Organizations of all kinds, as well as their in-house or agency public relations teams, increasingly co-opt Artificial Intelligence (AI) to enhance their capabilities. This paper examines a relatively new topic that has received little scholarly attention: the growing relationship between AI and public relations. It outlines several key roles that AI may play in future, based on trends in other industries, and considers the implications for public relations practitioners, their clients and employers. It therefore launches a dialogue about the diversity and extent of AI’s uses in public relations practice. The paper argues that, to date, commentators have placed too much emphasis on AI’s potential for task automation; AI’s broader technological, economic and societal implications for public relations warrant greater critical attention. This does not imply that practitioners need become expert technologists; rather, they should develop a sufficient understanding of AI’s present and potential uses to be able to offer informed counsel. 相似文献
Over the past five years the Artificial Intelligence Center at SRI has been developing a new technology to address the problem of automated information management within real- world contexts. The result of this work is a body of techniques for automated reasoning from evidence that we call evidential reasoning. The techniques are based upon the mathematics of belief functions developed by Dempster and Shafer and have been successfully applied to a variety of problems including computer vision, multisensor integration, and intelligence analysis.
We have developed both a formal basis and a framework for implementating automated reasoning systems based upon these techniques. Both the formal and practical approach can be divided into four parts: (1) specifying a set of distinct propositional spaces, (2) specifying the interrelationships among these spaces, (3) representing bodies of evidence as belief distributions, and (4) establishing paths of the bodies for evidence to move through these spaces by means of evidential operations, eventually converging on spaces where the target questions can be answered. These steps specify a means for arguing from multiple bodies of evidence toward a particular (probabilistic) conclusion. Argument construction is the process by which such evidential analyses are constructed and is the analogue of constructing proof trees in a logical context.
This technology features the ability to reason from uncertain, incomplete, and occasionally inaccurate information based upon seven evidential operations: fusion, discounting, translation, projection, summarization, interpretation, and gisting. These operation are theoretically sound but have intuitive appeal as well.
In implementing this formal approach, we have found that evidential arguments can be represented as graphs. To support the construction, modification, and interrogation of evidential arguments, we have developed Gister. Gister provides an interactive, menu-driven, graphical interface that allows these graphical structures to be easily manipulated.
Our goal is to provide effective automated aids to domain experts for argument construction. Gister represents our first attempt at such an aid. 相似文献
The aim of this study was to investigate the effect of experience of childhood abuse among university students on self-perception and submissive behavior.
Methods
The study group consisted of 646 students attending various departments of the Karadeniz Technical University Faculty of Education in Trabzon, Turkey. Participants were administered the Childhood Trauma Questionnaire, the Social Comparison Scale and the Submissive Acts Scale in a classroom setting.
Results
Analysis revealed a significant negative correlation between self-perception and all forms of abuse (physical abuse, sexual abuse, and emotional abuse and neglect), and a positive correlation between submissive behavior and all forms of abuse. The students' emotional abuse and neglect scores varied significantly according to gender, with males having higher emotional abuse and neglect scores than those of girls. Additionally, males had higher physical abuse scores than girls.
Conclusion
Childhood abuse emerged as a significant predictor of negative self-perception and submissive behavior. In addition, with the exception of sexual abuse, other forms of abuse vary according to gender. The experiences of childhood abuse may have a long-term impact on various features of character and behavior. 相似文献
The dual model of perfectionism (Slade and Owens, Behav Modificat 22(3):372–390, 1998) is adopted to examine the influence
of adaptive and maladaptive perfectionism on adolescent athlete burnout in Taiwan. Participants were 188 high school adolescent
student-athletes (M = 16.48, SD = .59). They were administered the Multidimensional Inventory of Perfectionism in Sport (Stoeber et al., Pers Individ Dif
43(1):131–141, 2007) and the Chinese Athlete Burnout Questionnaire (ABQ) (Lu et al., Phys Educ J 39(3):83–94, 2006). A field
longitudinal design was used. In cross-sectional analyses, hierarchical multiple regressions indicated that adaptive perfectionism
negatively predicted athlete burnout while maladaptive perfectionism had an inverse relationship with burnout. However, after
controlling for the initial scores of burnout, neither adaptive nor maladaptive perfectionism significantly predicted athlete
burnout after a three month interval. Possible mechanisms of this relation, limitations, and practical implications are discussed. 相似文献