Integration of Artificial Intelligence Into the Blockchain and Cryptocurrency Market

MANDYCH, Oleksandra; STAVERSKA, Tetiana; MALIY, Olena

doi:10.31891/mdes/2023-10-8

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Accountability risks arise from uncertainties regarding responsibility for AI-driven decisions, complicating assigning accountability for errors, biases, or unethical conduct and complying with legal and regulatory requirements. Bias risks stem from AI algorithms inheriting biases from training data, potentially resulting in biased outcomes, discriminatory practices, reputational damage, and unintentional consequences such as perpetuating inequalities or disadvantaging certain groups (Mandych, Staverska, & Maliy, 2023).…”

Section: Potential Risks Of Ai Adoption In Financial Decision-makingmentioning

confidence: 99%

Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making

Owolabi,

Uche,

Adeniken

et al. 2024

CIS

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The integration of artificial intelligence (AI) into the financial sector has raised ethical concerns that need to be addressed. This paper analyzes the ethical implications of using AI in financial decision-making and emphasizes the importance of an ethical framework to ensure its fair and trustworthy deployment. The study explores various ethical considerations, including the need to address algorithmic bias, promote transparency and explainability in AI systems, and adhere to regulations that protect equity, accountability, and public trust. By synthesizing research and empirical evidence, the paper highlights the complex relationship between AI innovation and ethical integrity in finance. To tackle this issue, the paper proposes a comprehensive and actionable ethical framework that advocates for clear guidelines, governance structures, regular audits, and collaboration among stakeholders. This framework aims to maximize the potential of AI while minimizing negative impacts and unintended consequences. The study serves as a valuable resource for policymakers, industry professionals, researchers, and other stakeholders, facilitating informed discussions, evidence-based decision-making, and the development of best practices for responsible AI integration in the financial sector. The ultimate goal is to ensure fairness, transparency, and accountability while reaping the benefits of AI for both the financial sector and society.

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Section: Potential Risks Of Ai Adoption In Financial Decision-makingmentioning

confidence: 99%

Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making

Owolabi,

Uche,

Adeniken

et al. 2024

CIS

View full text Add to dashboard Cite

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Artificial intelligence and the quality of accounting information in Palestinian industrial companies

Awwad,

Alkababji,

Razia

2024

JFRA

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Purpose This study aims to identify the impact of adopting different techniques of artificial intelligence including (expert systems, machine learning, neural networks and algorithms) in improving the quality of accounting information characteristics such as; appropriateness, faithful representation and verifiability in Palestinian industrial enterprises. Design/methodology/approach Employees from 13 companies registered on the Palestine Stock Exchange for 2023 were selected. Moreover, the sample included 326 randomly chosen participants. A questionnaire was distributed to participants to collect data, and a descriptive-analytical approach was followed to achieve the study’s aim and examine its hypotheses. Findings The results showed that the use of artificial intelligence techniques (expert systems, machine learning, neural networks and algorithms) has a positive effect on improving the quality of accounting information characteristics (relevance, faithful representation and verifiability). Expert systems, neural network applications and algorithms contribute to developing solutions to various problems in industrial companies; discovering fraudulent practices in financial statements; and obtaining more accurate, faster and more reliable results. Machine learning also links the company’s systems together simultaneously and in an integrated and effective manner. Research limitations/implications The research relied on the industrial sector only because expanding society is difficult due to the general conditions in Palestine, and the results may vary between different sectors due to the nature of their work and activity. Practical implications Industrial companies’ efforts to benefit from artificial intelligence applications in their work increase the quality of accounting information, which in turn reflects the company’s real situation and helps in making the necessary decisions efficiently and effectively. Originality/value This study contributes to directing the attention of financiers and accountants working in Palestinian industrial companies to the importance of applying artificial intelligence techniques to ensure the highest quality characteristics of accounting information through the preparation of accounting programmes that rely on artificial intelligence to operate, thus achieving the maximum degree of advantage in compiling financial data from its sources, operation and conversion into useful financial information for its users.

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Integration of Artificial Intelligence Into the Blockchain and Cryptocurrency Market

Cited by 2 publications

References 12 publications

Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making

Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making

Artificial intelligence and the quality of accounting information in Palestinian industrial companies

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