Overview

Title

To enhance the use by the National Oceanic and Atmospheric Administration of artificial intelligence for weather forecasting, and for other purposes.

ELI5 AI

The bill wants to help scientists predict the weather better by using computers and smart tools like artificial intelligence at NOAA (which is the part of the government that studies oceans and the atmosphere). It involves giving a lot of money to make these weather predictions better and making sure everyone works together nicely, like teams sharing ideas and information.

Summary AI

S. 1378 aims to improve weather forecasting by enhancing the use of artificial intelligence (AI) within the National Oceanic and Atmospheric Administration (NOAA). It defines key terms related to AI and weather models, and outlines efforts to develop and refine AI-based global, regional, and local weather models, including the enhancement of data accuracy and communication regarding weather risks. The bill encourages partnerships between government, private, and academic sectors to advance weather forecasting technologies and establishes reporting and funding provisions to support these initiatives. Additionally, it addresses technical assistance and the importance of national security in the development and sharing of weather data.

Published

2025-04-09
Congress: 119
Session: 1
Chamber: SENATE
Status: Introduced in Senate
Date: 2025-04-09
Package ID: BILLS-119s1378is

Bill Statistics

Size

Sections:
2
Words:
2,839
Pages:
16
Sentences:
49

Language

Nouns: 966
Verbs: 210
Adjectives: 214
Adverbs: 19
Numbers: 74
Entities: 137

Complexity

Average Token Length:
4.84
Average Sentence Length:
57.94
Token Entropy:
5.27
Readability (ARI):
33.83

AnalysisAI

General Summary

The proposed bill, known as the "Transformational Artificial Intelligence to Modernize the Economy against Extreme Weather and Wildfires Act" or the "TAME Extreme Weather and Wildfires Act," seeks to enhance the National Oceanic and Atmospheric Administration's (NOAA) use of artificial intelligence (AI) in weather forecasting. The legislation outlines the development of AI-driven weather models, data sharing initiatives, and partnerships across various sectors to improve the accuracy and dissemination of weather, water, and space weather forecasts. The bill also provides a financial backing, specifically allocating over $311 million for fiscal year 2026 and $76 million annually from 2027 through 2030 to support these initiatives.

Significant Issues

The bill presents several key concerns regarding its implementation and potential impact. One of the primary issues is the substantial funding allocated for these AI initiatives, which could be perceived as wasteful if not managed effectively. The bill lacks specific oversight measures to ensure these funds are used efficiently and for the intended purposes.

Another major concern is the wide discretion granted to the Under Secretary of NOAA, particularly in deciding how partnerships are formed and funds are allocated. This discretion may lead to a lack of transparency and create potential favoritism toward certain organizations, which could undermine public trust.

The bill also raises transparency concerns with its provision allowing NOAA to withhold models or data based on national security interests, without clear checks to prevent misuse. Additionally, the absence of detailed criteria for forming partnerships with private and international entities may result in inequities, potentially disadvantaging smaller organizations or those with less access to NOAA.

Impact on the Public

The introduction of AI into weather forecasting has the potential to significantly improve the timeliness and accuracy of weather predictions, potentially saving lives and minimizing property damage during extreme weather events. If successful, the bill could enhance public safety and provide more reliable information for businesses and communities to make informed decisions.

However, the opacity surrounding funding allocation and partnership formation might lead to public skepticism about the efficiency and impartiality of the program. The bill's technical language could also create a barrier for the general public in understanding its implications, which might undermine the public's ability to engage in informed discourse about its execution and benefits.

Impact on Stakeholders

For stakeholders like federal agencies, academic institutions, and private companies involved in weather research, this bill represents a significant opportunity to collaborate and innovate in AI-driven weather forecasting. These stakeholders could benefit from increased funding and access to new data and technologies, promoting advancements in weather prediction models.

On the downside, stakeholders might face challenges if the bill's implementation lacks transparency and clear guidelines. Smaller institutions or new market entrants could find themselves at a disadvantage if partnership opportunities are not equitably distributed. Furthermore, if national security concerns result in restricted data access, it could limit some stakeholders' ability to participate fully or benefit from the program's potential innovations.

Overall, while the bill holds promise for advancing weather forecasting technology and enhancing public safety, its success will heavily depend on transparent implementation and equitable distribution of resources and opportunities.

Financial Assessment

Congress is considering Bill S. 1378, which seeks to enhance weather forecasting capabilities through advanced use of artificial intelligence (AI) at the National Oceanic and Atmospheric Administration (NOAA). A significant component of this legislation involves financial allocations aimed at developing and improving AI-based weather models.

