The American Institute of CPAs and Former IRS Commissioner Launch Council to Navigate Artificial Intelligence in Tax

The American Institute of CPAs (AICPA), in a significant move to address the burgeoning role of artificial intelligence (AI) in the tax landscape, has joined forces with former IRS Commissioner Danny Werfel to spearhead a new, cross-sector initiative. This collaborative effort, known as the Council on AI Risk in Tax (CART), aims to foster practical strategies for the responsible integration of AI within tax administration and tax practice. The council convenes leaders from accounting, law, technology, government, and academia, with notable participation from organizations such as the National Association of Enrolled Agents (NAEA) and the Federation of Tax Administrators (FTA), alongside other key stakeholders.

The formation of CART underscores a growing recognition across the tax community that AI is not a distant future prospect but a present reality actively reshaping how tax compliance, administration, and advisory services are delivered. As AI-powered tools become more prevalent and their adoption accelerates, critical questions surrounding information integrity, accountability, and robust risk management have emerged as paramount concerns for professionals and governmental bodies alike.

Genesis of the Council on AI Risk in Tax (CART)

The impetus for CART’s establishment stems from the rapid advancements in AI technology and its increasing application in the complex domain of taxation. AI’s capacity to process vast datasets, identify patterns, and automate intricate tasks presents both unprecedented opportunities and significant challenges for the tax ecosystem. The AICPA, a leading professional organization for CPAs, recognized the imperative for a coordinated approach to harness AI’s potential while mitigating its inherent risks.

Danny Werfel, a respected figure with extensive experience in tax administration, lent his expertise and leadership to this crucial initiative. His tenure as IRS Commissioner provided him with a unique perspective on the challenges and opportunities facing tax agencies in an era of technological transformation. The collaboration with the AICPA signals a commitment to bridging the gap between technological innovation and the practical realities of tax policy and practice.

The council’s inception follows the recent publication of an AI risk framework, which CART intends to build upon and refine. This framework serves as a foundational document, acknowledging that the rapid evolution of AI necessitates continuous evaluation and adaptation of best practices. The participating organizations, by contributing their diverse expertise, aim to create a comprehensive and actionable set of guidelines that will serve the broader tax community.

Core Objectives and Strategic Imperatives

CART has been established with several key objectives designed to proactively address the integration of AI in tax:

• Refining Existing Risk Frameworks: Building upon the initial AI risk framework, the council seeks to enhance its comprehensiveness and practicality, ensuring it remains relevant in the face of evolving AI capabilities.
• Developing Practical Guidance and Tools: The council will focus on creating tangible resources, including best practices, case studies, and potentially technological tools, to assist tax administrators and practitioners in navigating AI adoption.
• Fostering Cross-Sector Collaboration: By bringing together diverse stakeholders, CART aims to create a unified understanding of AI risks and opportunities, promoting a collaborative approach to problem-solving.
• Promoting Responsible AI Adoption: A central tenet of CART’s mission is to ensure that AI technologies are adopted in a manner that upholds the integrity of the tax system, maintains public trust, and ensures accountability.

Melanie Lauridsen, Vice President of Tax Policy & Advocacy for the AICPA, emphasized the strategic necessity of AI in the current tax environment. "AI in tax is not simply an opportunity, it has become a strategic necessity," Lauridsen stated. "AI has the potential to transform how tax is administered and practiced, but requires thoughtful governance, practical risk management and trusted guidance." She further elaborated on the council’s role, highlighting its commitment to evolving the risk framework and developing additional tools and insights. "We are encouraged by the participation of such a distinguished group of tax community leaders and look forward to the important work ahead," she added, underscoring the caliber of expertise assembled within CART.

Addressing the Spectrum of AI Risks in Taxation

The integration of AI in tax administration and practice introduces a multifaceted array of risks that require careful consideration. These risks can broadly be categorized as follows:

Data Integrity and Security Risks

AI systems rely heavily on the quality and security of the data they process. In the tax context, this includes sensitive taxpayer information.

• Data Bias: AI algorithms trained on biased datasets can perpetuate and even amplify existing inequalities, leading to unfair or discriminatory outcomes in tax assessments or audits.
• Data Privacy Breaches: The storage and processing of vast amounts of personal and financial data by AI systems create potential vulnerabilities for data breaches, compromising taxpayer confidentiality.
• Data Poisoning: Malicious actors could intentionally introduce corrupted data into AI training sets, manipulating the AI’s output to achieve fraudulent results.

Algorithmic Transparency and Explainability

Many advanced AI models, particularly deep learning systems, operate as "black boxes," making it difficult to understand how they arrive at their conclusions.

• Lack of Auditability: The inability to fully explain an AI’s decision-making process poses challenges for audits and appeals, making it difficult to verify the fairness and accuracy of tax determinations.
• Erosion of Trust: If taxpayers and practitioners cannot understand or trust the logic behind AI-driven tax decisions, it can undermine confidence in the tax system.

