A bibliometric exploration of the intersection between artificial intelligence and social responsibility: evidence from scopus DOI Open Access

Abdelwahab Boubaa,

Bedj Bedj Toufik,

Dhia Smaali

et al.

Brazilian Journal of Business, Journal Year: 2024, Volume and Issue: 6(4), P. e75821 - e75821

Published: Dec. 11, 2024

Purpose. This paper aims to explore the intersection between artificial intelligence (AI) and social responsibility (SR) through a bibliometric analysis of 779 peer-reviewed articles published from 2019 2023 in Scopus database. The study employs tools such as R Studio (Bibliometrix) VOSviewer identify key trends, influential authors, research clusters within this emerging field. Results. reveals an annual growth rate 54.46%, with significant contributions prominent authors like Gupta S, Kumar A, Mehmood R, institutions Kaunas University Technology Wuhan University. keyword highlights six main clusters: use AI resource management focus on "water" "irrigation"; topics around "AI," "sustainability," "corporate SR," "ethics"; applications "policymaking" "governance"; related "energy" "investments." Despite rapid growth, gaps persist, including lack comprehensive frameworks integrate broader SR practices, well geographic disparities, dominant countries China, USA, UK, while regions Africa Middle East remain underrepresented. Scientific novelty. contributes field by identifying critical current SR, particularly absence integrated that address ethical across multiple sectors. It also need for more geographically diverse studies calls interdisciplinary approach responsibly align practices goals. Practical value. findings underscore importance fostering is not only technologically advanced but ethically grounded, especially underrepresented regions. By addressing existing encouraging research, advocates responsible development enhance globally, thus equitable sustainable future.

Language: Английский

Artificial intelligence misconduct and ESG risk ratings DOI
Abel Monfort, Mariano Méndez-Suárez, Nuria Villagra García

et al.

Review of Managerial Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Citations

0
AI-Driven Environmental Protection Through Corporate Social Responsibility (CSR) Activities DOI
Poonam Gulati,

Komal Komal,

Avichal Mahajan

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 233 - 260

Published: Jan. 31, 2025

The study is centered on the convergence of AI and corporate social responsibility (CSR) to promote environmental conservation, focusing how can bolster CSR efforts tackle issues like climate change, resource depletion, biodiversity loss. It indicates incorporating artificial intelligence into sustainability agendas transmutes way companies environmental, social, governance concerns discusses transformative potential AI-driven solutions that corporations integrate as part their strategies. This chapter explores historical development from philanthropy-focused initiatives a holistic approach includes economic, sustainability; this shift represents growing recognition businesses must address global impacts operations. primary objective explore current applications (AI) in initiatives, particularly those focused protection.

Language: Английский

Citations

0
Addressing Rights on Responsible AI in Digital Companies DOI
Cristina Gallego-Gómez, Carmen Llovet Rodríguez

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 109 - 138

Published: March 7, 2025

This study examined the top five reference companies for Generation Z, in relation to bias and responsible Artificial Intelligence (AI). Through a literature analysis on of Law 15/2022, July 12 (15917/2022), comprehensive equal treatment non-discrimination, key factors are detected determine whether or not comply from an ethical point view. The findings confirmed that all items analyzed complied with except seals algorithms officially. These results essential guide market towards more transparent business models, which helps increase trust they transmit society. offers implications, limitations future lines research, focus algorithmic literacy.

Language: Английский

Citations

0
A bibliometric exploration of the intersection between artificial intelligence and social responsibility: evidence from scopus DOI Open Access

Abdelwahab Boubaa,

Bedj Bedj Toufik,

Dhia Smaali

et al.

Brazilian Journal of Business, Journal Year: 2024, Volume and Issue: 6(4), P. e75821 - e75821

Published: Dec. 11, 2024

Purpose. This paper aims to explore the intersection between artificial intelligence (AI) and social responsibility (SR) through a bibliometric analysis of 779 peer-reviewed articles published from 2019 2023 in Scopus database. The study employs tools such as R Studio (Bibliometrix) VOSviewer identify key trends, influential authors, research clusters within this emerging field. Results. reveals an annual growth rate 54.46%, with significant contributions prominent authors like Gupta S, Kumar A, Mehmood R, institutions Kaunas University Technology Wuhan University. keyword highlights six main clusters: use AI resource management focus on "water" "irrigation"; topics around "AI," "sustainability," "corporate SR," "ethics"; applications "policymaking" "governance"; related "energy" "investments." Despite rapid growth, gaps persist, including lack comprehensive frameworks integrate broader SR practices, well geographic disparities, dominant countries China, USA, UK, while regions Africa Middle East remain underrepresented. Scientific novelty. contributes field by identifying critical current SR, particularly absence integrated that address ethical across multiple sectors. It also need for more geographically diverse studies calls interdisciplinary approach responsibly align practices goals. Practical value. findings underscore importance fostering is not only technologically advanced but ethically grounded, especially underrepresented regions. By addressing existing encouraging research, advocates responsible development enhance globally, thus equitable sustainable future.

Language: Английский

Citations

0