현재 한국 사회에서는 ‘혐오’와 관련한 여러 현상 및 그와 관련한 찬반 논의들이 나타나고 있다. 그러나 단순히 ‘혐오’라는 단어를 통해서만 이 모든 문제를 이해하고 판단하려는 것은 위험할 수 있다. 현재 문제가 되고 있는 혐오는 정의롭지 못한 상황이라는 판단, 믿음을 함께 동반하고 있기 때문이다. 누스바움의 혐오와 수치심이라는 감정에 대한 접근은 현재 한국 사회에서 제기되고 있는 ‘혐오’와 관련된 일련의 문제들을 분석하는 틀로 온전히 기능하기 힘들다. 이는 먼저 우리가 논의하는 혐오와 누스바움이 이해하는 혐오가 서로 다른 구도에 놓여 있기 때문이다. 그리고 이는 누스바움이 근대 합리론 (...) 철학자들이 보여준 단순한 감정이 아닌 복합정서로서 ‘혐오’가 움직이는 메커니즘을 법리적으로 단순화해서 파악한 점도 문제라 할 수 있다. 따라서 우리 사회에서 공정성의 문제와 관련해 표출되는 혐오 현상의 문제를 다루기 위해 먼저 필요한 일은 그 밑바탕에 깔린 분노의 문제와 그러한 분노가 어떤 대상을 어떻게 겨냥하고 있느냐를 정확히 살피는 일이다. (shrink)

This paper contributes to biodiversity and species extinction literature by examining the relationship between corporate accountability in terms of species protection and factors affecting such accountability from forward-thinking companies. We use triangulation of theories, namely deep ecology, legitimacy, and we introduce a new perspective to the stakeholder theory that considers species as a ‘stakeholder’. Using Poisson pseudo-maximum likelihood regression, we examine a sample of 200 Fortune Global companies over 3 years. Our results indicate significant positive relations between ecologically conscious companies (...) that are accountable for the protection of biodiversity and species extinction and external assurance, environmental performance, partnerships with socially responsible organizations and awards for sustainable activities. Our empirical results appear to be robust in controlling for possible endogeneities. Our findings contribute to the discussion on the concern of species loss and habitat destruction in the context of corporate accountability, especially in responding to the sixth mass extinction event and COVID-19 crisis. Our results can also guide the policymakers and stakeholders of the financial market in better decision making. (shrink)

On reviewing the literature regarding acceptance and trust in human-robot interaction (HRI), there are a number of open questions that needed to be addressed in order to establish effective collaborations between humans and robots in real-world applications. In particular, we identified four principal open areas that should be investigated to create guidelines for the successful deployment of robots in the wild. These areas are focused on: (1) the robot’s abilities and limitations; in particular when it makes errors with different severity (...) of consequences, (2) individual differences, (3) the dynamics of human-robot trust, and (4) the interaction between humans and robots over time. In this paper, we present two very similar studies, one with a virtual robot with human-like abilities, and one with a Care-O-bot 4 robot. In the first study, we create an immersive narrative using an interactive storyboard to collect responses of 154 participants. In the second study, 6 participants had repeated interactions over three weeks with a physical robot. We summarise and discuss the findings of our investigations of the effects of robots’ errors on people’s trust in robots for designing mechanisms that allow robots to recover from a breach of trust. In particular, we observed that robots’ errors had greater impact on people’s trust in the robot when the errors were made at the beginning of the interaction and had severe consequences. Our results also provided insights on how these errors vary according to the individuals’ personalities, expectations and previous experiences. (shrink)

Originally published in 1936, this book presents the ancient Greek text of the paraphrases and quotations of Zeno's philosophical arguments, together with a facing-page English translation and editorial commentary. Detailed notes are incorporated throughout and a bibliography is also included. This book will be of value to anyone with an interest in Zeno and ancient philosophy.

An ethics of bewilderment, which differs dramatically from the more familiar ethics of ease, is best understood through poetic presentations. Using examples drawn from Chinese and Western sources—notably Du Fu and Dante—this inquiry treats bewilderment as both an emotion and a virtue. Both these forms of bewilderment involve an acknowledgment of how minimal is the ethical confidence we have, given the feelings we have and the judgments we must make, but they also extend in productive ways the implications of that (...) acknowledgment. (shrink)

What is post-truth? -- Science denial as a road map for understanding post-truth -- The roots of cognitive bias -- The decline of traditional media -- The rise of social media and the problem of fake news -- Did post-modernism lead to post-truth? -- Fighting post-truth.

Is a human more conscious than an octopus? In the science of consciousness, it’s oftentimes assumed that some creatures (or mental states) are more conscious than others. But in recent years, a number of philosophers have argued that the notion of degrees of consciousness is conceptually confused. This paper (1) argues that the most prominent objections to degrees of consciousness are unsustainable, (2) examines the semantics of ‘more conscious than’ expressions, (3) develops an analysis of what it is for a (...) degreed property to count as degrees of consciousness, and (4) applies the analysis to various theories of consciousness. I argue that whether consciousness comes in degrees ultimately depends on which theory of consciousness turns out to be correct. But I also argue that most theories of consciousness entail that consciousness comes in degrees. (shrink)

Purpose The online economy has not resolved the issue of racial bias in its applications. While algorithms are procedures that facilitate automated decision-making, or a sequence of unambiguous instructions, bias is a byproduct of these computations, bringing harm to historically disadvantaged populations. This paper argues that algorithmic biases explicitly and implicitly harm racial groups and lead to forms of discrimination. Relying upon sociological and technical research, the paper offers commentary on the need for more workplace diversity within high-tech industries and (...) public policies that can detect or reduce the likelihood of racial bias in algorithmic design and execution. Design/methodology/approach The paper shares examples in the US where algorithmic biases have been reported and the strategies for explaining and addressing them. Findings The findings of the paper suggest that explicit racial bias in algorithms can be mitigated by existing laws, including those governing housing, employment, and the extension of credit. Implicit, or unconscious, biases are harder to redress without more diverse workplaces and public policies that have an approach to bias detection and mitigation. Research limitations/implications The major implication of this research is that further research needs to be done. Increasing the scholarly research in this area will be a major contribution in understanding how emerging technologies are creating disparate and unfair treatment for certain populations. Practical implications The practical implications of the work point to areas within industries and the government that can tackle the question of algorithmic bias, fairness and accountability, especially African-Americans. Social implications The social implications are that emerging technologies are not devoid of societal influences that constantly define positions of power, values, and norms. Originality/value The paper joins a scarcity of existing research, especially in the area that intersects race and algorithmic development. (shrink)