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Cited by 105Ethics and Social Impacts of AIDigitalization, Law, and RegulationArtificial Intelligence Applications

Exploring the Challenges of Artificial Intelligence in Data Integrity and its Influence on Social Dynamics

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Oladoyinbo, Tunbosun Oyewale, Olabanji, Samuel Oladiipo, Olaniyi, Oluwaseun Oladeji, Adebiyi, Olubukola Omolara, Okunleye, Olalekan Jamiu, Alao, Adegbenga Ismaila·2024·Asian Journal of Advanced Research and Reports
DOI 10.9734/ajarr/2024/v18i2601
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Abstract

This study examines the ethical challenges and regulatory dynamics of Artificial Intelligence (AI) in relation to data integrity and its influence on social dynamics. Employing a cross-sectional survey approach, primary data was collected from 650 AI practitioners across various sectors, encompassing developers, data scientists, ethicists, and policymakers. The study investigated the correlations between regulatory compliance, ethical awareness, professional training, and experience in AI practice with the effectiveness of AI implementation and data integrity. The findings revealed a strong positive correlation between higher levels of regulatory compliance and perceived effectiveness in AI implementation, as well as between AI ethics awareness and data integrity assurance. Moreover, a significant relationship was observed between professional training in AI and its positive impact on social dynamics. However, experience in the AI field, while positively correlated, showed a weaker link to data integrity, indicating that experience alone is insufficient for ensuring effective AI practices. The study highlights the importance of ethical considerations, regulatory frameworks, and professional training in shaping AI development and its societal implications. The need for dynamic, adaptable, and inclusive regulatory frameworks that can align AI practices with societal values and ethical norms is emphasized. Future research directions include exploring AI ethics and regulation in diverse cultural contexts and the impact of emerging technologies like quantum computing on AI ethics.

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  • AI-driven marketing brings efficiency and personalization, but at the cost of fragmenting the collective experience and potentially narrowing personal horizons.

    “It brings efficiency and personalization, but at the cost of fragmenting the collective experience and potentially narrowing personal horizons (Owolabi et al., 2024;Osasona et al., 2024;Oladoyinbo et al., 2024;Noranee & bin Othman, 2023).”

    From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Oladoyinbo et al., 2024

    Section 2.2 links AI-driven personalized marketing with business efficiency. Section 2.7 says AI-curated social media and news can limit information diversity and increase social fragmentation, but it does not establish those effects as a cost of AI-driven marketing specifically. Page numbers are unavailable in our copy. (LLM, conf=0.85)

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References 51 · Cited by 105

