Overview
Title
To require the Government Accountability Office to conduct a study on the use of commercial-off-the-shelf products and artificial intelligence technologies by the Internal Revenue Service.
ELI5 AI
The bill wants a special group to look at how the IRS uses regular store-bought technology and smart computer programs to do a better job and be fair with taxes. They will also check if there are any problems with using these technologies and if everything is safe and honest.
Summary AI
S. 5620 is a bill that requires the Government Accountability Office (GAO) to study how the Internal Revenue Service (IRS) uses commercial-off-the-shelf products and artificial intelligence technologies. The study will focus on how these technologies improve IRS operations, such as making services more efficient, saving costs, and increasing fairness in tax enforcement. The bill also requires the GAO to report on how the IRS manages risks like technological errors and data security. Additionally, the study will provide details about the contractors involved in IRS technology projects, the costs, and how the IRS decides between commercial products and custom solutions.
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AnalysisAI
Overview of the Bill
This bill, titled "To require the Government Accountability Office to conduct a study on the use of commercial-off-the-shelf products and artificial intelligence technologies by the Internal Revenue Service," was introduced in the Senate by Mr. Warner and Mr. Cassidy. It aims to mandate a study by the U.S. Comptroller General focused on how the Internal Revenue Service (IRS) utilizes commercial-off-the-shelf (COTS) products and artificial intelligence (AI) technologies. The study is expected to highlight improvements in IRS operations and explore risk management relating to these technologies. The findings will be reported to Congress within a year of the act's enactment.
Significant Issues
Ambiguity of Technology Criteria
A notable issue with the bill is the lack of clarity on the criteria for selecting which COTS products and AI technologies should be included in the study. This ambiguity can lead to inconsistent results and potentially misaligned objectives concerning the IRS's operational goals. Additionally, without a clear definition of what constitutes a COTS product, there could be challenges in standardizing the study's parameters, leading to discrepancies in technology procurement strategies.
Vague Language and Metrics
The bill's language around goals such as "improve efficiency" and "improve taxpayer services" is vague and lacks concrete metrics. This vagueness could make it difficult to objectively evaluate improvements and potentially result in ineffective enhancement strategies. Moreover, there are no specific benchmarks or performance indicators for assessing cost savings or fairness in enforcement, which makes these outcomes subject to interpretation.
Risk Management and Transparency Concerns
The bill fails to provide detailed strategies for managing risks associated with AI use, such as technology errors or data security issues. This omission could lead to uncertainty regarding how the IRS plans to mitigate these risks effectively. Furthermore, while the bill requires listing contractors and subcontractors, it does not outline processes for ensuring transparency or public accountability, raising concerns about possible conflicts of interest.
Contracting and Cost Analysis
The contracting approach, including procurement criteria for commercial services, is not sufficiently detailed. This lack of detail could lead to inefficiencies or potentially unfair practices that favor certain vendors. Additionally, the requirement for a cost differential analysis between customized projects and COTS alternatives lacks guidance, which might result in misleading comparisons and unjustified financial decisions.
Impact on the Public
Broadly, the bill could enhance the IRS's operational efficiency and taxpayer service quality if the study leads to effective implementation of COTS products and AI technologies. However, its success depends on resolving the aforementioned issues to prevent missteps or inefficiencies that might arise from unclear criteria and objectives.
Impact on Specific Stakeholders
The IRS is a primary stakeholder and could benefit from improved workflow processes and reduced costs if the study results in actionable insights. However, the lack of detailed risk management strategies could pose challenges for IRS officials who need to address potential AI-related biases or data security concerns.
Contractors and vendors involved in IRS technology projects might face increased scrutiny, especially regarding transparency and fairness in contract awards. A more detailed contracting process could lead to heightened competition but might also streamline operations if managed effectively.
Taxpayers stand to benefit from improved services and possibly reduced administrative costs for the IRS, though these benefits hinge on the clarity and execution of the study's recommendations. Conversely, vague language and unclear objectives could result in unmet expectations concerning enhanced service delivery or fairness in enforcement.
Issues
The section does not specify the criteria for determining which commercial-off-the-shelf products and AI technologies are to be studied, leaving room for ambiguity in the scope of the study. This could potentially lead to inconsistent results and misaligned objectives with the IRS's operational goals. (Section 1)
There is no clear definition of what constitutes a 'commercial-off-the-shelf product,' which might lead to inconsistent interpretations and challenges in implementing standardized study parameters. This could create discrepancies in the IRS's technology procurement strategies. (Section 1)
The language around 'improve efficiency' and 'improve taxpayer services' is vague and could be interpreted in various ways without concrete metrics or goals. This vagueness may hinder the objective evaluation of IRS improvements and result in ineffective enhancement strategies. (Section 1)
The section does not set any specific benchmarks or performance indicators to assess the 'cost savings' or 'increase fairness in enforcement', making these terms subject to interpretation. Without clear metrics, the success of technology implementations could be overstated or misunderstood. (Section 1)
Details about how 'risks associated with the use of artificial intelligence technologies' will be managed are not provided, leading to potential uncertainty around risk mitigation strategies. This omission could raise concerns about data security, bias, and error management in IRS operations. (Section 1)
The section mentions the 'name of each contractor and subcontractor' without providing a process for transparency or public accountability, which could lead to perceived conflicts of interest or corruption in IRS technology projects. This lack of transparency could undermine public trust. (Section 1)
The contracting approach is not detailed sufficiently, particularly the criteria for selecting procurement authorities intended for commercial services. This lack of detail might result in inefficiencies or legally questionable procurement practices that could favor certain vendors over others unjustly. (Section 1)
The requirement to include a cost differential analysis between customized projects and commercial-off-the-shelf products lacks specifics on how these analyses should be conducted and presented. This lack of guidance could lead to misleading cost comparisons and unjustified financial decisions in IRS modernization projects. (Section 1)
Sections
Sections are presented as they are annotated in the original legislative text. Any missing headers, numbers, or non-consecutive order is due to the original text.
1. GAO study and report on use of commercial-off-the-shelf products and artificial intelligence technologies by IRS Read Opens in new tab
Summary AI
The section mandates that the U.S. Comptroller General must study and report to Congress within 12 months on how the IRS uses commercial-off-the-shelf products and AI technologies to improve operations and manage risks. The study will also provide details about the IRS's IT modernization and software development projects, including contractors involved, costs, and whether commercial services procurement methods are used.