This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative (...) ethical consequences of the phenomenon in this field. (shrink)

We applaud Sedlakova and Trachsel’s work and their description of conversational artificial intelligence (CAI) as possessing a hybrid nature with features of both a tool and an agent (Sedlakova and...

Peter-Paul Verbeek elaborates on the concept of “relational freedom” in Moralizing Technology (2011). In this paper, I propose to extend and reinterpret it as a concept of personal autonomy. Generally, studies of autonomy do not examine the use of technology thoroughly, because these studies mainly focus on an individual’s mental process regarding reasons or motives. Consequently, these studies fail to understand technological aspects that contribute to the agent’s actions and decisions. When we take into consideration that our autonomous behaviors and (...) lives are highly intertwined with technologies, it becomes necessary to clarify the aspect of autonomy that relates to the use of technology. This is where Verbeek’s relational freedom comes into play. This is because it refers to the set of capacities to constitute one’s subjectivity in the process of deliberately using technological means. However, some conceptual analysis and critical discussion are necessary. The former includes whether it is a procedural or substantive notion. The latter consists of the problem concerning the correspondence between human participant(s) and a hybrid agent, and the difference between the hybrid agent and a moral subject. (shrink)

College students have taken part in less and less physical activities as a result of the common static lifestyle in recent years, lowering the level of motor function. This phenomenon has been a source of concern for schools and the government, and it is necessary to take corresponding measures to change it. The general motor function level of Chinese college students is explored first based on artificial intelligence and the human–computer interaction technology. The Physical Activity Questionnaire for College Students is (...) compiled by referring to the International Physical Activity Questionnaire, and 561 students from colleges in Tianjin province are assessed based on the functional movement screen. Spearman correlation and multivariate regression analysis are used to analyze the correlation between the motor function and physical activity status. In terms of lunch break frequency, the proportion of students having one to two lunch breaks in a week is the highest ; in terms of the frequency of doing moderate physical exercise, the proportion of students doing moderate physical exercise for 1–2 days in a week is the highest ; in terms of the frequency of doing heavy physical exercise, the proportion of students doing heavy exercise for 1–2 days in a week is the highest ; in terms of the sedentary time, the proportion of students with sedentary time more than 5 h in a day is the highest ; in terms of eye use time, the proportion of students with 8–10 h eye use time in a day is the highest. Besides, in terms of the FMS score, the proportion of students with 13–15 FMS is the highest. The hurdle step, straight knee lift, and body rotation stability have a relatively low proportion among the three-point items. There is a positive correlation between motor function score with the time of moderate exercise and the time of heavy exercise. College students generally have insufficient rest time, long eye use time, and long sitting time, leading to a low level of motor function, manifested by an asymmetry between both sides of the body and poor trunk stability. It is recommended to add hurdling steps, straight knee lifts, and body rotation stability tests to college physical education courses. (shrink)

As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision-making under moral uncertainty and we operationalize it through a latent class choice model. The core idea being that moral heterogeneity in society can be codified in terms of a small number of (...) classes with distinct moral preferences and that this codification can be used to express moral uncertainty of an AI. Choice analysis allows for the identification of classes and their moral preferences based on observed choice data. Our reformulation of the metanormative framework is theory-rooted and practical in the sense that it avoids runtime issues in real time applications. To illustrate our approach we conceptualize a society in which AI Systems are in charge of making policy choices. While one of the systems uses a baseline morally certain model, the other uses a morally uncertain model. We highlight cases in which the AI Systems disagree about the policy to be chosen, thus illustrating the need to capture moral uncertainty in AI systems. (shrink)