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  1. Nishant R, Kennedy M, Corbett J. Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management. 2020;53(53):102104. DOI:https://doi.org/10.1016/j.ijinfomgt.2020 .102104 · DOI · Paper page
  2. Winter JS, Davidson E. Big data governance of personal health information and challenges to contextual integrity. The Information Society. 2018;35(1):36-51. DOI:https://doi.org/10.1080/01972243.201 8.1542648 · DOI
  3. Richey RG, Chowdhury S, Davis-Sramek B, Giannakis M, Dwivedi YK. Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics. 2023;44(4):532-549. DOI: https://doi.org/10.1111/jbl.12364 · DOI · Paper page
  4. Bistron M, Piotrowski Z. Artificial intelligence applications in military systems and their influence on sense of security of citizens. Electronics. 2021;10(7):871. DOI:https://doi.org/10.3390/electronics100 70871 · DOI · Paper page
  5. Zajko M. Artificial intelligence, algorithms, and social inequality: Sociological contributions to contemporary debates. Sociology Compass. 2022;16(3). DOI: https://doi.org/10.1111/soc4.12962 · DOI
  6. Edwards SD. The heartmath coherence model: Implications and challenges for artificial intelligence and robotics. AI & SOCIETY. 2018;34(4):899-905. DOI: https://doi.org/10.1007/s00146-018- 0834-8 · DOI · Paper page
  7. Valle-Cruz D, Criado JI, Sandoval- Almazán R, Ruvalcaba-Gomez EA. Assessing the public policy-cycle framework in the age of artificial intelligence: from agenda-setting to policy evaluation. Government Information Quarterly. 2020;37(4):101509. DOI:https://doi.org/10.1016/j.giq.2020.1015 · DOI
  8. Rane N. Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering. Social Science Research Network; 2023. DOI: https://doi.org/10.2139/ssrn.4607767 · DOI
  9. Rane N. Integrating leading-edge artificial intelligence (AI), internet of things (IOT), and big data technologies for smart and sustainable architecture, engineering and construction (AEC) industry: Challenges and future directions. Social Science Research Network; 2023. DOI: https://doi.org/10.2139/ssrn.4616049 · DOI
  10. Deiva Ganesh A, Kalpana P. Future of artificial intelligence and its influence on supply chain risk management -A systematic review. Computers & Industrial Engineering. 2022;169(169):108206. DOI:https://doi.org/10.1016/j.cie.2022.1082 06 · DOI
  11. Nguyen MT, Tran MQ. Balancing security and privacy in the digital age: An in-depth analysis of legal and regulatory frameworks impacting cybersecurity practices. International Journal of Intelligent Automation and Computing. 2023;6(5):1-12. Available:https://research.tensorgate.org/in dex.php/IJIAC/article/view/61
  12. Ali SS, Choi BJ. State-of-the-art artificial intelligence techniques for distributed smart grids: A review. Electronics. 2020;9(6):1030. DOI:https://doi.org/10.3390/electronics906 1030 · DOI
  13. Di Vaio A, Palladino R, Hassan R, Escobar O. Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research. 2020;121(1):283-314. DOI:https://doi.org/10.1016/j.jbusres.2020. 08.019 · DOI
  14. Yigitcanlar T, Desouza KC, Butler L, Roozkhosh F. Contributions and risks of artificial intelligence (ai) in building smarter cities: Insights from a systematic review of the literature. Energies. 2020;13(6):1473. DOI : https://doi.org/10.3390/en13061473 · DOI · Paper page
  15. Landon-Murray M, Mujkic E, Nussbaum B. Disinformation in contemporary U.S. foreign policy: Impacts and ethics in an era of fake news, social media, and artificial intelligence. Public Integrity. 2019 ;21 (5):1-11. DOI:https://doi.org/10.1080/10999922.201 9.1613832 · DOI
  16. Mijwil MM, Hiran KK, Doshi R, Dadhich M, Al-Mistarehi AH, Bala I. Chat gpt and the future of academic integrity in the artificial intelligence era: A new frontier. Al-Salam Journal for Engineering and Technology. 2023;2(2):116-127. DOI:https://doi.org/10.55145/ajest.2023.02. 02.015 · DOI
  17. Zhuo M, Liu L, Zhou S, Tian Z. Survey on security issues of routing and anomaly detection for space information networks. Scientific Reports. 2021;11(1). DOI: https://doi.org/10.1038/s41598-021- 01638-z · DOI
  18. Munoko I, Brown-Liburd HL, Vasarhelyi M. The Ethical Implications of Using Artificial Intelligence in Auditing. Journal of Business Ethics. 2020;167(2):209-234. DOI: https://doi.org/10.1007/s10551-019- 04407-1 · DOI
  19. Olaniyi OO. Best practices to encourage girls' education in maiha local government area of adamawa state in Nigeria. The University of Arkansas Clinton School of Public Service (Research Gate); 2022. DOI:https://doi.org/10.13140/RG.2.2.26144 .25606 · DOI
