Tag

Data Quality

All articles tagged with #data quality

government18 days ago•4 min saved

GAO Flags Transparency Gaps in DOGE's Wall of Receipts Savings

GAO finds that DOGE’s Wall of Receipts savings claims—covering contracts, grants, and leases—are not transparently calculated and lack data-quality disclosures. As of July 7, 2026, the page lists $110 billion in savings, but issues include 108 of 264 leases described as terminated that were already in process before DOGE existed, 96% of grant savings with unknown calculation methods, and a DoD IT contract showing no actual savings after supposed termination; DOGE has not updated the site or explained data limitations. GAO recommends prominently displaying data quality issues, but DOGE did not respond to inquiries.

via U.S. Government Accountability Office (.gov)|

#data-quality #doge #federal-spending

science2 months ago•11 min saved

The Longevity Question: Data and Demographics Obscure the Real Limits

Science journalist David Adam reports on Saul Newman’s critique of the upper-limit-to-life debate, arguing that much of what passes for evidence of a hard lifespan bound rests on faulty or unreliably recorded data. Extreme-age records are plagued by pension fraud, clerical errors, and misreporting, casting doubt on claims of mortality plateaus or hard genetic limits. Newman urges calibration of aging biomarkers with physical dating methods (not just paperwork-based estimates) to distinguish biology from administrative error, and calls for understanding the distribution of age-coding mistakes. Until data are anchored in physical measurements, the search for a maximum human lifespan remains unsettled.

via Nature|

#aging #biomarkers #data-quality

environment3 months ago•8 min saved

Urban Emissions Gap: NAU Study Finds Climate TRACE Underestimates City CO2 by 70%

A Northern Arizona University-led study comparing Climate TRACE’s onroad vehicle CO2 estimates with the Vulcan dataset found Climate TRACE undercounts urban emissions by about 70% on average across 260 U.S. cities, with some cities undercounted by over 90%. The results raise concerns about the accuracy of AI-derived climate data and underscore the need for guardrails, transparency, and cross-validation to inform policy decisions.

via SciTechDaily|

#climate-change #climate-trace #data-quality

technology9 months ago•2 min saved

AI Chatbots Face 'Brain Rot' from Excessive Social Media Consumption

Training AI chatbots on large amounts of low-quality social media content impairs their reasoning, accuracy, and ethical responses, highlighting the importance of high-quality data for effective AI performance.

via Nature|

#ai #chatbots #data-quality

economy10 months ago•4 min saved

Economist Reveals Wealth Gap in Economic Well-Being

Economist Diane Swonk warns that despite positive market signals, the U.S. economy is more fragile than it appears due to persistent inflation, data collection issues, and a bifurcated consumer base, suggesting a potential slowdown and challenging holiday season ahead.

via Fortune|

#consumer-confidence #data-quality #economic-slowdown

economy1 year ago•1 min saved

Trump prepares to appoint new leaders at BLS and Fed amid economic concerns

The article discusses concerns over the decline in quality and reliability of U.S. economic data produced by the Bureau of Labor Statistics (BLS) under the Trump administration, citing staffing issues, reduced data collection, and political interference, with experts warning of potential impacts on economic policy and analysis.

via Politico|

#bls #data-quality #economic-reports

technology1 year ago•4 min saved

Early Signs of AI Model Failures Emerge

The article discusses the emerging signs of AI model collapse, where AI systems, especially in search and data generation, are producing increasingly unreliable and distorted results due to error accumulation, loss of rare data, and feedback loops. This decline threatens the usefulness of AI, particularly as models are trained on their own outputs, leading to a cycle of degrading accuracy and trustworthiness, with potential consequences for businesses and users alike.

via theregister.com|

#ai-model-collapse #ai-reliability #data-quality

technology3 years ago•5 min saved

Maximizing the Potential of AI Chatbots: A Guide for Directing Enhanced Utility

A.I.-powered chatbots like ChatGPT and Bard often fabricate information, leading to inaccurate answers and advice. However, by directing these chatbots to use information from trusted sources such as credible websites and research papers, they can generate intelligible answers and useful advice with a high degree of accuracy. This approach can also help reduce the production and spread of misinformation. Examples include using plug-ins that pull data from well-known media sites for meal planning, relying on trusted sources and double-checking data for research, and incorporating suggestions from favorite travel sites for travel planning. The key is to pair the language simulation ability of A.I. chatbots with high-quality information to maximize their usefulness.

via The New York Times|

#ai-chatbots #data-quality #directing-chatbots

data-science3 years ago•6 min saved

"40 Eye-Opening Charts That Redefine Your Perspective"

The subreddit r/dataisbeautiful showcases easy-to-understand visualizations that effectively convey complex information. Data analysts can identify and address data quality issues in large datasets by employing strategies such as data profiling, cleaning, imputation, and validation. Organizations should look for data analysts with problem-solving skills, proficiency in programming languages and software, statistical analysis, machine learning knowledge, data visualization ability, and communication skills. Unstructured data requires additional care, and organizations should foster a data-driven culture while keeping in mind the ethics of data collection, usage, and storage.

via Bored Panda|

#data-analysis #data-quality #data-science