Financial Allocations

The bill authorizes substantial funding specifically for the implementation of the proposed AI initiatives within NOAA:

  • $311,000,000 is authorized to be appropriated for fiscal year 2026.
  • For the subsequent fiscal years from 2027 to 2030, $76,000,000 per year is authorized.

These appropriations are intended to support the advancements in weather forecasting technologies, the enhancement of data accuracy, and the facilitation of effective communication regarding weather risks.

Relation to Identified Issues

Given the financial commitments outlined, several issues deserve attention:

  1. Efficiency and Oversight Concerns: The allocation of significant funds might be perceived as wasteful if there are no well-defined oversight mechanisms. Efficient use of these appropriations is crucial to ensure they directly contribute to the enhancement of NOAA’s AI capabilities as intended. The bill does not specify the measures for oversight and accountability, leading to potential inefficiencies or misuse of funds.

  2. Ambiguity in Decision-Making: The discretionary power granted to the Under Secretary in how these funds are used can lead to ambiguity. This could affect transparency regarding financial decisions and the formation of partnerships, thus leading to suspicions of favoritism towards certain organizations.

  3. Public Access vs. National Security: While the bill allows for the withholding of data and models for national security reasons, such provisions should be balanced with maintaining public access to information. The lack of specific checks and guidelines could lead to challenges in transparency, which might indirectly affect the perceived value and appropriate use of federally allocated funds.

  4. Co-Investment and Partnerships: The bill suggests possible co-investment strategies with private, academic, and international sectors, yet it does not lay out specific guidelines for these financial collaborations. This absence raises concerns about potential conflicts of interest and the equitable distribution of financial and resource benefits.

In summary, while Bill S. 1378 promises robust financial support for enhancing AI-driven weather forecasting, the lack of detailed oversight mechanisms and specific guidelines could pose challenges. Ensuring transparency and accountability in the appropriation of these funds will be critical to addressing concerns regarding their efficient and fair use.

Issues

  • The authorization of significant funding in Section 2 could be viewed as wasteful if the funds are not efficiently used for the intended purposes. This concern is heightened by the fact that specific measures for oversight and accountability are not delineated in the bill to ensure the funds are used effectively.

  • The language in Section 2 regarding the discretion of the Under Secretary leaves room for interpretation, especially concerning how partnerships and funding decisions are made. This could lead to ambiguity, lack of transparency, and potential favoritism towards certain organizations, which may erode public trust in the initiative.

  • Section 2 allows the Under Secretary to withhold models or data to protect national security interests. This provision is open to broad interpretation and potentially lacks sufficient checks to prevent misuse, raising concerns about transparency and the protection of public access to important data.

  • The bill lacks specific criteria or guidelines in Section 2 for forming partnerships with private, academic, and international entities. This absence could lead to favoritism or inequities in how partnerships are formed, potentially disadvantaging smaller organizations or those without prior connections to the NOAA.

  • Section 2 involves the use of advanced technical terms and concepts, such as 'cost functions', 'data assimilation', and 'ensemble forecasts', which are not explained in detail. This could create confusion among non-experts or the general public and hinder informed public discourse on the bill's stipulations.

  • The provisions for retaining federal government expertise in Section 2 mention competitive salaries and staff exchange programs, but do not provide specific implementation details. This vagueness might lead to challenges in effectively enhancing workforce capabilities without clear strategies and funding.

  • The provision in Section 2 regarding co-investment with non-Federal entities does not specify clear guidelines, which could raise concerns about potential conflicts of interest and favoritism. This may necessitate stricter transparency rules to ensure equitable treatment of all participating entities.

  • The report on risks from foreign countries of concern in Section 2 does not specify the frequency of updates beyond the initial report. Without regular reviews, there is a risk of relying on outdated information, which could compromise security assessments.

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. Short title Read Opens in new tab

Summary AI

The act referenced in this section is known as the "Transformational Artificial Intelligence to Modernize the Economy against Extreme Weather and Wildfires Act" or simply the "TAME Extreme Weather and Wildfires Act."

2. Artificial intelligence for weather forecasting Read Opens in new tab

Summary AI

In this section, Congress outlines a plan to enhance weather forecasting by using artificial intelligence. It includes improving data sharing, forming public-private partnerships, and supporting research and development, while ensuring national security and providing funds to support these initiatives.

Money References

  • (j) Authorization of appropriations.—There is authorized to be appropriated to the Under Secretary to carry out this section— (1) for fiscal year 2026, $311,000,000; and (2) for each of fiscal years 2027 through 2030, $76,000,000.