  20. Oladoyinbo TO, Adebiyi OO, Ugonnia JC, Olaniyi OO, Okunleye OJ. Evaluating and Establishing Baseline Security Requirements in Cloud Computing: An Enterprise Risk Management Approach. Asian Journal of Economics, Business and Accounting. 2023;23(21):222- 231. DOI:https://doi.org/10.9734/ajeba/2023/v23 i211129 · DOI
  21. Olagbaju OO, Olaniyi OO. Explicit and differentiated phonics instruction on pupils' literacy skills in gambian lower basic schools. Asian Journal of Education and Social Studies. 2023;44(2):20-30. DOI:https://doi.org/10.9734/ajess/2023/v44 i2958 · DOI
  22. Olaniyi OO, Okunleye OJ, Olabanji SO, Asonze CU, Ajayi SA. Iot security in the era of ubiquitous computing: A multidisciplinary approach to addressing vulnerabilities and promoting resilience. Asian Journal of Research in Computer Science. 2023;16(4):354-371. DOI:https://doi.org/10.9734/ajrcos/2023/v1 6i4397 · DOI
  23. Omogoroye OO, Olaniyi OO, Adebiyi OO, Oladoyinbo TO, Olaniyi FG. Electricity Consumption (kW) Forecast for a Building of Interest Based on a Time Series Nonlinear Regression Model. Asian Journal of Economics, Business and Accounting. 2023;23(21):197-207. DOI:https://doi.org/10.9734/ajeba/2023/v23 i211127 · DOI
  24. Olaniyi OO, Olaoye OO, Okunleye OJ. Effects of information governance (IG) on profitability in the nigerian banking sector. Asian Journal of Economics, Business and Accounting. 2023;23(18):22-35. DOI:https://doi.org/10.9734/ajeba/2023/v23 i181055 · DOI
  25. Roberts H, Cowls J, Hine E, Morley J, Wang V, Taddeo M, Floridi L. Governing artificial intelligence in China and the European Union: Comparing aims and promoting ethical outcomes. The Information Society. 2023;39(2):79-97. DOI:https://doi.org/10.1080/01972243.202 2.2124565 · DOI
  26. Olaniyi OO, Okunleye OJ, Olabanji SO. Advancing data-driven decision-making in smart cities through big data analytics: A comprehensive review of existing literature. Current Journal of Applied Science and Technology. 2023;42(25):10- 18. DOI:https://doi.org/10.9734/cjast/2023/v42i 254181 · DOI
  27. Olaniyi OO, Omubo DS. Whatsapp data policy, data security, and users' vulnerability. The International Journal of Innovative Research & Development; 2023. DOI:https://doi.org/10.24940/ijird/2023/v12/ i4/APR23021 · DOI
  28. Olaniyi OO, Shah NH, Bahuguna N. Quantitative analysis and comparative review of dividend policy dynamics within the banking sector: Insights from global and U.S. financial data and existing literature. Asian Journal of Economics, Business and Accounting. 2023;23 (23):179-199. DOI:https://doi.org/10.9734/ajeba/2023/v23 i231180 · DOI
  29. Bhima B, Zahra ARA, Nurtino T, Firli MZ. Enhancing organizational efficiency through the integration of artificial intelligence in management information systems. APTISI Transactions on Management. 2023;7(3):282-289. DOI :https://doi.org/10.33050/atm.v7i3.214 · DOI
  30. Olaniyi OO, Omubo DS. The Importance of COSO Framework Compliance in Information Technology Auditing and Enterprise Resource Management. The International Journal of Innovative Research & Development; 2023. DOI :https://doi.org/10.24940/ijird/2023/v12 /i5/MAY23001 · DOI
  31. Burton J, Soare SR. Understanding the strategic implications of the weaponization of artificial intelligence. 2019 11th International Conference on Cyber Conflict (CyCon). 2019;1342(1028). DOI: https://doi.org/10.23919/cycon.2019.87568 · DOI
  32. El Hajj M, Hammoud J. Unveiling the influence of artificial intelligence and machine learning on financial markets: a comprehensive analysis of ai applications in trading, risk management, and financial operations. Journal of Risk and Financial Management. 2023;16(10):434. DOI: https://doi.org/10.3390/jrfm16100434 · DOI
  33. Olaniyi OO, Asonze CU, Ajayi SA, Olabanji SO, Adigwe CS. A regressional study on the impact of organizational security culture and transformational leadership on social engineering awareness among bank employees: The interplay of security education and behavioral change. Asian Journal of Economics, Business and Accounting. 2023;23(23);128-143. DOI:https://doi.org/10.9734/ajeba/2023/v23 i231176 · DOI
  34. Steels L, Lopez de Mantaras R. The Barcelona declaration for the proper development and usage of artificial intelligence in Europe. AI Communications. 2018;31(6):485-494. DOI: https://doi.org/10.3233/aic-180607 · DOI
