Accounting
Accounting profs. adapt to AI amid cheating concerns, other challenges
The rise of generative AI in society has also given rise to
Generative AI is known not for its skill with numbers but words, which makes it an unfortunately ideal cheating tool for humanities courses that use written essays as major components of their programs. However, while accounting is not exactly 19th century romantic literature, language and writing are not entirely irrelevant. An accounting student may not need to analyze the major themes in Ulysses, but they may be called upon to interpret an accounting standard, tax regulation or audit document, which can be just as dense and confusing. So while there are not as many opportunities for AI-guided cheating as in other fields, students are still finding places where bots can do their work for them, much to the chagrin of their professors.
“This is definitely something I have heard quite a bit about from my colleagues in the humanities and other fields, but is becoming an issue for accounting/finance classes as well. Students still need to understand the implications of ASU’s, disclosures, etc, and if they rely entirely on AI for assignment completion that knowledge will fade away,” said Sean Stein Smith, a professor at Lehman College who teaches intermediate accounting, cost accounting, advanced accounting and forensic accounting. He also leads Lehman’s development of AI business courses, as well its crypto/blockchain content.
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He added that he has seen AI-guided cheating first-hand, especially for short-form essay assignments as well as when he requires students to perform financial analyses using specific ratios.
Douglas Carmichael, former chief auditor of the PCAOB and currently a professor at Baruch College where he teaches auditing, noted that while he does not himself give any writing assignments that a student could use generative AI to cheat on, this doesn’t mean they’re still not using AI to undermine the purpose of an assignment, though once students realized he was on to them it has become less of an issue.
“I do ask students to submit at least one question before class on something in the text or recorded lectures they found difficult to understand or want additional information about. My experience in prior semesters was that about half of the students submitted a question that seemed suspicious to me given the language used and generality of the issue. The lack of specific reference to the topic in the text or recorded lecture was also apparent. These kinds of questions did not earn any credit and as word got out about that use of ChatGPT is infrequent,” he said.
But even if students are not out and out cheating, some have observed an unhealthy reliance on generative AI starting to form. Jack Castonguay, vice president of learning and development with Surgent as well as a Hofstra University professor who teaches advanced courses in accounting and auditing theory, has seen students struggling with understanding and communicating core concepts at least in part due to their reliance on generative AI.
“We see the reliance significantly when they have to give a presentation or take an in-person exam. It’s clear they have gotten to that point by using AI and can’t apply the logic on their own. Maybe in 3-10 years (given the speed of the improvement in LLMs) they won’t have to do it on their own, but it’s a large problem now for client relationships and having conversations with this in practice. They need to look up everything and use AI as a crutch. Seminar discussions are like pulling teeth oftentimes for me,” he said.
With this in mind, accounting educators — much like those in other fields — are currently in conversation about how to respond to this issue. Richard C. Jones, a Hofstra University accounting professor and former technical staff member at the Financial Accounting Standards Board, said this is a major topic of debate and discussion among college faculty and administrators, noting that it seems to be brought up in nearly every meeting. It is obvious, he said, that students will use LLMs on assignments, and so therefore the challenge for faculty is to assign projects and papers that require students to actually demonstrate their knowledge versus just handing in a paper or presentation.
“Fortunately, I teach classes that require the application of accounting rather than accounting theory. Therefore, my exams and other assessments are specific to case information provided and application of the accounting rules in providing the journal entries and the related disclosure information. So, my students do not have as much of an opportunity to use LLMs to answer the questions,” he said.
Additionally, he mentioned that educators are trying to find ways to work AI into their assignments, considering how quickly accounting firms themselves have taken to it.
Tracey Niemotko — a Marist University professor who teaches accounting and auditing as well as sustainability, taxation and forensic accounting — said that she views AI as more of a tool than a cheating mechanism, pointing out how models can be used to expedite audit procedures or clear away the busy work that eats up the day of many professionals. Consequently, she is a little more sanguine about AI-guided cheating, noting that even if students do use AI in their assignments, the nature of the work makes cheating difficult.
“Even with electronic testing in the classroom, I do not see cheating as a concern overall. I think the accounting students are perhaps a bit more disciplined than most students, so I don’t think they have the mindset to cheat. Even for writing assignments in my upper-level accounting courses, students may use AI to assist them, but they are required to write ‘in their own words.’ Overall, the majority do their own written work but may use AI as a tool to help them develop an outline or get them started,” she said.
