A Working Theory of a Learned Model in a Partially Observable Environment for Cognitive Decision-Making; Impact of Artificial Intelligence Systems on Cognitive Liberty

Graham, Emma, School of Engineering and Applied Science, University of Virginia
Klotz, Leidy, EN-Eng Sys and Environment, University of Virginia
Foley, Rider, EN-Engineering and Society, University of Virginia

To tackle the increasingly devasting and complex problems in the world, we need to make the best decisions possible. To efficiently improve our decision-making, it is essential to understanding how we make decisions. For many years we have strived to uncover the mysteries of our own cognitive process of decision-making. Human have created policies to optimize procedures and have made advances in neuroscience, however, our own complex decision-making processes have not yet been fully articulated computationally. An outline for a learned model, using the latest advancements in action-selection policy methods, operating in a partially observable environment is theorized and its cognitive representations as well as additional considerations are discussed. The behavioral dimensions of an artificial intelligence with human-like decision-making processes would have significant implications, both from insight into internally improving our decisions and the external influence on our decisions. The affects of cognitive and artificial intelligence interactions will be explored through the user-centered design approach in the inclusion dimension of the Responsible Innovation framework. The perspective of user-centered design considers the desires of and impact on the user at every stage of the system’s process. A case analysis was orchestrated to analyze cases in the following categories: thought reform, external influence, and stratagem. Together, the cases will create the base of the user-centered design approach used to evaluate the impact of artificial intelligence systems on our cognitive liberty. The research is expected to provide a deeper insight into potential effects of artificial intelligence on our thought processes when it comes to decision-making. The potential influence of intelligent systems highlights the need for the consideration of the social and ethical stakes associated with the systems’ development in the effort to enable the continued protection of the universal human right of the freedom of thought.

BS (Bachelor of Science)
artificial intelligence, cognitive decision-making, partially observable Markov decision processes, deep learning, responsible innovation, freedom of thought, learned model, cognitive-artificial interaction, ethical AI, user-centered design, decision-making

School of Engineering and Applied Science Bachelor of Science in Systems Engineering
Technical Advisor: Leidy Klotz
STS Advisor: Rider Foley

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