  35. Olaniyi OO, Abalaka AI, Olabanji SO. Utilizing big data analytics and business intelligence for improved decision-making at leading fortune company. Journal of Scientific Research and Reports. 2023; 29(9):64-72. https://doi.org/10.9734/jsrr/2023/v29i91785 · DOI
  36. Ali M, Abdel-Haq MK. Bibliographical analysis of artificial intelligence learning in higher education: is the role of the human educator and educated a thing of the past? Fostering Communication and Learning with Underutilized Technologies in Higher Education; 2021. Available:https://www.igi- global.com/chapter/bibliographical- analysis-of-artificial-intelligence-learning- in-higher-education/262720
  37. Olaniyi FG, Olaniyi OO, Adigwe CS, Abalaka AI, Shah NH. Harnessing predictive analytics for strategic foresight: a comprehensive review of techniques and applications in transforming raw data to actionable insights. Asian Journal of Economics, Business and Accounting. 2023;23(22):441-459. DOI:https://doi.org/10.9734/ajeba/2023/v23 i221164 · DOI
  38. Olaniyi OO, Olabanji SO, Abalaka AI. Navigating risk in the modern business landscape: strategies and insights for enterprise risk management implementation. Journal of Scientific Research and Reports. 2023;29(9):103- 109. DOI:https://doi.org/10.9734/jsrr/2023/v29i9 1789 · DOI
  39. Krisztina Karsai, Adem Sözüer, Liane Wörner (Eds.). Istanbul; 2022. DOI:http://dx.doi.org/10.2139/ssrn.423877 · DOI
  40. Olaniyi OO, Olabanji SO, Okunleye OJ. Exploring the landscape of decentralized autonomous organizations: a comprehensive review of blockchain initiatives. Journal of Scientific Research and Reports. 2023;29(9):73-81. DOI:https://doi.org/10.9734/jsrr/2023/v29i9 1786 · DOI
  41. Corvalán JG. Digital and intelligent public administration: transformations in the era of artificial intelligence. A&c -Revista de Direito Administrativo & Constitucional. 2018;18(71):55-87. DOI:https://doi.org/10.21056/aec.v18i71.85 · DOI
  42. Shen X, Lu Y, Zhang Y, Liu X, Zhang L. An innovative data integrity verification scheme in the internet of things assisted information exchange in transportation systems. Cluster Computing. 2022;25(3):1791-1803. DOI: https://doi.org/10.1007/s10586-021- 03471-5 · DOI
  43. Starke C, Lünich M. Artificial intelligence for political decision-making in the european union: effects on citizens' perceptions of input, throughput, and output legitimacy. Data & Policy. 2020; 2:e16. DOI: https://doi.org/10.1017/dap.2020.19 · DOI · Paper page
  44. George B, Wooden O. Managing the strategic transformation of higher education through artificial intelligence. Administrative Sciences. 2023;13(9):196. DOI:https://doi.org/10.3390/admsci130901 96 · DOI
  45. Iphofen R, Kritikos M. Regulating artificial intelligence and robotics: ethics by design in a digital society. Contemporary Social Science. 2019;2172(1254):1-15. DOI: https://doi.org/10.1080/21582041.2018.156 3803 · DOI
  46. Marinucci L, Mazzuca C, Gangemi A. Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender. AI & SOCIETY. 2022;2398:1267. DOI: https://doi.org/10.1007/s00146-022- 01474-3 · DOI
  47. Asatiani A, Malo P, Nagbøl P, Penttinen E, Rinta-Kahila T, Salovaara A. Sociotechnical envelopment of artificial intelligence: An approach to organizational deployment of inscrutable artificial intelligence systems. Journal of the Association for Information Systems. 2021; 22(2). DOI: https://doi.org/10.17705/1jais.00664 · DOI
  48. Akintande OJ. Algorithm fairness through data inclusion, participation, and reciprocity. in database systems for advanced applications: 26th international conference, dasfaa 2021, taipei, taiwan, april 11-14, 2021, proceedings, part iii. Springer International Publishing. 2021;26: 633-637 DOI: https://doi.org/10.1007/978-3-030- 73200-4_50 · DOI
  49. Panhwer YA, Salleh M. Data integrity schemes for outsourced data on untrusted cloud storage: A review. International Journal of Innovative Computing. 2018;8(2). DOI: https://doi.org/10.11113/ijic.v8n2.154 · DOI
  50. Nemorin S, Vlachidis A, Ayerakwa HM, Andriotis P. Ai hyped? a horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology. 2022;48(1):1-14. DOI:https://doi.org/10.1080/17439884.202 2.2095568 · DOI · Paper page
  51. Chen YNK, Wen CHR. Impacts of attitudes toward government and corporations on public trust in artificial intelligence. Communication Studies. 2020;1274(2135):1-17. DOI:https://doi.org/10.1080/10510974.202 0.1807380 · DOI
