Accounting
Responsible AI in accounting: Addressing firms’ top 5 concerns
Generative artificial intelligence is making inroads into the accounting industry, promising to greatly increase efficiency and productivity while offering real-time, deep insights that help improve performance. As firms deal with labor shortages and expand their services amid elevated client expectations, they are avidly exploring AI’s possibilities.
AI doesn’t come without caveats, particularly for accounting firms that work with highly sensitive personal and financial information of their clients. Although Gen AI’s potential benefits are considerable, firms should proceed cautiously and understand its impact on business.
For all of its potential, AI may not immediately solve all of the industry’s challenges. As the initial excitement subsides, it’s critical that IT teams ensure that any AI initiatives align with the objectives of their stakeholders — including the firm itself, clients and regulatory bodies.
The steps to implementing responsible AI
Building a responsible AI strategy starts with a clear understanding of the specific problems or opportunities the firm aims to address with AI, coupled with a commitment to educating leadership and employees on what AI can and cannot achieve. This foundation ensures AI is implemented and used thoughtfully, with resources aligned to deliver maximum impact.
Accounting firms also need a strong data and analytics strategy to ensure their data is well-structured before implementing AI. Structured data is the backbone of responsible AI, enabling faster, more accurate insights and transforming data into a powerful decision-making tool. Without it, AI risks stumbling on inconsistencies and poor-quality data, leading to misguided outcomes and wasted resources. In short, well-structured data unlocks AI’s full potential.
Once these fundamentals are in place, firms can assess their current maturity and readiness for AI implementation. Using a
- Information strategy;
- Governance/resourcing;
- Technology/IT infrastructure;
- Level of automation; and.
- End-user capabilities.
By using the model, firms can identify their capability levels in each category, ranging from beginner to advanced. For example, in the area of information strategy, a firm with minimal IT and business alignment may be considered a beginner, whereas one with integrated alignment across IT, business and executive functions may be classified as more advanced.
Responsible AI will prioritize safety, transparency and trustworthiness. Firms need to strike a delicate balance between innovation and security, which first requires a thorough evaluation of data connectivity, curation, and confidentiality.
To properly incorporate responsible AI, there are five essential areas accounting firms should consider:
Protecting client privacy
Because safeguarding client information is the foundation of building trust with clients, privacy protections must be a top priority when accounting firms add solutions to their tech stack or develop new tools.
Firms can ensure they meet client expectations of confidentiality by practicing techniques like data minimization, ensuring firms handle the least amount of information required for a specific purpose. That can reduce the risk of data breaches, privacy violations and misuse.
Firms should also never share client information on public platforms like ChatGPT, which are vulnerable to cybersecurity threats that the firm has no control over.
Guarding against bias
An AI model trains by analyzing enormous volumes of data and applying what it learns to perform its tasks. Data scientists and developers need to be wary of the information they use to train and create AI algorithms. If biases exist in the training data, those biases will be replicated in the AI model’s work and generate unrelated or incorrect information.
For example, a model may be trained to scrutinize a particular account that has a history of misstatements while overlooking new accounts in the current year. Or it may apply a biased risk profile to particular groups of clients based on historical data rather than client-specific information. IT teams should scrutinize inputs and outputs regularly to detect biased results.
Promoting trust through transparency
AI’s performance should not be a mystery; the models used by accounting firms should be simple, auditable and explainable. Explainable AI methods and tools can show how AI arrives at its decisions, allowing humans to understand the outcomes or identify and address potential issues. Establishing this level of transparency will help foster and demonstrate trust and respect with customers, users, and stakeholders.
Enforcing accountability
Better transparency enables better accountability. A user or group of users — which can include developers, deployers and even end users — should be assigned to regularly monitor and audit the firm’s AI models. They should be able to explain the rationale behind the AI’s outputs and perform updates or make adjustments to correct issues or errors.
Redefining roles
The truth is that AI isn’t going to replace accountants, but it will redefine their roles. AI has the power to transform the way accountants work, freeing employees from mundane tasks to drive growth. Accountants need to grasp the power of pairing their expertise with AI and learn to work with it to improve performance and efficiency.
AI will need accountants to provide extensive monitoring and oversight. But by taking over a lot of routine tasks that accountants spend time on now, AI will allow them to focus on more complex high-level initiatives. In the process, AI will help alleviate the labor shortage and could improve firm retention.
Future-forward accounting firms can reap immense benefits from GenAI as they embark on their digital transformation journey. However, they need to ensure they protect privacy and security. Implementing AI within a capable knowledge work automation framework can, for example, help ensure that data remains confidential, stays within internal system boundaries and that employees have access only to the data they need.
Making sure AI models are trained on complete, bias-free data. Having accountants monitor AI’s outputs can maintain transparency and ensure efficient, effective use of the technology. AI is part of the path forward for the industry, but firms need to be sure they step carefully.
