AICPA Issues Ethics Staff Insights on AI Through an Ethics Lens

Welcome to the Genuine Learning Blog! Today’s discussion centers on a timely and crucial topic: ethical considerations for CPAs when working with artificial intelligence (AI) based on staff insights from the AICPA’s Ethics Division. As AI use expands rapidly within the profession, it is imperative to understand the risks, responsibilities, and ethical boundaries that come with leveraging these powerful technologies.

AICPA’s guidance, issued in March, is non-authoritative but offers practical insights drawn from frequently asked questions and real-world interactions. It is a resource designed to help CPAs enhance their understanding and application of the AICPA Code of Professional Conduct in the context of AI. The purpose is not to discourage AI adoption, but to support professionals in managing associated risks effectively.

First and foremost, ethical AI use requires maintaining professional judgment. It’s critical to remember that professional judgment cannot be outsourced to AI. The concept of “human in the loop” underscores the necessity of human oversight. CPAs must not simply accept AI outputs at face value, they should carefully review results, remain alert to potential hallucinations, and continually apply their own expertise and reasoning. Governance processes must ensure that data quality is evaluated and that outputs are thoroughly validated before relying upon them in a professional context.

Biases present another important consideration. Automation bias often leads individuals to over-rely on automated systems, assuming all outputs are accurate regardless of logic or evidence to the contrary. Overconfidence can cause professionals to place undue trust in AI, mistakenly believing it is a cure-all solution. Anchoring bias can result in skewed judgments when initial AI outputs disproportionately influence subsequent decisions. Being aware of these biases is essential to maintaining objectivity.

Competency is equally vital. The General Standards rule requires CPAs to perform only those tasks for which they possess adequate knowledge and skill. It’s not acceptable to rely on AI to compensate for a lack of expertise. Similarly, due professional care dictates that CPAs cannot shift all responsibility for accuracy and diligence to AI systems. Ongoing research, consultation, and specific training are necessary to remain in compliance with professional standards, particularly as audit requirements evolve. Gaining a thorough understanding of AI systems and their limitations is integral to effective and ethical practice.

There are also significant considerations around confidentiality. For CPAs in both public practice and business roles, protecting confidential employment information is a foundational responsibility. When using AI, professionals must be vigilant to avoid inadvertently sharing sensitive data. This includes being mindful about what information is input into AI platforms, especially when these platforms could store, process, or learn from that data in ways that risk unauthorized disclosure. For those in public practice, the risk extends to client confidential information, making it essential to evaluate each scenario in light of privacy and non-disclosure requirements.

The AICPA’s underlying message is clear. CPAs should proceed with AI adoption, but with caution and deliberate risk management. The guidance emphasizes making informed, thoughtful decisions and never relinquishing professional judgment or accountability to an automated tool. These insights have garnered significant interest, especially among those taking ethics-focused professional education. Addressing them ensures that CPAs are better equipped to navigate the evolving landscape of artificial intelligence while upholding the highest ethical standards.