  52. Mohammadi M, Abdollah Kavousi-Fard, Dehghani M, Karimi M, Loia V, Hassan Haes Alhelou, Siano P. Reinforcing Data Integrity in Renewable Hybrid AC-DC Microgrids from Social-Economic Perspectives. ACM Transactions on Sensor Networks. 2023;19(2):1-19. DOI: https://doi.org/10.1145/3512891 · DOI
  53. Haluza D, Jungwirth D. Artificial intelligence and ten societal megatrends: an exploratory study using GPT-3. Systems. 2023;11(3):120. DOI:https://doi.org/10.3390/systems11030 120 · DOI
  54. Sattari F, Lefsrud L, Kurian D, Macciotta R. A theoretical framework for data-driven artificial intelligence decision making for enhancing the asset integrity management system in the oil & gas sector. Journal of Loss Prevention in the Process Industries. 2022;74(1023):104648. DOI:https://doi.org/10.1016/j.jlp.2021.1046 48 · DOI
  55. Weiler S, Matt C, Hess T. Understanding user uncertainty during the implementation of self-service business intelligence: a thematic analysis. Hawaii International Conference on System Sciences (HICSS- 52). 2019;2134(1824). Available: https://aisel.aisnet.org/hicss- 52/os/org_issues_in_business_intelligence /5/
  56. Cui TH, Ghose A, Halaburda H, Iyengar R, Koen Pauwels, Sriram S, Tucker CE, Venkataraman S. Omnichannel marketing: The challenge of data-integrity; 2019. Available: Papers.ssrn.com. https://papers.ssrn.com/sol3/papers.cfm?a bstract_id=3460580
  57. Bokhari SAA, Myeong S. The influence of artificial intelligence on e-governance and cybersecurity in smart cities: a stakeholder's perspective. IEEE Access. 2023;11(1243):69783-69797. DOI:https://doi.org/10.1109/ACCESS.2023 .3293480 · DOI
  58. Abalaka AI, Olaniyi OO, Adebiy OO. Understanding and overcoming the limitations to strategy execution in hotels within the small and medium enterprises sector. Asian Journal of Economics, Business and Accounting. 2023;23(22):26- 36. DOI:https://doi.org/10.9734/ajeba/2023/v23 i221134 · DOI
  59. Adebiyi OO, Olabanji SO, Olaniyi OO. Promoting inclusive accounting education through the integration of stem principles for a diverse classroom. Asian Journal of Education and Social Studies. 2023;49(4): 152-171. DOI:https://doi.org/10.9734/ajess/2023/v49 i41196 · DOI
  60. Adigwe CS, Abalaka AI, Olaniyi OO, Adebiyi OO, Oladoyinbo TO. Critical analysis of innovative leadership through effective data analytics: exploring trends in business analysis, finance, marketing, and information technology. Asian Journal of Economics, Business and Accounting. 2023;23 (22):460-479. DOI:https://doi.org/10.9734/ajeba/2023/v23 i221165 · DOI
  61. Quadri FU, Olaniyi OO, Olaoye OO. Interplay of islam and economic growth: unveiling the long-run dynamics in muslim and non-muslim countries. Asian Journal of Education and Social Studies. 2023; 49(4):483-498. DOI:https://doi.org/10.9734/ajess/2023/v49 i41226 · DOI
  62. Ajayi ND, Ajayi SA, Boyi JO, Olaniyi OO. Understanding the chemistry of nitrene and highlighting its remarkable catalytic capabilities as a non-heme iron enzyme. Asian Journal of Chemical Sciences. 2024; 14(1):1-18. DOI:https://doi.org/10.9734/ajocs/2024/v14 i1280 68. · DOI
  63. Olagbaju OO, Babalola RO, Olaniyi OO. Code alternation in english as a second language classroom: a communication and learning strategy. Nova Science; 2023. DOI: https://doi.org/10.52305/YLHJ5878 · DOI
  64. Tagde P, Tagde S, Bhattacharya T, Tagde P, Chopra H, Akter R, Kaushik D, Rahman Md H. Blockchain and artificial intelligence technology in e-health. Environmental Science and Pollution Research. 2021; 28(38):52810-52831. DOI: https://doi.org/10.1007/s11356-021- 16223-0 · DOI · Paper page

Authors
Oladoyinbo, T. O., Olabanji, S. O., Olaniyi, O. O., Adebiyi, O. O., Okunleye, O. J., & Alao, A. I.
Affiliations
  • University of Maryland Global Campus (US)
  • University of the Cumberlands (US)
  • Kwara State University (NG)
ORCID
Venue
Asian Journal of Advanced Research and Reports
Publisher
Sciencedomain International
Published
2024-01-13
Volume
18
Issue
2
Pages
1-23
ISSN
2582-3248 (ISSN-L)
DOI
10.9734/ajarr/2024/v18i2601
OpenAlex
W4390839437
Cited by
105
References
51
Citations by year
2026: 10 · 2025: 47 · 2024: 47 · 2023: 1
FWCI
43.30
Type
journal article
Language
en
Open access
Locations
  • Asian Journal of Advanced Research and Reports (publishedVersion)
  • Asian Journal of Advanced Research and Reports (publishedVersion, cc-by)
  • HAL (submittedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
AI ethics, data integrity, AI regulation, regulatory compliance, AI ethics awareness, AI practitioners, social dynamics

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