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Artificial Intelligence Content
AI/Analytics
Analytics and Big Data are inherently complex, that doesn’t mean that deploying and utilizing data analytics solutions needs to be complicated. Altair Data Analytics enables organizations to deploy a simple…
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Human-Centered AI
Many artificial intelligence (AI) systems in use today were originally designed for low-stakes situations, or situations with a low cost of failure. If your streaming service recommends a movie that…
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How AI is Transforming eDiscovery
During a recent roundtable discussion hosted by the Advanced Technology Academic Research Center (ATARC), participants from various federal agencies discussed current technological challenges associated with fully leveraging existing and available…
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AI is Shaping the Future of War
Amir Husain is a serial entrepreneur, inventor, technologist, and author based in Austin, Texas. He is the Founder and CEO of an award-winning artificial intelligence company, SparkCognition, and is the…
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Making AI Deployment Easier
Government agencies are recognizing the importance of Artificial Intelligence and Machine Learning to help their agencies adapt to the changing needs of citizens. AI has the potential to save time…
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Building a Data-Driven Government with AI
AI isn’t as new as it might seem. John McCarthy coined the term “artificial intelligence” in 1956 and defined it as “the science and engineering of making intelligent machines.” Although…
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Implementing AI Across the Federal Government
Recent years have seen several Federal Executive Orders issued with the intent to ensure that the United States leads the world in the field of Artificial Intelligence (AI) and leverages…
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Taking the Guesswork Out of AI Adoption
Matt Zeiler, Founder and CEO at Clarifai, explores how agencies should look for an open architecture that connects AI with their existing solutions. Artificial intelligence requires a new set of…
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Practical Uses For AI In the Public Sector
Digital transformation projects are accelerating. Many are adopting Artificial Intelligence (AI) tools to increase operational efficiencies and improve user experience. Taking the lead from the private sector, AI is increasingly…
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Guidance for the Development of AI Risk and Impact...
This paper illustrates how AI risk and impact assessments may help mitigate the harms arising from specific AI systems, but it also highlights some of the limitations associated with the…
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AI for Healthcare: Creating An International...
The use of artificial intelligence (AI) in health systems has accelerated globally with different applications being tested and put into practice across diverse areas of health system design and delivery.…
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AI Risk Management Framework Concept Paper
This concept paper describes the fundamental approach proposed for the National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework (AI RMF or framework). The AI RMF is…
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Towards a Standard for Identifying and Managing...
This special publication from the National Institute of Standards and Technology (NIST) aims to surface the salient issues around AI bias, and to provide a first step on the roadmap…
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AI Bias Is Correctable. Human Bias? Not So Much
“Defending Digital” Series, No. 5: Individual decisions are shaped by our values, beliefs, experiences, inclinations, prejudices, and blind spots. These “biases” can easily leak into information system design. But overall…
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An AI Future Relies on the Strength of Robust Data...
As government agencies continue to embrace complex and hybrid data architectures equipped with new and evolving software and cloud data platforms, data governance must remain at the core of these…
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