Ethical Implications of AI in Accounting
Even though AI presents multiple benefits in accounting and has been widely adopted, there are various ethical implications attached to its use.


The evolution of artificial intelligence (AI) has significantly influenced all aspects of human life, such as business, education, law, accounting and many more. AI technology has enabled individuals and organizations to handle huge chunks of data within the shortest time, computerize repetitive and tedious tasks and hasten the decision-making approach.
These are among the benefits that accounting firms derive from the technology. Many accounting organizations are using AI in their daily operations. Even though AI presents multiple benefits in accounting and has been widely adopted, there are various ethical implications attached to its use, including the likelihood of bias, data privacy and security concerns, and transparency and accountability issues.
Bias and fairness concerns
Accounting firms that use AI will likely experience bias and fairness concerns. AI has been designed to learn and interpret information based on the targeted task. To achieve this, it uses dataset algorithms, often based on expert knowledge or the organizations' past reports and data to execute the desired functions. The information has human involvement, and there are possibilities that the data presented to the system might be subjective or biased. The consequences include distorted outputs, which might mislead the organization and result in undesired results. In response, firms should strive to ensure fairness in training datasets and the decision-making process to help eliminate bias.

Sign up for Kiplinger’s Free E-Newsletters
Profit and prosper with the best of expert advice on investing, taxes, retirement, personal finance and more - straight to your e-mail.
Profit and prosper with the best of expert advice - straight to your e-mail.
Data privacy and security uncertainties
Another ethical implication of AI use in accounting is uncertainties in data privacy and security. Accounting entails handling sensitive data that is often highly confidential. When using AI, accounting professionals must provide key datasets that might contain sensitive information. Most databases are prone to hacking and unauthorized access, or users may interfere with confidential financial information. For example, the Equifax data breach exposed the confidential information of close to 147 million clients. When security concerns arise, the organization or institution may experience adverse consequences, such as lawsuits, a distorted reputation and losing important information and clients. As a result, institutions or people who use AI should critically safeguard their privacy and security, using methods such as installing encryptions, access controls and strong data protection policies and regulations.
Transparency and accountability issues
Moreover, accounting firms may encounter transparency and accountability issues when using AI in their operations. Accounting requires accuracy, openness and clarity regarding how the system derives conclusions and decisions. However, there might be instances when institutions use black-box AI, making it challenging for the other end users to follow the decision-making process. As a result, the users may question the fairness and validity of the financial or auditing results generated by AI.
Besides this, there are cases where the algorithm datasets used in accounting are complex, such as when various data sources and variables are used. As a result, it would require the users to have specialized knowledge to analyze and interpret the output, which some stakeholders might not have. Therefore, AI use in accounting raises various ethical concerns regarding transparency and accountability.
In conclusion, despite AI presenting various benefits in accounting, there are ethical implications related to its use. The major ethical implications discussed here include bias, privacy concerns and transparency and accountability issues. There are times when the datasets may be biased and provide inaccurate outcomes. Institutions must also provide sensitive information to the AI databases for quality output, risking hijacking or unauthorized access. Accounting institutions should consider these ethical implications to derive maximum benefits from AI and limit the likelihood of negative outcomes.
Related Content
- AI Has Powerful Potential to Make Investing Decisions Easier
- We Don’t Have to Let AI Win
- The Crucial Role of Soft Skills in Accounting in the AI Era
Disclaimer
The information provided here is not investment, tax or financial advice. You should consult with a licensed professional for advice concerning your specific situation.
Get Kiplinger Today newsletter — free
Profit and prosper with the best of Kiplinger's advice on investing, taxes, retirement, personal finance and much more. Delivered daily. Enter your email in the box and click Sign Me Up.

Amrita Choudhary, Accounting Manager at Wasabi Technologies, excels in lease contract reviews, audits, and fixed asset management, ensuring financial accuracy and ASC 842 compliance. Her contributions streamline financial processes, maintain GAAP standards and drive continuous improvement. As the Director of Membership & Networking for ICAI Seattle Chapter, Amrita's leadership enhances professional networks, event management and community engagement in finance. Her networking skills solidify her reputation as a connector and industry leader.
-
Stock Market Today: Stocks Rise Despite Stagflation Risk
The business of business continues apace on continuing hope for reduced trade-related uncertainty.
-
Do You Want An Extra $50,000 In Your 401(k)? Delay Retiring
Don’t think putting off retiring for six months to a year will have a meaningful impact? Think again. See how much it can help.
-
Six Ways to Use AI to Improve Your Financial Life
While they can't replace human advisers, AI-based tools can take some of the guesswork out of financial tasks — from budgeting to filing taxes and investing.
-
AI’s Medical Revolution
The Kiplinger Letter Medicine is a field ripe for finding both exciting and practical uses for AI. The tech is already being used by doctors and researchers.
-
What Are AI Agents and What Can They Do for You?
AI agents promise to be the next big thing in artificial intelligence, but what exactly do they do?
-
AI Heads to Washington
The Kiplinger Letter There’s big opportunity for AI tools that analyze MRIs and other medical images. But also big challenges that clinicians and companies will have to overcome.
-
How to Protect Your Privacy While Using AI
How to keep your information and finances safe while using AI, including ChatGPT and Perplexity.
-
10 Major AI Companies You Should Know
These 10 AI companies are at the forefront of machine learning. Find out how they’re driving innovation and jostling to be the biggest players in the game.
-
The AI Doctor Coming to Read Your Test Results
The Kiplinger Letter There’s big opportunity for AI tools that analyze CAT scans, MRIs and other medical images. But there are also big challenges that human clinicians and tech companies will have to overcome.
-
The New Space Age Takes Off
The Kiplinger Letter From fast broadband to SOS texting, space has never been more embedded in peoples’ lives. The future is even more exciting for rockets, satellites and emerging space tech.