THE FUTURE AND CHALLENGES OF AI IN DECISION MAKING: CAN AI REPLACE HUMANS IN DECISION MAKING? Article Swipe
Dr.V.Muthulakshmi
,
Dr.S. Thilagavathi
,
Dr.P.Dinesh Kumar
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.36713/epra25137
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.36713/epra25137
The modern era of AI is developing rapidly and is once more a prevalent subject for investigate. The objective of this paper is to discover the role of Artificial Intelligence in Business decision making and issues that come up when utilizing and influencing AI-based frameworks for decision-making and to deliver the outcomes to retrieve the challenges. AI is no longer just a science fiction dream but is revolutionizing the way companies approach decision making thanks to its ability to analyze large volumes of data and generate actionable insights. AI’s role into decision-making processes is transforming industries by enabling more informed, well-organized, and valuable decisions. Its capability can quickly and accurately analyze vast amounts of data means it’s ideally suited for decision-making in the 21st century. The future crash of AI in decision-making is expected to be considerable and transformative across various sectors, building upon the current trends and capabilities of artificial intelligence. The above all these points explain that AI can sometimes fully automate and restore human decision-making, particularly for lower-stakes alternatives. Even though, AI application has numerous challenges, some of the precautions to be handled before using every step in processes like Conduct outstanding diligence, Execute encryption, Use protected communication protocols, Discuss contract terms and Scrutinize and inspection can mitigate the problems. Keywords: Artificial Intelligence, cloud service, Data set, Decision making, Application, Well- Organized.
Related Topics
Concepts
Computer science
Transformative learning
Artificial intelligence
Applications of artificial intelligence
Data science
Cloud computing
Big data
Risk analysis (engineering)
Subject (documents)
Decision support system
Subject-matter expert
Key (lock)
Human intelligence
Business decision mapping
Business intelligence
Management science
Decision analysis
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.36713/epra25137
- OA Status
- diamond
- OpenAlex ID
- https://openalex.org/W7108747421
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7108747421Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.36713/epra25137Digital Object Identifier
- Title
-
THE FUTURE AND CHALLENGES OF AI IN DECISION MAKING: CAN AI REPLACE HUMANS IN DECISION MAKING?Work title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-05Full publication date if available
- Authors
-
Dr.V.Muthulakshmi, Dr.S. Thilagavathi, Dr.P.Dinesh KumarList of authors in order
- Landing page
-
https://doi.org/10.36713/epra25137Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.36713/epra25137Direct OA link when available
- Concepts
-
Computer science, Transformative learning, Artificial intelligence, Applications of artificial intelligence, Data science, Cloud computing, Big data, Risk analysis (engineering), Subject (documents), Decision support system, Subject-matter expert, Key (lock), Human intelligence, Business decision mapping, Business intelligence, Management science, Decision analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7108747421 |
|---|---|
| doi | https://doi.org/10.36713/epra25137 |
| ids.doi | https://doi.org/10.36713/epra25137 |
| ids.openalex | https://openalex.org/W7108747421 |
| fwci | 0.0 |
| type | article |
| title | THE FUTURE AND CHALLENGES OF AI IN DECISION MAKING: CAN AI REPLACE HUMANS IN DECISION MAKING? |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 11 |
| biblio.first_page | 11 |
| topics[0].id | https://openalex.org/T13038 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.08941858261823654 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | Internet of Things and AI |
| topics[1].id | https://openalex.org/T14064 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.07427411526441574 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Organizational and Employee Performance |
| topics[2].id | https://openalex.org/T14222 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.04113917797803879 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Knowledge Management and Technology |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6223105788230896 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C70587473 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5697420239448547 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7834111 |
