Ethical Concerns in Artificial Intelligence (AI): The Role of RegTech and Islamic Finance

Rabbani, Mustafa Raza; Sarea, Adel; Khan, Shahnawaz; Abdullah, Yomna

doi:10.1007/978-3-030-93464-4_38

Cited by 23 publications

(10 citation statements)

References 31 publications

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“…As AI becomes more deeply integrated into environmental monitoring, upholding ethical standards becomes paramount. Ensuring that data collection practices respect privacy concerns, adhere to ethical standards, and avoid harmful biases is crucial for the ethical deployment of AI in conservation (Rabbani et al, 2022). The development and implementation of clear ethical guidelines serve as a foundation for responsible AI use in environmental conservation (Wang et al, 2023).…”

Section: Ethical Considerations and Responsible Data Usementioning

confidence: 99%

Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

Onyebuchi Nneamaka Chisom,

Preye Winston Biu,

Aniekan Akpan Umoh

et al. 2024

World J. Adv. Res. Rev.

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The rapid increase in human activities is causing significant damage to our planet's ecosystems, necessitating innovative solutions to preserve biodiversity and counteract ecological threats. Artificial Intelligence (AI) has emerged as a transformative force, providing unparalleled capabilities for environmental monitoring and conservation. This research paper explores the applications of AI in ecosystem management, including wildlife tracking, habitat assessment, biodiversity analysis, and natural disaster prediction. AI's role in environmental monitoring and conservation includes wildlife tracking, habitat assessment, resource conservation, biodiversity analysis, and species identification. AI algorithms analyze camera trap footage, drone imagery, and GPS data to identify and estimate population sizes, leading to improved anti-poaching efforts and enhanced protection of diverse species. Habitat assessment and resource conservation involve AI-powered image analysis, which aids in assessing forest health, detecting deforestation, and identifying areas in need of restoration. Biodiversity analysis and species identification are achieved through AI algorithms that analyze acoustic recordings, environmental DNA (eDNA), and camera trap footage. These innovations identify different species, assess biodiversity levels, and even discover new or endangered species. AI-powered flood prediction systems provide early warnings, empowering communities with better preparedness and evacuation efforts. Challenges, such as data quality and availability, algorithmic bias, and infrastructure limitations, are acknowledged as opportunities for growth and improvement. In policy and regulation, the paper advocates for clear frameworks prioritizing data privacy and security, algorithmic transparency, and equitable access. Responsible development and ethical use of AI are emphasized as foundational pillars, ensuring that the integration of AI into environmental conservation aligns with principles of fairness, transparency, and societal benefit.

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Section: Ethical Considerations and Responsible Data Usementioning

confidence: 99%

Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

Onyebuchi Nneamaka Chisom,

Preye Winston Biu,

Aniekan Akpan Umoh

et al. 2024

World J. Adv. Res. Rev.

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“…explored the benefits of AI in the Islamic finance sector, including cost reduction, increased transparency, and customization for modern customers. Rabbani et al (2022) explored the ethical issues surrounding the use of Artificial Intelligence (AI) in the banking and finance industry, and proposed solutions based on Shariah principles. Khan & Rabbani (2020) proposed an AI-based interactive chatbot, called CaIFE, as an expert on Islamic finance and banking.…”

Section: Cluster 1: Ai In Islamic Financementioning

confidence: 99%

Artificial Intelligence (AI) in the Financial Sector

Riani

2024

DER

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This study aims to see the development of research on the topic of "AI on Finance" and research plans that can be carried out based on journals published on the theme. This research uses qualitative method with bibliometric analysis approach. The data used is secondary data with the theme "AI on Finance" which comes from the Dimension database with a total of 127 journal articles. Then, the data is processed and analyzed using the VosViewer application with the aim of knowing the bibliometric map of research development "AI on Finance" in the world. The results of the study found that in bibliometric author mapping the authors who published the most research with the theme "AI on Finance" were Bhattacharjee A; Al-Gasaymeh A.S; Arakpogun E.O; Wang X; Sharma S; Arner D.W; Yang J; Krishna S.H; Khan S; Singh R; Bansal R; Raffinetti E; and Marwala T. Furthermore, based on bibliometric keyword mapping, there are 5 clusters with the most used words are development; challenge, accounting, opportunity, economy, blockchain, and use. Then, the research path topics related to AI on Finance are AI in Islamic Finance, Enterprise AI Development in Finance, AI in Behavioral Finance, Green Finance and AI, and AI Access in Accounting.

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“…With these developments, the financial ecosystem will change in a way that better serves the particular requirements of the Islamic finance sector and is more open and accessible. To guarantee that new technologies are adopted responsibly and sustainably, the sector must likewise address issues with cybersecurity and data protection Rabbani et al 2022a). Subsequently, the Islamic finance industry's use of information technology is anticipated to be defined by a continuous emphasis on innovation and digital transformation, with a focus on providing services that are Shariah-compliant, accessible, and secure.…”

Section: Cluster 2: "Information Technology and Future Financial Isla...mentioning

confidence: 99%

Islamic Finance in the Era of Financial Technology: A Bibliometric Review of Future Trends

Qudah,

Malahim,

Airout

et al. 2023

IJFS

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This study focused on a current study on Islamic finance and financial technology as well as prospective topics for future research. As a bibliometric and visualization tool for the Web of Science core collection database and viewer-based literature, 918 papers dealing with Islamic finance and financial technology authored between 1999 and 2022 were analyzed. Cluster analysis, all-keyword co-occurrence analysis, and bibliographic coupling mapping are all investigated in the study. This research enables us to propose future research paths that may be useful in reflecting on the significant impact that technology will have on the growth of Islamic finance and financial technology. The survey discovered four main research trends: the first trend shown is “Financial Inclusion and Corporate Governance in Islamic Fintech”. The second trend focuses on “information technology and future financial Islamic services”. The third trend is “The Transformation of Islamic Finance: How Fintech is Changing the Game”. The fourth trend is related to “Islamic Finance: A Growing Force in the Digital Age”. This study provides a comprehensive analysis of research trends at the intersection of Islamic finance and financial technology, identifying future research directions.

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Ethical Concerns in Artificial Intelligence (AI): The Role of RegTech and Islamic Finance

Cited by 23 publications

References 31 publications

Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

Artificial Intelligence (AI) in the Financial Sector

Islamic Finance in the Era of Financial Technology: A Bibliometric Review of Future Trends

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