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The Case for Public AI: Why We Need Alternatives to Commercial AI Development

Artificial Intelligence (AI) has rapidly become a transformative force in our society, reshaping industries, economies, and daily life....

The Importance of Data Labeling: Methods, Uses, and Challenges

Data labeling tags raw data with meaningful labels, creating high-quality training data for machine learning models. It’s crucial...

TDP on the Road

Highway of Algorithms—Driven by Data "Change is the only constant in life," said Heraclitus, and this fall, that...

The Role of AI in the National Geospatial-Intelligence Agency

The National Geospatial-Intelligence Agency (NGA) provides vital geospatial intelligence for national security and disaster response. This article covers...

Understanding the Exponential Growth of AI: Challenges, Opportunities, and the imperative for Governance

As AI technologies continue to progress at an exponential rate, questions of responsibility, governance, and ethical considerations become...

Enhancing Public Sector Service Delivery Data Proficiency: The Rise of Data-Driven Decision-Making

The United States Government and public sector agencies are increasingly turning to data-driven decision-making to enhance service delivery...

Data Poisoning In AI and Machine Learning

Recent research has highlighted the disturbing ease with which malicious actors can infiltrate and corrupt datasets upon which...

Shaping AI For Good: The Role of Philanthropy and Society

As artificial intelligence (AI) continues to grow and promise transformative solutions to complex problems across various domains, so...

Data Labeling: Why Training Data Matters to the US Governement

Artificial intelligence (AI) and machine learning (ML) have become integral components of modern technological advancements, revolutionizing various sectors...

The Future of AI In The Department of Defense: Leveraging Private Innovation

The Department of Defense (DoD) is facing an unprecedented challenge: harnessing the power of artificial intelligence (AI) to...

Empowering Innovation: Why AI Needs Its Public Libraries

In mid-April, I attended the Data Universe Conference in New York City. Popping out of Penn Station, fresh...

The Power of Machine Learning In Public Administration

Machine learning is revolutionizing traditional practices across various sectors of public administration. While the focus of most governments...

The Potential of Machine Learning in Justice Systems

The justice system is a foundational pillar of societal order, tasked with deciphering complex legal matters, ensuring fairness,...

Shaping the Future of Training Data Development: The Role of Generative AI (GAI) and Large Language Models (LLMs)

The federal government faces a significant challenge in unlocking the full potential of artificial intelligence (AI) due to...

The Battle for Transparency: AI Researcher’s Open Letter to Tech Giants

We're in the midst of an AI revolution, where machines that can learn, think, and even create are...

The Godmother of AI Calls for National Investment

Fei-Fei Li, also known as the “godmother of AI” has been articulating to policymakers the urgent need for...

AI Regulation: The Urgent Need for Stronger Oversight 

Artificial Intelligence (AI) and machine learning (ML) are transformative innovations reshaping industries, economies, and societies worldwide. While AI...

Trust in Machine Learning

”I just want to trust my training data!” Trust in artificial intelligence (AI) and machine learning (ML) has...

Data Entrepreneurship – Why I Started The Training Data Project

Data Entrepreneur [definition]: Someone who helps others uncover truth, meaning, and opportunity in data. HOW IT ALL STARTED...