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Karim Nader
University of Texas at Austin
  1.  28
    An Update on Memory Reconsolidation Updating.Jonathan L. C. Lee, Karim Nader & Daniela Schiller - 2017 - Trends in Cognitive Sciences 21 (7):531-545.
  2.  31
    Virtual Competitions and the Gamer’s Dilemma.Karim Nader - 2020 - Ethics and Information Technology 22 (3):239-245.
    This paper expands Rami Ali’s dissolution of the gamer’s dilemma (Ethics Inf Technol 17:267-274, 2015). Morgan Luck’s gamer’s dilemma (Ethics Inf Technol 11(1):31-36, 2009) rests on our having diverging intuition when considering virtual murder and virtual child molestation in video games. Virtual murder is seemingly permissible, when virtual child molestation is not and there is no obvious morally relevant difference between the two. Ali argues that virtual murder and virtual child molestation are equally permissible/impermissible when considered under different modes of (...)
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  3.  59
    Decay Happens: The Role of Active Forgetting in Memory.Oliver Hardt, Karim Nader & Lynn Nadel - 2013 - Trends in Cognitive Sciences 17 (3):111-120.
    Although the biological bases of forgetting remain obscure, the consensus among cognitive psychologists emphasizes interference processes, rejecting decay in accounting for memory loss. In contrast to this view, recent advances in understanding the neurobiology of long-term memory maintenance lead us to propose that a brain-wide well-regulated decay process, occurring mostly during sleep, systematically removes selected memories. Down-regulation of this decay process can increase the life expectancy of a memory and may eventually prevent its loss. Memory interference usually occurs during certain (...)
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  4.  35
    Is It Time to Invoke Multiple Fear Learning Systems in the Amygdala?Karim Nader & Joseph E. LeDoux - 1997 - Trends in Cognitive Sciences 1 (7):241-244.
  5.  22
    Dating Through the Filters.Karim Nader - 2020 - Social Philosophy and Policy 37 (2):237-248.
    In this essay, I explore ethical considerations that might arise from the use of collaborative filtering algorithms on dating apps. Collaborative filtering algorithms can predict the preferences of a target user by looking at the past behavior of similar users. By recommending products through this process, they can influence the news we read, the movies we watch, and more. They are extremely powerful and effective on platforms like Amazon and Google. Recommender systems on dating apps are likely to group people (...)
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    Public understanding of artificial intelligence through entertainment media.Karim Nader, Paul Toprac, Suzanne Scott & Samuel Baker - forthcoming - AI and Society:1-14.
    Artificial intelligence is becoming part of our everyday experience and is expected to be ever more integrated into ordinary life for many years to come. Thus, it is important for those in product development, research, and public policy to understand how the public’s perception of AI is shaped. In this study, we conducted focus groups and an online survey to determine the knowledge of AI held by the American public, and to judge whether entertainment media is a major influence on (...)
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