Abigail Zhang Parker, a University of Texas at San Antonio professor whose research specialty is AI in accounting, has also directly worked AI into her classes. For example, her Accounting Information Systems courses include hands-on workshops where students learn to operate different accounting software solutions. She noted that AI can be a useful tool for finding relevant information and understanding difficult concepts.
Therefore, her overall philosophy is that students can use generative AI to help with assignments but not on exams, as that is when they’re tested on their actual understanding of the topic. So long as it is only used for assignments versus exams, she does not consider using AI to be cheating. She added it would be impractical to prevent the use of AI entirely anyway, it’s better for educators to find ways to use it too. However, she noted that teaching students proper use of AI can, itself, present a challenge.
“Perhaps we need to guide them how to use it properly. This is not easy. One method that came to my mind is to make the parts that demonstrate students’ own skills take a greater portion in the grading components. … For example, there are three exams throughout the semester, and they take 60% of the total grade, while assignments take 10%. For classes where students need to submit a report and make a presentation, maybe the report itself will not take up a high portion of the grade, but the in-person presentation will, as it better reflects students’ true understanding of the subject. And once students know that they will be mainly graded on their own performance, they are more incentivized to think through the problem than simply over-relying on AI,” she said.
Another reason to learn AI in the classroom is that, once students are working as professional accountants, clients will likely be using AI as well, and they will need to understand and explain what is missing from the AI’s answers. However, Castonguay, from Hofstra, voiced concerns that over-reliance on AI is eroding the critical thinking and reasoning skills needed to properly evaluate these answers in the first place. He does an exercise in class where students have ChatGPT summarize a FASB ASU and review its findings. Some, he said, don’t even know where to start as they have obviously been relying on ChatGPT to understand it at all.
“My bigger concern is [that] by such a reliance on AI they will lack the critical thinking and synthesizing skills that are still valued even with AI. To use a sports analogy, they are only bowling with gutter guards – what happens when those aren’t there?” he said.
Smith, from Lehman, said these kinds of things underscores the need to teach responsible AI usage in a way that does not degrade the human skills that they’ll be relying on in the professional world. He felt, unfortunately, that this could be an uphill battle.
“I do think that as AI becomes more integrated into the classroom and profession, we are going to have to really double-down on making sure students still have the ability to think critically. Especially in cases where questions or data may change on-the-fly, students are seeming to have a harder time pivoting and adapting to analyze said data on the spot. It’s a growing problem with no cookie-cutter or easy solution, but is definitely something I know is being talked about in pretty much every accounting department/School of Business,” he said.
Cruise operators may yet avoid paying more U.S. corporate taxes despite threats from U.S. Commerce Secretary Howard Lutnick to close favorable loopholes.
Lutnick’s comments on Fox News Wednesday that U.S.-based cruise companies should be paying taxes even on ships registered abroad sent shares lower, though analysts indicated the worry may be overblown.
“We would note this is probably the 10th time in the last 15 years we have seen a politician (or other DC bureaucrat) talk about changing the tax structure of the cruise industry,” Stifel Managing Director Steven Wieczynski wrote in a note to clients. “Each time it was presented, it didn’t get very far.”
Industry shares fell sharply Thursday. Royal Caribbean Cruises Ltd. closed 7.6% lower, the largest drop since September 2022. Peers Carnival Corp. and Norwegian Cruise Line Holdings dropped by at least 4.9%.
All three continued slumping Friday, trading lower by around 1% each.
Cruise companies often operate their ships in international waters and can register those vessels in tax haven countries to avoid some U.S. corporate levies. It’s exactly those sorts of practices with which Lutnick has taken issue.
“You ever see a cruise ship with an American flag on the back?,” Lutnick said during the interview which aired Wednesday evening. “They have flags like Liberia or Panama. None of them pay taxes.”
“This is going to end under Donald Trump and those taxes are going to be paid.” He also called out foreign alcohol producers and the wider cargo shipping industry.
The vessels are embedded in international laws and treaties governing the wider maritime trades, including cargo shipping. Targeting cruise ships would require significant changes to those rule books to collect dues from the pleasure crafts, analysts noted. The cruise industry represents
They also pay significant port fees and could relocate abroad to avoid new additional taxes, according to Wieczynski, who sees the selloff as a buying opportunity.
“Cruise lines pay substantial taxes and fees in the U.S. — to the tune of nearly $2.5 billion, which represents 65% of the total taxes cruise lines pay worldwide, even though only a very small percentage of operations occur in U.S. waters,” CLIA said in an emailed statement.