| concepts[1].display_name | Transformative learning |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4933868646621704 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C157170001 |
| concepts[3].level | 2 |
| concepts[3].score | 0.47347769141197205 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q4781507 |
| concepts[3].display_name | Applications of artificial intelligence |
| concepts[4].id | https://openalex.org/C2522767166 |
| concepts[4].level | 1 |
| concepts[4].score | 0.42921504378318787 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[4].display_name | Data science |
| concepts[5].id | https://openalex.org/C79974875 |
| concepts[5].level | 2 |
| concepts[5].score | 0.3554084599018097 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q483639 |
| concepts[5].display_name | Cloud computing |
| concepts[6].id | https://openalex.org/C75684735 |
| concepts[6].level | 2 |
| concepts[6].score | 0.3545852303504944 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[6].display_name | Big data |
| concepts[7].id | https://openalex.org/C112930515 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3534740209579468 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q4389547 |
| concepts[7].display_name | Risk analysis (engineering) |
| concepts[8].id | https://openalex.org/C2777855551 |
| concepts[8].level | 2 |
| concepts[8].score | 0.35011211037635803 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q12310021 |
| concepts[8].display_name | Subject (documents) |
| concepts[9].id | https://openalex.org/C107327155 |
| concepts[9].level | 2 |
| concepts[9].score | 0.29519978165626526 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q330268 |
| concepts[9].display_name | Decision support system |
| concepts[10].id | https://openalex.org/C105002631 |
| concepts[10].level | 3 |
| concepts[10].score | 0.2945899963378906 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q4833645 |
| concepts[10].display_name | Subject-matter expert |
| concepts[11].id | https://openalex.org/C26517878 |
| concepts[11].level | 2 |
| concepts[11].score | 0.2695155441761017 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[11].display_name | Key (lock) |
| concepts[12].id | https://openalex.org/C105409693 |
| concepts[12].level | 2 |
| concepts[12].score | 0.261965811252594 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q5937824 |
| concepts[12].display_name | Human intelligence |
| concepts[13].id | https://openalex.org/C97944126 |
| concepts[13].level | 3 |
| concepts[13].score | 0.26137396693229675 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q5001864 |
| concepts[13].display_name | Business decision mapping |
| concepts[14].id | https://openalex.org/C2767350 |
| concepts[14].level | 2 |
| concepts[14].score | 0.26062440872192383 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q6662173 |
| concepts[14].display_name | Business intelligence |
| concepts[15].id | https://openalex.org/C539667460 |
| concepts[15].level | 1 |
| concepts[15].score | 0.25787708163261414 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2414942 |
| concepts[15].display_name | Management science |
| concepts[16].id | https://openalex.org/C186116695 |
| concepts[16].level | 2 |
| concepts[16].score | 0.2545093297958374 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q5249226 |
| concepts[16].display_name | Decision analysis |
| keywords[0].id | https://openalex.org/keywords/transformative-learning |
| keywords[0].score | 0.5697420239448547 |
| keywords[0].display_name | Transformative learning |
| keywords[1].id | https://openalex.org/keywords/applications-of-artificial-intelligence |
| keywords[1].score | 0.47347769141197205 |
| keywords[1].display_name | Applications of artificial intelligence |
| keywords[2].id | https://openalex.org/keywords/cloud-computing |
| keywords[2].score | 0.3554084599018097 |
| keywords[2].display_name | Cloud computing |
| keywords[3].id | https://openalex.org/keywords/big-data |
| keywords[3].score | 0.3545852303504944 |
| keywords[3].display_name | Big data |
| keywords[4].id | https://openalex.org/keywords/subject |
| keywords[4].score | 0.35011211037635803 |
| keywords[4].display_name | Subject (documents) |
| keywords[5].id | https://openalex.org/keywords/decision-support-system |
| keywords[5].score | 0.29519978165626526 |
| keywords[5].display_name | Decision support system |
| language | |
| locations[0].id | doi:10.36713/epra25137 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210185359 |
| locations[0].source.issn | 2347-9671, 2349-0187 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2347-9671 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | EPRA International Journal of Economic and Business Review |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | EPRA International Journal of Economic and Business Review |
