelligence & ethics
[Type] => general
)
[3] => Array
(
[SubjectFull] => ENERGY consumption of computers
[Type] => general
)
[4] => Array
(
[SubjectFull] => HALLUCINATIONS (Artificial intelligence)
[Type] => general
)
[5] => Array
(
[SubjectFull] => ARTIFICIAL intelligence & society
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Artificial Intelligence Then and Now.
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Haigh, Thomas
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 02
[Text] => Feb2025
[Type] => published
[Y] => 2025
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 00010782
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 68
)
[1] => Array
(
[Type] => issue
[Value] => 2
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Communications of the ACM
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |