PRIVASI DATA DAN TRANSPARANSI: TANTANGAN ETIS DALAM PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DI BIDANG AKUNTANSI

This study aims to examine the ethical challenges and implications of using Artificial Intelligence (AI) in accounting practices, with a particular focus on issues related to data privacy, decision-making transparency, and algorithmic bias, as well as the potential disruption of traditional accounting roles by AI. The methodology employed is a systematic literature review of various academic sources and relevant publications that discuss the ethical aspects of AI implementation in accounting. The results of the study indicate that while AI offers several benefits, such as increased efficiency and accuracy, it also presents significant ethical challenges. These challenges include the risk of data privacy breaches, a lack of transparency in AI-supported decision-making processes, and potential biases in algorithms that could lead to unfair practices in accounting. Moreover, the traditional role of accountants is increasingly threatened by AI-driven automation, which may fundamentally alter the dynamics of work in the accounting field. In conclusion, although AI holds great potential for enhancing accounting practices, it is crucial for professionals and policymakers to address and mitigate the emerging ethical challenges. This approach ensures that AI integration into accounting is conducted responsibly and in alignment with professional ethical principles.

Authors

Publication Details

Journal
Smart GOALS Jurnal Bisnis Digital Dan Manajemen
Published
2024-09-14
DOI
https://doi.org/10.36490/sg.v1i1.1330
Citations
4
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
3.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PRIVASI DATA DAN TRANSPARANSI: TANTANGAN ETIS DALAM PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DI BIDANG AKUNTANSI

Uswatun Hasanah
4 citations
Smart GOALS Jurnal Bisnis Digital Dan Manajemen
Blockchain Technology in Education and Learning
3.12
article

PRIVASI DATA DAN TRANSPARANSI: TANTANGAN ETIS DALAM PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DI BIDANG AKUNTANSI

Uswatun Hasanah
article en
4 citations

Abstract

This study aims to examine the ethical challenges and implications of using Artificial Intelligence (AI) in accounting practices, with a particular focus on issues related to data privacy, decision-making transparency, and algorithmic bias, as well as the potential disruption of traditional accounting roles by AI. The methodology employed is a systematic literature review of various academic sources and relevant publications that discuss the ethical aspects of AI implementation in accounting. The results of the study indicate that while AI offers several benefits, such as increased efficiency and accuracy, it also presents significant ethical challenges. These challenges include the risk of data privacy breaches, a lack of transparency in AI-supported decision-making processes, and potential biases in algorithms that could lead to unfair practices in accounting. Moreover, the traditional role of accountants is increasingly threatened by AI-driven automation, which may fundamentally alter the dynamics of work in the accounting field. In conclusion, although AI holds great potential for enhancing accounting practices, it is crucial for professionals and policymakers to address and mitigate the emerging ethical challenges. This approach ensures that AI integration into accounting is conducted responsibly and in alignment with professional ethical principles.

Smart GOALS Jurnal Bisnis Digital Dan ManajemenVol. 1(1)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Blockchain Technology in Education and Learning
3.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.