Conrad Tucker

  • Using Machine-Learning to Improve Policymaking

    The Atlantic Council’s Science and Policy Fellow presented early-stage research on how machine-learning techniques can help decision makers better understand the public’s perception of new technologies, with significant implications for future policymaking.

    Dr. Conrad Tucker, an associate professor of computer science and engineering at the Pennsylvania State University, and a science and policy fellow in the Brent Scowcroft Center on International Security, showcased his current research project, Technology Phobia Readiness Condition (TEPHCON), during the second international InfoSymbiotics/DDDAS conference at the Massachusetts Institute of Technology.

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  • Cognitive Systems and the Policy Challenges of the Twenty-First Century

    This blog is the first in a series exploring the implications of different policies on the development and deployment of artificial intelligence, machine learning, and cognitive systems.

    The term “cognition” is defined as “of, relating to, being, or involving conscious intellectual activity”.1 Our world is surrounded by cognitive organisms that range in complexity from an ant to the most intellectually-capable cognitive organism that is known today – a human. A fundamental characteristic of cognitive organisms is their ability to form higher-level abstractions of cognition that mimic or surpass their individual levels of cognition.2 A cognitive system is a human-made system that is able to interact with their human counterparts and understand human expression mechanisms that are primarily delivered via visual, audial, and textual communication.3 For clarity,...

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