Should increased taxes come to pass, the maximum impact to profits would be 21% on US earnings, Bernstein senior analyst Richard Clarke wrote in a note. That hit wouldn’t be enough to change their product offerings, though it may discourage future investment. Recently, U.S. cruise companies have
Cruise lines already employ tax mitigation teams that would work to counteract attempts by the U.S. to collect taxes on revenue generated in international waters, wrote Sharon Zackfia, a partner with William Blair.
Royal Caribbean did not respond to requests to comment. Carnival and Norwegian directed Bloomberg News to CLIA’s statement.
Artificial intelligence took the business world by storm in 2024. Content creation companies received powerful new AI-powered tools, allowing them to crank out high-quality images with simple prompts. AI also helped cybersecurity companies filter email for phishing attempts. Any company engaging in online meetings received an ever-ready assistant eager to show up, take notes and highlight the most important talking points.
These and countless other AI-driven tools that emerged during the past year are boosting efficiency in virtually every industry by automating the tasks that most often bog down business processes. Essentially, AI takes on the business world’s day-to-day dirty work, delivering with more accuracy and speed than human workers are capable of providing.
For accounting, AI couldn’t have come at a better time.
As companies struggle to do more with less, AI offers solutions that promise to reshape the accounting world. However, putting AI to work also forces companies to accept some new risks.
“Bias” has become a huge buzzword in the AI arena, forcing companies to consider how the automation tools they bring in to help with processing data may introduce some questionable or even dangerous ideas. There are also ethical issues associated with next-level AI-powered data processing that have some concerned that achieving AI-assisted business efficiency also means risking
To make AI worthwhile as an accounting tool, companies must find ways to balance gains in efficiency with the ethical risks it presents. The following explores the growing role AI can play in business accounting while also pointing out some of the downsides that should be carefully considered.
AI upside: Increased accuracy and efficiency
Accounting isn’t accounting if it isn’t accurate. Miskeyed amounts or misplaced decimal points aren’t acceptable, regardless of the company’s size or the business it is doing. When the numbers are wrong, the decision-making that relies on those numbers suffers.
Consequently, manual accounting typically moves slowly to avoid errors. Business leaders have learned to wait on financial reporting prepared by hand. They’ve also learned that because of processing delays, they may not have the numbers they need to take advantage of unexpected opportunities.
AI changes the equation by improving the speed and accuracy of reporting. AI-powered data entry automatically extracts numbers from invoices and other financial statements, eliminating the need for manual entry and the mistakes that can occur when an accountant is distracted, tired or just having an off day. AI can also detect errors or inconsistencies in incoming documents by comparing invoices and other documents to previous records, providing a second set of eyes for accounts as they ensure companies aren’t being overbilled or under-compensated.
When it comes to increasing the pace of accounting, AI’s capabilities are truly astonishing. As
AI accounting gives business leaders accurate financial data in real time, meaning they have relevant and reliable accounting intel when they need it rather than requiring them to wait until the end of the month to have a report on where their cash flow stands. It also has the potential to give a glimpse into the future by drawing upon historical data to drive predictive analytics. AI can look at what has been unfolding in a business and its industry to plot the path forward that makes the most financial sense. It’s not exactly a crystal ball, but it’s as close as most businesses should expect to get.
AI upside: More time for high-level engagement
As AI began to make inroads in the business world,
The manual work typical of conventional accounting is tedious, tiresome and time-consuming. Doing it well eats up much of the energy accountants could otherwise apply to higher-level activities. By using AI automation for those tasks, accountants gain the resources needed for high-level engagement.
Accountants who partner with AI gain the capacity to shift their role from bookkeeper to financial advisor. Rather than focusing all of their energy on preparing reports, they are freed up to interpret the reports. Delegating data entry and other day-to-day tasks to AI allows accountants to become strategic partners with the businesses they serve, whether as in-house employees or external advisors.
Financial forecasting becomes much more doable when AI is in play. Accountants can develop comprehensive financial models that forecast future revenue and expenses. They can also assess investment opportunities, such as determining the viability of mergers and acquisitions, and help with risk management and mitigation.
Tax planning and optimization will also become more manageable once AI automations have been added to the mix. Automating data extraction and categorization streamlines the process of classifying expenses for tax purposes and identifying expenses that are eligible for deductions. AI automation can also be used for tax form completion, adding speed and a higher level of accuracy to a process that very few accountants look forward to completing manually.