Accountability and Liability Challenges

Determining responsibility when an AI system errs is a complex legal and ethical challenge.

• Defining Liability: In cases of AI-induced errors, it can be unclear whether the developer, the deployer (e.g., a tax agency or firm), or the AI itself should be held accountable.
• Human Oversight: The degree of human oversight required for AI systems in tax is a critical consideration. Over-reliance on automation without adequate human review can increase the risk of undetected errors.

Operational and Implementation Risks

The successful deployment of AI requires significant technical expertise, infrastructure, and ongoing management.

• System Failures: Technical glitches or system failures in AI-powered tax platforms could disrupt tax administration and compliance processes, leading to significant delays and costs.
• Skills Gap: A lack of adequately trained personnel to develop, manage, and interpret AI systems within tax agencies and firms can hinder effective adoption and risk mitigation.
• Cost of Implementation: The investment required for AI technology, infrastructure, and training can be substantial, posing a barrier for some organizations.

A Timeline of Emerging AI in Tax and CART’s Role

The journey towards AI integration in tax has been gradual, marked by increasing sophistication of analytical tools.

• Early 2000s: Initial forays into data analytics for tax compliance, focusing on identifying anomalies and patterns in large datasets. This era was characterized by rule-based systems and statistical modeling.
• Mid-2010s: The rise of machine learning began to offer more sophisticated predictive capabilities, enabling tax authorities to identify high-risk areas more effectively and improve fraud detection.
• Late 2010s – Present: Advancements in AI, including natural language processing (NLP) and deep learning, have opened new avenues for automating tasks, enhancing taxpayer services, and personalizing tax advice. This period has also seen the emergence of generative AI, which poses new questions about content creation, accuracy, and misuse in tax-related documentation and advice.
• Early 2024: The AICPA and Danny Werfel initiate the formation of CART, recognizing the accelerating pace of AI adoption and the critical need for a structured approach to risk management. The council’s first meeting is anticipated to delve into the immediate priorities for refining the existing AI risk framework and identifying critical areas for immediate guidance development.
• Throughout 2024 and Beyond: CART is expected to convene regularly, with a mandate to continuously monitor AI advancements, assess emerging risks, and update its guidance and resources to support the tax community in navigating this dynamic landscape.

Perspectives from Key Stakeholders

The formation of CART has garnered positive reactions from various segments of the tax community, signaling a collective understanding of the importance of proactive engagement with AI.

Danny Werfel articulated the urgency and the council’s objective: "Tax is high-stakes, and we cannot assume that emerging AI tools will police themselves. The AI risk framework published earlier this month provides a starting point. Through this new Council, the AICPA is bringing the tax community together to refine that framework and explore additional tools that can help tax administrators and practitioners realize the benefits of AI while managing the various and material risks that AI presents." This statement highlights the dual focus on both opportunity and risk, a balanced approach essential for responsible innovation.

Melanie Lauridsen of the AICPA echoed this sentiment, emphasizing the strategic imperative: "AI in tax is not simply an opportunity, it has become a strategic necessity. AI has the potential to transform how tax is administered and practiced, but requires thoughtful governance, practical risk management and trusted guidance." Her remarks underscore the AICPA’s commitment to providing the necessary frameworks and support for the tax profession to embrace AI effectively and ethically.

Organizations like the National Association of Enrolled Agents (NAEA) and the Federation of Tax Administrators (FTA) are expected to play a crucial role in disseminating CART’s findings and recommendations to their respective constituencies. Their participation ensures that the insights and guidance developed by the council will reach a broad spectrum of tax professionals, from individual practitioners to large state tax agencies.

Broader Impact and Implications for the Tax Ecosystem

The establishment of CART and its ongoing work will have far-reaching implications for the entire tax ecosystem:

• Enhanced Taxpayer Trust: By promoting responsible AI adoption and robust risk management, CART aims to bolster public confidence in the integrity and fairness of the tax system.
• Improved Efficiency and Effectiveness: The responsible integration of AI can lead to more efficient tax administration, faster processing of returns, and more accurate identification of tax liabilities, ultimately benefiting both governments and taxpayers.
• Professional Development: The council’s work will necessitate ongoing education and training for tax professionals, ensuring they possess the skills and knowledge to leverage AI tools ethically and effectively.
• Policy Development: The insights generated by CART can inform future tax policy decisions, guiding legislators and regulators on how to approach AI in the tax domain.
• Global Benchmarking: The frameworks and best practices developed by CART can serve as a model for other countries grappling with the integration of AI in their tax systems, fostering international cooperation and knowledge sharing.

The Council on AI Risk in Tax, through its multidisciplinary approach and commitment to practical solutions, is poised to play a pivotal role in shaping the future of AI in taxation. Its work will be critical in ensuring that this powerful technology is harnessed for the benefit of tax administration and practice while safeguarding the principles of fairness, integrity, and accountability that underpin the global tax system. The council’s continued meetings throughout the year will be closely watched by stakeholders seeking to navigate the complex, yet promising, intersection of artificial intelligence and taxation.