| locations[0].landing_page_url | https://doi.org/10.36713/epra25137 |
| indexed_in | crossref |
| authorships[0].author.id | |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Dr.V.Muthulakshmi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dr.V.Muthulakshmi |
| authorships[0].is_corresponding | True |
| authorships[1].author.id | https://openalex.org/A3190861355 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Dr.S. Thilagavathi |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dr.S.Thilagavathi |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Dr.P.Dinesh Kumar |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Dr.P.Dinesh Kumar |
| authorships[2].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.36713/epra25137 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-12-05T00:00:00 |
| display_name | THE FUTURE AND CHALLENGES OF AI IN DECISION MAKING: CAN AI REPLACE HUMANS IN DECISION MAKING? |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-06T23:10:59.065948 |
| primary_topic.id | https://openalex.org/T13038 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.08941858261823654 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | Internet of Things and AI |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.36713/epra25137 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210185359 |
| best_oa_location.source.issn | 2347-9671, 2349-0187 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2347-9671 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | EPRA International Journal of Economic and Business Review |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | EPRA International Journal of Economic and Business Review |
| best_oa_location.landing_page_url | https://doi.org/10.36713/epra25137 |
| primary_location.id | doi:10.36713/epra25137 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210185359 |
| primary_location.source.issn | 2347-9671, 2349-0187 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2347-9671 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | EPRA International Journal of Economic and Business Review |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | EPRA International Journal of Economic and Business Review |
| primary_location.landing_page_url | https://doi.org/10.36713/epra25137 |
| publication_date | 2025-12-05 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 12, 61 |
| abstract_inverted_index.AI | 4, 56, 129, 159, 174 |
| abstract_inverted_index.be | 135, 184 |
| abstract_inverted_index.by | 96 |
| abstract_inverted_index.in | 30, 121, 130, 190 |
| abstract_inverted_index.is | 5, 9, 22, 57, 66, 93, 132 |
| abstract_inverted_index.no | 58 |
| abstract_inverted_index.of | 3, 19, 27, 82, 113, 128, 149, 180 |
| abstract_inverted_index.to | 23, 48, 52, 75, 78, 134, 183 |
| abstract_inverted_index.up | 38 |
| abstract_inverted_index.Its | 104 |
| abstract_inverted_index.The | 0, 17, 125, 152 |
| abstract_inverted_index.Use | 198 |
| abstract_inverted_index.all | 154 |
| abstract_inverted_index.and | 8, 34, 41, 47, 84, 101, 108, 137, 147, 164, 205, 207 |
| abstract_inverted_index.but | 65 |
| abstract_inverted_index.can | 106, 160, 209 |
| abstract_inverted_index.era | 2 |
| abstract_inverted_index.for | 15, 45, 119, 169 |
| abstract_inverted_index.has | 176 |
| abstract_inverted_index.its | 76 |
| abstract_inverted_index.the | 25, 50, 54, 68, 122, 144, 181, 211 |
| abstract_inverted_index.way | 69 |
| abstract_inverted_index.21st | 123 |
| abstract_inverted_index.Data | 218 |
| abstract_inverted_index.Even | 172 |
| abstract_inverted_index.come | 37 |
| abstract_inverted_index.data | 83, 114 |
| abstract_inverted_index.into | 90 |
| abstract_inverted_index.just | 60 |
| abstract_inverted_index.like | 192 |
| abstract_inverted_index.more | 11, 98 |
| abstract_inverted_index.once | 10 |
| abstract_inverted_index.role | 26, 89 |
| abstract_inverted_index.set, | 219 |
| abstract_inverted_index.some | 179 |
| abstract_inverted_index.step | 189 |
| abstract_inverted_index.that | 36, 158 |
| abstract_inverted_index.this | 20 |
| abstract_inverted_index.upon | 143 |
| abstract_inverted_index.vast | 111 |
| abstract_inverted_index.when | 39 |
| abstract_inverted_index.Well- | 223 |
| abstract_inverted_index.above | 153 |
| abstract_inverted_index.cloud | 216 |
| abstract_inverted_index.crash | 127 |
| abstract_inverted_index.dream | 64 |
| abstract_inverted_index.every | 188 |
| abstract_inverted_index.fully | 162 |
| abstract_inverted_index.human | 166 |
| abstract_inverted_index.large | 80 |
| abstract_inverted_index.means | 115 |
| abstract_inverted_index.paper | 21 |
