Ying-Tung Lin

What is it to grieve? What is the nature of grief? An intuitive and straightforward answer to these questions, one that will be familiar to all of us, is that grief is an emotional reaction to the death of a close loved one. Grief is intimately connected to bereavement. However, grief can arise in situations beyond the death of a significant other and is revealed to be a much more complex and heterogeneous experience. People can grieve over all sorts of losses. What makes our response to these losses one of grief? We can understand all these losses as involving a loss of life possibilities, which impacts one’s practical identity and who one takes oneself to be. Importantly, a close examination of the phenomenology of chronic pain helps illuminate the ways in which it also involves the kind of losses that we can grieve over. The losses involved in experiences of chronic pain impact one’s practical identity in ways that can lead to grief. This chronic pain grief remains largely unrecognized, however. We outline four epistemic barriers to recognizing the grief involved in experiences of chronic pain.

Carebots are robots developed to assist users within healthcare contexts. The current literature on carebots and their impacts on autonomy has standardly discussed only some components of autonomy rather than offering a comprehensive analysis. In this paper, we propose a more thorough framework. This framework applies Catriona Mackenzie’s multidimensional account of autonomy to factors in human–robot interactions that significantly affect personal autonomy. We show, through examining existing carebots with this framework, that their impacts on autonomy are indeed multifaceted. We also argue that their impacts are dynamical in structure, where promoting some conditions of autonomy results in diminishing others or even at the expense of others. One implication of our analysis is that this framework can and should be applied to assess the impacts of carebots upon autonomy at the designing phase, as well as when we consider adopting their use in different contexts.

Dream experiences are heterogenous and involve a complex and varied phenomenology. While mental states like belief and desire can be easily characterised by their attitudes and contents, dreaming seems to involve a variety of attitudes, including beliefs, desires, and more. How do we make sense of dreaming itself as well as its relationship to the attitudes involved? We outline an attitudinal pluralism about dreaming. Attitudinal pluralism is the view that the dream self can adopt a variety of attitudes—beliefs, desires, hopes, fears, etc.—towards the content of the dreamscape. On this view, there are multiple attitudes that the dream self can adopt within the simulated dream world. The best way to understand this pluralism is not by narrowly taking dreaming to just involve thinking itself, but rather by taking dreaming to involve a dream self experiencing thoughts within the dream. The attitudes belong to the dream self (the character one identifies with in the dream) not the dreamer per se (the sleeping subject). This attitudinal pluralism has consequences for thinking about the nature of dream experiences and the content of dream memories. First, the attitudes we experience as part of the dream world seem to go beyond mere phenomenology and may be part of the ontological structure of dream experiences. Second, accuracy in dream memories will involve recalling the various attitudes that one adopted while dreaming. Understood in this way, accuracy in dream memory requires a condition of authenticity, such that the dream memory represents not just the content of the dreamscape, but the way in which the dream subject experienced the dream world. Accurate dream memories will be authentic dream memories.

The relationship between memory and imagination has long intrigued philosophers. One focus of recent debate in this area has been the question whether memory and imagination differ in kind or merely in degree, with discontinuists holding that remembering indeed differs in kind from imagining, while continuists hold that even successful remembering differs from imagining only in degree. Another recent focus has been the need to approach memory and imagination from a broadly normative perspective, in an attempt to explain what it is for remembering and imagining to succeed or fail. The goal of this special issue, which builds on an online workshop organized in 2022 by the Institute of Philosophy of Mind and Cognition at the National Yang Ming Chiao Tung University and the Centre for Philosophy of Memory at the Université Grenoble Alpes, is to explore memory, imagination, and the relation between them from this normative perspective.

Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can be handled more or less independently by technical experts who specialize in XAI methods. Drawing on resources from feminist epistemology, we show why technical XAI is mistaken. Specifically, we demonstrate that the proper detection of algorithmic bias requires relevant interpretive resources, which can only be made available, in practice, by actively involving a diverse group of stakeholders. Finally, we suggest how feminist theories can help shape integrated XAI: an inclusive social-epistemic process that facilitates the amelioration of algorithmic bias.