The House unanimously passed four bipartisan bills Tuesday concerning taxes and the Internal Revenue Service that were all
- H.R. 1152, the Electronic Filing and Payment Fairness Act, sponsored by Rep. Darin LaHood, R-Illinois, Suzan Delbene, D-Washington, Randy Feenstra, R-Iowa, Brad Schneider, D-Illinois, Brian Fitzpatrick, R-Pennsylvania and Jimmy Panetta, D-California. The bill would apply the “mailbox rule” to electronically submitted tax returns and payments to allow the IRS to record payments and documents submitted to the IRS electronically on the day the payments or documents are submitted instead of when they are received or reviewed at a later date. The AICPA believes this would offer clarity and simplification to the payment and document submission process while protecting taxpayers from undue penalties.
- H.R. 998, the Internal Revenue Service Math and Taxpayer Help Act, sponsored by Rep. Randy Feenstra, R-Iowa, and Brad Schneider, D-Illinois, which would require notices describing a mathematical or clerical error to be made in plain language, and require the Treasury to provide additional procedures for requesting an abatement of a math or clerical error adjustment, including by telephone or in person, among other provisions.
- H.R. 517, the Filing Relief for Natural Disasters Act, sponsored by Rep. David Kustoff, R-Tennessee, and Judy Chu, D-California. The process of receiving tax relief from the IRS following a natural disaster typically must follow a federal disaster declaration, which can often come weeks after a state disaster declaration. The bill would provide the IRS with authority to grant tax relief once the governor of a state declares either a disaster or a state of emergency and expand the mandatory federal filing extension under Section 7508(d) of the Tax Code from 60 days to 120 days, providing taxpayers with more time to file tax returns after a disaster.
- H.R. 1491, the Disaster related Extension of Deadlines Act, sponsored by Rep. Gregory Murphy, R-North Carolina, and Jimmy Panetta, D-California, would extend the amount of time disaster victims would have to file for a tax refund or credit (i.e., the lookback period) by the amount of time afforded pursuant to a disaster relief postponement period for taxpayers affected by major disasters. This legislative solution would place taxpayers on equal footing as taxpayers not impacted by major disasters and would afford greater clarity and certainty to taxpayers and tax practitioners regarding this lookback period.
“The AICPA has long supported these proposals and will continue to work to advance comprehensive legislation that enhances IRS operations and improves the taxpayer experience,” said Melanie Lauridsen, vice president of tax policy and advocacy for the AICPA, in a statement Tuesday. “We are pleased to work closely with each of these Representatives on common-sense reforms that will benefit taxpayers, tax practitioners and tax administration and we’re encouraged by their passage in the House. We look forward to continuing to work with Congress to improve the taxpayer experience.”
The bills were also included in a recent Senate
The House also passed two other tax-related bills Tuesday that weren’t endorsed in the recent AICPA letter.
- H.R. 1155, Recovery of Stolen Checks Act, sponsored by Rep. Nicole Malliotakis, R-New York, would require the IRS to create a process for taxpayers to request a replacement via direct deposit for a stolen paper check. If a check is determined to be stolen or lost, and not cashed, a taxpayer will receive a replacement check once the original check is cancelled, but many taxpayers are having their replacement checks stolen as well. Taxpayers who have a check stolen are then unable to request that the replacement check be sent via direct deposit. The bill would require the Treasury to establish processes and procedures under which taxpayers, who are otherwise eligible to receive an amount by paper check in replacement of a lost or stolen paper check, may elect to receive such amount by direct deposit.
- H.R. 997, National Taxpayer Advocate Enhancement Act, sponsored by Rep. Randy Feenstra, R-Iowa, would prevent IRS interference with National Taxpayer Advocate personnel by granting the NTA responsibility for its attorneys. In advocating for taxpayer rights, the National Taxpayer Advocate often requires independent legal advice. But currently, the staff members hired by the National Taxpayer Advocate are accountable to internal IRS counsel, not the Taxpayer Advocate, creating a potential conflict of interest to the detriment of taxpayers. The bill would authorize the National Taxpayer Advocate to hire attorneys who report directly to her, helping establish independence from the IRS.
House Ways and Means Committee Chairman Jason Smith, R-Missouri, applauded the bipartisan House passage of the various bills, which had been unanimously passed by the committee.
“President Trump was elected on the promise of finally making the government work better for working people,” Smith said in a statement Tuesday. “This bipartisan legislation helps fulfill that mandate and makes improvements to tax administration that will make it easier for the American people to file their taxes. Those who are rebuilding after a natural disaster particularly need help filing taxes, which is why this set of bills lightens the load for taxpayers in communities struck by a hurricane, tornado or some other disaster. With Tax Day just a few days away, we must look for common-sense, bipartisan ways to make filing taxes less of a hassle.”
By streamlining tasks such as risk assessment, control testing, and reporting, gen AI has the potential to increase efficiency across the entire SOX lifecycle.
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