InfraGard
infragard.fbi.gov
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When Machines Reason About Uncertainty, Which Framework Are They Using?
Artificial intelligence systems are increasingly asked to reason under uncertainty: to weigh incomplete evidence, assess risk, and produce judgments where no fact set is complete. Almost without exception, the uncertainty frameworks embedded in these systems are probabilistic. Neural networks output probability distributions. Large language models are trained to predict likely continuations. Risk-scoring systems assign probability…
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Privacy Cannot Be an Afterthought
Technology rarely waits for society to decide how it should be governed. Artificial intelligence, biometric identification, autonomous systems, and other emerging technologies are creating new possibilities at a remarkable pace. They are also creating new questions about personal information, consent, accountability, and control. Privacy is sometimes treated as something that can be addressed near the…
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AI and the Changing Shape of Work
Artificial intelligence is reshaping the modern workforce. It is not replacing the importance of traditional skills, but it is changing how those skills are applied, extended, and combined with new capabilities. The shift is not sudden. It is unfolding across industries, professions, and institutions, creating a landscape where human judgment and AI proficiency increasingly work…
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The Expanding Shape of Intelligence
The meaning of intelligence is changing. For most of modern history, intelligence referred to human cognition, institutional analysis, and information gathered to support decisions. Today, it also includes the capabilities of artificial systems, the behavior of digital environments, and the ways technology shapes human understanding. This shift is not happening all at once. It is…