Imagination and other forms of mental simulation allow us to live beyond the current immediate environment. Imagination that involves an experience of self further enables one to incorporate or utilize the contents of episodic simulation in a way that is of importance to oneself. However, the simulated self can be found in a variety of forms. The present study provides some empirical data to explore the various ways in which the self could be represented in observer-perspective imagination as well as the potential limits on such representations. In observer-perspective imagination, the point of view or perspective is dissociated from the location of one’s simulated body. We have found that while there are different ways to identify with oneself in an observer-perspective imagination, the identification is rarely dissociated from first-person perspective in imagination. Such variety and limits pave the way for understanding how we identify with ourselves in imagination. Our results suggest that the first-person perspective is a strong attractor for identification. The empirical studies and analysis in this paper demonstrate how observer-perspective episodic simulation serves as a special case for research on identification in mental simulation, and similar methods can be applied in the studies of memory and future thinking.

This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems.

Every episodic memory entails a sense of identity, which allows us to mentally travel through time. There is a special way by which the subject who is remembering comes into contact with the self that is embedded in the episodic simulation of memory: we can directly and robustly experience the protagonist in memory as ourselves. This paper explores what constitutes such experience in memory. On the face of it, the issue may seem trivial: of course, we are able to entertain a sense of identity—the experience of our recollection structurally resembles our perception of the original event. However, given the phenomenon of observer memory, in which our visual perspective is decoupled from our embodied dimension, it is unclear whether it is the observing or the embodied one that is identified. This phenomenon is important not only in illustrating the complexity of identification but also in assessing how best to address it. In this paper, the issue is analyzed through concepts introduced from the literature on bodily self-consciousness. The potential approaches to addressing the issue of identification are examined, including the inheritance view, according to which the identification relies on the inheritance of mnemonic content from the original experience. I propose and argue for the self-simulation view, which suggests that what results in the experience of “I am this” in memory is the observing and the embodied dimensions as well as the relation between them, which enable different ways of projecting oneself into an episodic simulation.

The connection between memory and self-consciousness has been a central topic in philosophy of memory. When remembering an event we experienced in the past, not only do we experience being the subject of the conscious episode, but we also experience being the protagonist in the memory scene. This is the “phenomenal presence of self.” To explore this special sense of self in memory, this paper focuses on the issue of how one identifies oneself in episodic simulation at the retrieval of memory and draws attention to the field and observer perspectives in episodic memory. Metzinger (2013a; 2017; 2013b) recently introduced the concept of the phenomenal unit of identification (UI) to characterize the phenomenal property that gives rise to the conscious experience of “I am this.” This paper shows how observer-perspective remembering provides an interesting opportunity for studying the sense of self. It is argued that observer-perspective remembering is a stable state of consciousness that is distinct from autoscopic phenomena with respect to the dimensions of minimal phenomenal self (MPS). Together, the notion of UI and the particular style of remembering offer a way of understanding the phenomenal presence of self, and three possible ways in which phenomenal properties constitute UI in memory are raised. The study of perspectives in episodic simulation may prompt new empirical and conceptual issues concerning both the sense of identity and the relationship between minimal phenomenal self and extended self.

Our growing understanding of human mind and cognition and the development of neurotechnology has triggered debate around cognitive enhancement in neuroethics. The dissertation examines the normative issues of memory enhancement, and focuses on two issues: the distinction between memory treatment and enhancement; and how the issue of authenticity concerns memory interventions, including memory treatments and enhancements. rnThe first part consists of a conceptual analysis of the concepts required for normative considerations. First, the representational nature and the function of memory are discussed. Memory is regarded as a special form of self-representation resulting from a constructive processes. Next, the concepts of selfhood, personhood, and identity are examined and a conceptual tool—the autobiographical self-model —is introduced. An ASM is a collection of mental representations of the system’s relations with its past and potential future states. Third, the debate between objectivist and constructivist views of health are considered. I argue for a phenomenological account of health, which is based on the primacy of illness and negative utilitarianism.rnThe second part presents a synthesis of the relevant normative issues based on the conceptual tools developed. I argue that memory enhancement can be distinguished from memory treatment using a demarcation regarding the existence of memory-related suffering. That is, memory enhancements are, under standard circumstances and without any unwilling suffering or potential suffering resulting from the alteration of memory functions, interventions that aim to manipulate memory function based on the self-interests of the individual. I then consider the issue of authenticity, namely whether memory intervention or enhancement endangers “one’s true self”. By analyzing two conceptions of authenticity—authenticity as self-discovery and authenticity as self-creation, I propose that authenticity should be understood in terms of the satisfaction of the functional constraints of an ASM—synchronic coherence, diachronic coherence, and global veridicality. This framework provides clearer criteria for considering the relevant concerns and allows us to examine the moral values of authenticity. rn