AI downside: Higher data security risks
Accountants are well aware of the dangers of data breaches. Allowing financial data to fall into unauthorized hands can lead to financial loss, operational disruption, reputational damage and regulatory consequences. Shifting to AI accounting can potentially increase the risk of data breaches.
Changing to AI accounting often means concentrating financial and other sensitive data and moving it to interconnected networks. Concentrating data creates a target that is more desirable to bad actors. Shifting it to the cloud or other interconnected networks creates a larger attack surface. Both factors create situations in which higher levels of data security are definitely needed.
Addressing the heightened threat of cyberattacks requires a combination of tech tools and human sensibilities. To keep accounting data safe, encryption, multifactor authentication, and regular testing and update protocols should be used. Training should also help accounting teams understand what an attack looks like and how to respond if they sense one is being carried out.
AI downside: Less process customization
Developing the types of platforms that can safely and reliably drive AI automations is not an easy — nor cheap — undertaking. Consequently, many companies choose the economy of “off-the-shelf” platforms. However, opting for a standardized platform could mean closing the door on customized financial workflows a company has developed.
For example, an off-the-shelf platform may not have the option of accommodating the accounting rules of highly specialized industries. It may have a predefined chart of accounts structure that doesn’t fit the structure a company has traditionally used. It also may be limited in the formats that can be used for financial reporting, which could require business leaders to make peace with reports that don’t fit their personal tastes.
To avoid big problems that can surface after shifting to off-the-shelf solutions, companies should make sure to take their time and seek software that can scale with their plans for growth. Like any other technological innovation, AI is a tool meant to support and not supplant a company’s processes. The process of selecting an AI platform to improve accounting efficiency begins with mapping out a company’s unique process and identifying where AI can boost efficiency. If the platform you are considering can’t deliver, keep looking.
AI best practice: Take it slow and learn as you go
The biggest temptation for companies as they begin to embrace AI will likely be doing too much too fast and with too little oversight. Artificial intelligence is a remarkable tech tool, but still in its infancy. Taking advantage of its capabilities also requires managing some risks.
For example, AI has what some experts describe as an “explainability” problem. Developers know what AI can do but don’t always know how it does it. Companies that feel compelled to provide their clients or stakeholders with a solid explanation of the process behind their AI automations may be limited in how they can put AI to work.
Now is the time to begin integrating AI with your company’s accounting efforts, but take it slow and learn as you go. A solid best practice is to explore what is available, experiment with how it can help your business, and expect to make many adjustments before you arrive at an optimal process. Your accounting efforts will serve you best when they combine human and artificial intelligence.
Ascend, a private-equity backed accounting firm, added a vice president of partnerships to its leadership team.
Maureen Churgovich Dillmore will oversee the expansion of Ascend’s growth platform for regional accounting firms into new U.S. markets, effective Feb. 17. She was previously executive director of the Americas at Prime Global. Prior, she was executive director at DFK International/USA.
“I have dedicated a large part of my career to supporting firms that want to remain independent. The dynamics of achieving success in this area are evolving rapidly, and the Ascend model was created so that firm identity would not be at odds with accessing the community and resources needed to prosper. I am genuinely impressed by Ascend’s ability to assist mid-sized firms in making the necessary strides to stay relevant, sustain growth, and provide their staff and clients with top-tier shared services—all while preserving their unique brand and culture,” Churgovich Dillmore said in a statement.
Ascend has added 14 partner firms across 11 states since the company launched in January 2023.
“So much of association work is theoretical, advising member firms on best practices, and you don’t get to see the end game. What excites me about being on the Ascend team is the opportunity to be a force behind the change, to help enact the change and see where and how it comes in,” Churgovich Dillmore added.
“Maureen’s decision to join Ascend is rooted in her desire to serve the profession in a way that maximizes her impact. We are all excited to welcome someone into our Company who has been an advisor and friend to mid-sized CPA firms for over a decade, and it is all the more rewarding when you realize that the community and resources we are bringing to life will allow Maureen to have conversations with firms that she’s never had before. Her curiosity, commitment, and deep care for others are going to stand out in this role,” Nishaad (Nish) Ruparel, president of Ascend, said in a statement.
Ascend is backed by private equity firm Alpine Investors and works with regional accounting firms with between $15 and $50 million in revenue. It ranked No. 59 on Accounting Today‘s
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