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

Asian Journal of Advanced Research and Reports, Volume 18, Issue 2, Page 1-23, 2024

23 Pages Posted: 10 Feb 2024

See all articles by Tunboson Oyewale Oladoyinbo

Tunboson Oyewale Oladoyinbo

University of Maryland University College (UMUC)

Samuel Oladiipo Olabanji

Midcontinent Independent System Operator (MISO energy)

Oluwaseun Oladeji Olaniyi

University of the Cumberlands

Olubukola Omolara Adebiyi

Ulster University - Centre City House

Olalekan J. Okunleye

University of the Cumberlands

Adegbenga Ismaila Alao

Kwara State University

Date Written: January 13, 2024

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.

Keywords: Artificial intelligence, data integrity, social dynamics, ethical challenges, regulatory compliance, AI governance, privacy concerns, bias in AI, digital social engineering, AI policy

Suggested Citation

Oladoyinbo, Tunboson Oyewale and Olabanji, Samuel Oladiipo and Olaniyi, Oluwaseun Oladeji and Adebiyi, Olubukola Omolara and Okunleye, Olalekan J. and Ismaila Alao, Adegbenga, Exploring the Challenges of Artificial Intelligence in Data Integrity and its Influence on Social Dynamics (January 13, 2024). Asian Journal of Advanced Research and Reports, Volume 18, Issue 2, Page 1-23, 2024, Available at SSRN: https://ssrn.com/abstract=4693987

Tunboson Oyewale Oladoyinbo

University of Maryland University College (UMUC)

Samuel Oladiipo Olabanji

Midcontinent Independent System Operator (MISO energy)

Oluwaseun Oladeji Olaniyi (Contact Author)

University of the Cumberlands ( email )

6178 College Station Drive
Williamsburg, KY 40769
United States

HOME PAGE: http://www.ucumberlands.edu

Olubukola Omolara Adebiyi

Ulster University - Centre City House

Olalekan J. Okunleye

University of the Cumberlands

Adegbenga Ismaila Alao

Kwara State University

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