| abstract_inverted_index.terms | 204 |
| abstract_inverted_index.these | 155 |
| abstract_inverted_index.using | 187 |
| abstract_inverted_index.AI’s | 88 |
| abstract_inverted_index.across | 139 |
| abstract_inverted_index.before | 186 |
| abstract_inverted_index.future | 126 |
| abstract_inverted_index.issues | 35 |
| abstract_inverted_index.it’s | 116 |
| abstract_inverted_index.longer | 59 |
| abstract_inverted_index.making | 33, 73 |
| abstract_inverted_index.modern | 1 |
| abstract_inverted_index.points | 156 |
| abstract_inverted_index.suited | 118 |
| abstract_inverted_index.thanks | 74 |
| abstract_inverted_index.trends | 146 |
| abstract_inverted_index.Conduct | 193 |
| abstract_inverted_index.Discuss | 202 |
| abstract_inverted_index.Execute | 196 |
| abstract_inverted_index.ability | 77 |
| abstract_inverted_index.amounts | 112 |
| abstract_inverted_index.analyze | 79, 110 |
| abstract_inverted_index.current | 145 |
| abstract_inverted_index.deliver | 49 |
| abstract_inverted_index.explain | 157 |
| abstract_inverted_index.fiction | 63 |
| abstract_inverted_index.handled | 185 |
| abstract_inverted_index.ideally | 117 |
| abstract_inverted_index.making, | 221 |
| abstract_inverted_index.quickly | 107 |
| abstract_inverted_index.rapidly | 7 |
| abstract_inverted_index.restore | 165 |
| abstract_inverted_index.science | 62 |
| abstract_inverted_index.subject | 14 |
| abstract_inverted_index.though, | 173 |
| abstract_inverted_index.various | 140 |
| abstract_inverted_index.volumes | 81 |
| abstract_inverted_index.AI-based | 43 |
| abstract_inverted_index.Business | 31 |
| abstract_inverted_index.Decision | 220 |
| abstract_inverted_index.approach | 71 |
| abstract_inverted_index.automate | 163 |
| abstract_inverted_index.building | 142 |
| abstract_inverted_index.century. | 124 |
| abstract_inverted_index.contract | 203 |
| abstract_inverted_index.decision | 32, 72 |
| abstract_inverted_index.discover | 24 |
| abstract_inverted_index.enabling | 97 |
| abstract_inverted_index.expected | 133 |
| abstract_inverted_index.generate | 85 |
| abstract_inverted_index.mitigate | 210 |
| abstract_inverted_index.numerous | 177 |
| abstract_inverted_index.outcomes | 51 |
| abstract_inverted_index.retrieve | 53 |
| abstract_inverted_index.sectors, | 141 |
| abstract_inverted_index.service, | 217 |
| abstract_inverted_index.valuable | 102 |
| abstract_inverted_index.Keywords: | 213 |
| abstract_inverted_index.companies | 70 |
| abstract_inverted_index.informed, | 99 |
| abstract_inverted_index.insights. | 87 |
| abstract_inverted_index.objective | 18 |
| abstract_inverted_index.prevalent | 13 |
| abstract_inverted_index.problems. | 212 |
| abstract_inverted_index.processes | 92, 191 |
| abstract_inverted_index.protected | 199 |
| abstract_inverted_index.sometimes | 161 |
| abstract_inverted_index.utilizing | 40 |
| abstract_inverted_index.Artificial | 28, 214 |
| abstract_inverted_index.Organized. | 224 |
| abstract_inverted_index.Scrutinize | 206 |
| abstract_inverted_index.accurately | 109 |
| abstract_inverted_index.actionable | 86 |
| abstract_inverted_index.artificial | 150 |
| abstract_inverted_index.capability | 105 |
| abstract_inverted_index.decisions. | 103 |
| abstract_inverted_index.developing | 6 |
| abstract_inverted_index.diligence, | 195 |
| abstract_inverted_index.frameworks | 44 |
| abstract_inverted_index.industries | 95 |
| abstract_inverted_index.inspection | 208 |
| abstract_inverted_index.protocols, | 201 |
| abstract_inverted_index.application | 175 |
| abstract_inverted_index.challenges, | 178 |
| abstract_inverted_index.challenges. | 55 |
| abstract_inverted_index.encryption, | 197 |
| abstract_inverted_index.influencing | 42 |
| abstract_inverted_index.outstanding | 194 |
| abstract_inverted_index.precautions | 182 |
| abstract_inverted_index.Application, | 222 |
| abstract_inverted_index.Intelligence | 29 |
| abstract_inverted_index.capabilities | 148 |
| abstract_inverted_index.considerable | 136 |
| abstract_inverted_index.investigate. | 16 |
| abstract_inverted_index.lower-stakes | 170 |
| abstract_inverted_index.particularly | 168 |
| abstract_inverted_index.transforming | 94 |
| abstract_inverted_index.Intelligence, | 215 |
| abstract_inverted_index.alternatives. | 171 |
| abstract_inverted_index.communication | 200 |
| abstract_inverted_index.intelligence. | 151 |
| abstract_inverted_index.transformative | 138 |
| abstract_inverted_index.decision-making | 46, 91, 120, 131 |
| abstract_inverted_index.revolutionizing | 67 |
| abstract_inverted_index.well-organized, | 100 |
| abstract_inverted_index.decision-making, | 167 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.90839494 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |