Although the idea that sexual violence is a “structural” problem is not new, the lack of specification as to what that entails blocks effective responses to it. This paper illustrates the concept of sexual violence as structural in the sense of containing a type of moral wrong called “structural wrong” and discusses its practical implications. First, I introduce a distinction between two types of moral wrongs—interactional wrongs and structural wrongs—and I argue that the moral problem of sexual violence includes both (...) types, each of which calls for a different set of moral responses. Second, drawing on Iris Marion Young’s social connection model of responsibility, I argue that recognizing the structural-wrong element of sexual violence does not reduce individual perpetrators’ responsibility for it. Instead, it implies that a broader group of agents are required to join collective actions to reform the social structure. I conclude by evaluating some preventive programs against sexual violence through the lens of structural wrongs and providing directions to advance them. (shrink)

In ‘Equity and Marxist Buddhism,’ Tzu-wei Hung engages with the Marxist Buddhism developed by Taiwanese philosopher Lin Qiu-wu in the 1920s, brings this underexplored theory to the table and discusses a few merits and insights of the theory. Building on Hung’s analysis, this paper paper elaborates on the lessons and insights that Taiwanese Marxist Buddhism provides for modern times. The first three lessons are distinctive points that Taiwanese Marxist Buddhism brings to the discussion on combining Marxism and Buddhism: the connections (...) between the ethical and political, the responsibility for pursuing social justice and the nonviolence means towards social justice. The last lesson comes at the meta-philosophical level, focusing on how Hung’s engagement with Taiwanese Marxist Buddhism sheds light on the issue of diversifying the discipline philosophy. Overall, I argue that Taiwanese Marxist Buddhism not only makes contributions to theoretical frameworks while providing a practical means for pursuing equity and social justice, but it also manifests the epistemic and moral values for engaging with under-represented philosophical traditions. (shrink)

Matti Eklund (2017) has argued that ardent realists face a serious dilemma. Ardent realists believe that there is a mind-independent fact as to which normative concepts we are to use. Eklund claims that the ardent realist cannot explain why this is so without plumping in favor of their own normative concepts or changing the topic. The paper first advances the discussion by clarifying two ways of understanding the question of which normative concepts to choose: a theoretical question about which concepts (...) have the abstract property of being normatively privileged and a further practical question of which concepts we are to choose even granting some concepts are thus privileged. I argue that the ardent realist’s best bet for answering the theoretical question while avoiding Eklund’s dilemma is to provide a real definition of this property. I point out the difficulties for providing such a definition. I then argue that even with an answer to the theoretical question, the ardent realist faces a further dilemma in answering the practical question. In sum, though I see no knock-down argument against ardent realism, it may nonetheless die a death by a thousand cuts. I close by considering a deeper reason for why ardent realism is so difficult to defend: every argument starts somewhere. It is unclear how there can be an Archimedean point that makes no reference to any normative concepts that can nonetheless be employed to convince everyone to adopt ours. I then briefly propose two options for someone still inclined towards realism: (i) accept that our normative concepts are normatively privileged without attempting to explain why this is so, or (ii) be less ardent and accept a perspective-dependent account of normativity. (shrink)

What distinguishes low, middle, and high art? In this article, I give an ameliorative analysis of these concepts. On what I call the Capacity View, the distinction between low, middle, and high art depends on the relation between an artwork’s perceiver (specifically her aesthetic responsive capacities) and the perceived artwork. Though the Capacity View may not align perfectly with folk usage, the view is worth our attention due to three attractive upshots. First, it explains how an artwork’s status level can (...) be elevated or lowered over time and why biases can lead to mistaken judgments about such statuses. Second, it sheds light on the idea of cultural inheritance and why certain forms of aesthetic deference may be justified. Finally, it explains how high, middle, and low art each make distinctive contributions to the good life. (shrink)

Structural injustice exists when the influence of social structure exposes some groups of people to undeserved burdens while conferring unearned power to others. It has been argued that the responsibility for addressing structural injustices should be shared among those participating in the social structure and can only be discharged through collective action; however, the proper form of collective action does not happen easily. To address structural injustice effectively, we need to gain clarity on the practical challenges that are involved and (...) explore possible means of implementing shared responsibility. This chapter thus aims to contribute to the study of addressing structural injustice in the following two ways. First, building on previous studies, I categorize three forms of practical challenges that have been encountered by existing proposals for discharging shared responsibility for structural injustice. Second, I offer an alternative proposal, which I will refer to as the deliberative mini-public proposal, and argue that it has the potential to mobilize structural change and better overcome the identified practical challenges. (shrink)

This study explores the connections between time, travel, and creative acts such as painting and poetry, highlighting the similarities that unite these themes. It also focuses on the relationships between the East and the West in regards to these subjects, and posits that travel can be understood as an active form of meditation. The study argues that the meaning of wanderings can be found by learning to make them conscious, and that there has been a deep reflection on time, consciousness, (...) and mobility since ancient times. (shrink)

The rationalist lover accepts that whom she ought to love is whom she has most reason to love. She also accepts that the qualities of a person are reasons to love them. This seems to suggest that if the rationalist lover encounters someone with better qualities than her beloved, then she is rationally required to trade up. In this paper, I argue that this need not be the case and the rationalist lover can have just about as normal if not (...) a better romantic life than anyone could hope for. This is because we often do possess most reason to love our beloveds. To see why this is so, we have to think more carefully about (i) how we come to possess reasons for love and (ii) the higher-order reasons that govern whether we should seek or refrain from possessing said reasons. Reflection on these issues leads to what I call the Possession-Commitment Account of Love’s Reasons. I use this account to address additional worries for love rationalism and highlight how being rational about love can potentially get us out of romantic messes. I conclude that if being a rationalist about love is plausible after all, then we have reason to hope that being rational about other areas of our practical lives is plausible as well. (shrink)

This paper summarizes the evolution of analytic philosophy in Taiwan, examines its impact within and beyond academia, and discusses the future of the discipline. The roots of modern philosophy in Taiwan can be traced back to the Japanese colonial era, and analytic philosophy was introduced to the country in the late 1940s when many intellectuals in China moved to Taiwan. However, massive curbs were imposed on philosophy during Chiang Kai-shek’s dictatorship, and the discipline began to thrive again only after Taiwan’s (...) democratization in the late 1980s. Nonetheless, since its introduction in the colonial era, modern philosophy has made significant contributions in Taiwan, encouraging interdisciplinary engagements, advancing civic education, and promoting the spirit of democracy and political liberation. Philosophy has played a key role in Taiwan’s remarkable transformation from an island colonized for hundreds of years to a country that recognizes democracy, freedom, and human rights. The themes of anti-colonialism and anti-domination seen in the works of modern Taiwanese philosophers not only reflect the discipline’s political and historical underpinnings but also signal how Taiwanese philosophy can acquire a distinct identity, despite being influenced by many other philosophical traditions. While still at a nascent stage, Taiwanese philosophy has the potential to join forces with other philosophical traditions in advancing the vision of decolonizing philosophy. (shrink)

Beyond the eras a dialogue seems to have been established between Bruegel the Elder (1525-1569) and Antonin Artaud (1896-1948). The poet’s wonder at the « painting of the North », both realistic and emblematic, reveals his deepest ideal as an artist : painting, a « magical » operation, deploys a power of expression based on signs and no longer on words, which the theatre is also called upon to seize. The juxtaposition of Bruegel’s Triumph of Death and a famous drawing (...) by Artaud, Le Théâtre de la cruauté [The Theatre of Cruelty], highlights the striking convergences between the two artists. Through their pictorial works, both of them renew over the centuries the funerary and mythical symbolism of death, inherited from the macabre scenes of medieval paintings, but also from ancient times. Studying the references to theatrical iconography in Bruegel’s painting, where carnival and crudity of death reinforce each other, allows us to deepen the meaning of these resonances. For the two artists, form and poetic momentum meet so that representation, as a structure common to painting and theatre, fixes a moment of the world, while animating that moment to infinity, thanks to signs conceived as « true hieroglyphs » (Artaud), a problem that Michel Foucault associated with the strongest truth that the experience of madness carries. (shrink)

L’une des activités de l’imagination, opération qui prend sa source dans l’imaginaire, consiste à faire des parcours dans l’espace et dans le temps du monde. Le flâneur parcoure des variations de paysages et d’horizons, comme une séquence imaginative. Il existe une liaison logique entre la marche, le récit, la peinture et le mythe : dans chacun de ces cas, l’imagination est fortement stimulée. Chacun d’entre eux est un moyen de cheminer selon des voies vers une Vérité supérieur. La marche est, (...) pour l’individu, une quête à plusieurs dimensions : quête de connaissances sur le monde, sur soi-même ; quête de sa véritable identité ou quête d’une Vérité supérieure (comme dans le cas des pèlerinages) ; le mythe, la religion, la peinture et l’écriture sont, de même, des expressions des cheminements vers telle ou telle Vérité. Le thème de la marche nous offre donc l’occasion de porter un regard particulier sur l’esprit hétéroclite du voyageur, collectionneur d’objets, de traces. Mais aussi, au contraire, du sujet qui s’évide, comme chez les taoïstes. Cet essai vise réfléchir sur le parcours du voyageur en insistant sur les liens multiples qui président au temps, à l’acte de marcher, et celui de la réflexion esthétique, en spécial, la peinture et la poésie. Cependant, si ces réflexions nous poussent vers une considération sur le temps et la durée, nous essayons ici de les conduire sur les liens entre l'Orient et l'Occident à cet égard. (shrink)

Um exemplar do livro intitulado Notas sobre a arte chinesa, publicado pelo colecionador José Vicente Jorge em 1940 e reeditado em 1995 pelo Instituto Cultural de Macau, encontra-se no acervo do Real Gabinete Português de Leitura, o qual pretendemos explorar. Apontamos a obra de um colecionador como ponto de partida para a observação de seu papel como mediador linguístico e cultural. A escolha das obras que compõem seu catálogo de objetos artísticos fornece uma descrição cronológica da arte chinesa e das (...) suas principais produções em cada dinastia. Ademais, analisaremos as obras de um pintor atuante em Macau na época em que Jorge escrevera suas Notas. Assim, veremos de que maneira a obra pictórica de Fausto Sampaio insere-se na tradição naturalista de pintura que, desde meados do século XIX, procura fixar em telas a diversidade dos costumes nacionais. Sampaio vem a ser testemunha ocular do Império ultramarino português. Estudaremos como suas imagens foram instrumentalizadas com fins políticos, desempenhando um papel na construção de uma identidade nacional continuamente evocada pela propaganda do Estado Novo. (shrink)

Edvard Munch (Løten, 1863 — Ekely, 1944), Antonin Artaud (Marseille 1896–Paris 1948): deux artistes bouleversés par des conditions de santé fragile et par des crises nerveuses. Une relation s’instaure entre eux. Chacun, de manière particulière, invite le spectateur à réviser son rapport avec la mort, la mélancolie et les forces de la nature. Tantôt cette relation s’exprime dans les écrits personnels d’Artaud ; tantôt elle apparaît dans le rapprochement que nous pouvons faire entre les oeuvres graphiques d’Artaud, qui mettent en (...) exergue l’influence qui a exercé le peintre norvégien dans sa démarche artistique. Plus tard, l’approximation d’Artaud à la peinture devient plus évidente. Lui-même, non seulement poète et homme de théâtre, est aussi dessinateur et, comme témoigne nombre de ses documents écrits, porte une grande appréciation par l’art d’El Greco, Bosch, Lucas de Leyde, Bruegel et Goya. Cette étude comparative vise analyser le processus d’intertextualité qui accompagne Artaud tout au long de sa vie et qui commence précocement, quand il observe et traduit les références recueillies d’après d’autres artistes. Avec ceux-ci, il est possible de tracer une correspondance, non seulement artistique, mais aussi biographique avec Artaud. Ce projet présente des contributions pour la critique littéraire d'Antonin Artaud. Même si d'autres études ont fait le rapport entre son œuvre et la peinture, et celle d’Edward Munch, il y n’existe aucune étude plus détaillé autour du sujet. (shrink)

Cet essai vise réfléchir sur le parcours du voyageur en insistant sur les liens multiples qui président à l’acte de marcher et à celui de la réflexion esthétique, en spécial, la peinture, la poésie et la performance. Si ces réflexions nous poussent vers une considération sur le temps et sa durée, nous essayons ici de les conduire sur les rapports entre l'Orient et l'Occident à cet égard. Nous allons illustrer ces différences et similitudes à travers la comparaison entre l’ascension du (...) mont Ventoux per Francesco Pétrarque (Arezzo 1304 – 1374 Arquà) et l’ascension du mont Lu per François Cheng (né à Nanchang 1929). -/- This essay reflects on the course of the traveler, emphasizing several links that govern the act of walking, aesthetics, with special attention to painting, poetry and performance. We hope to see how the East and the West reflect time and duration. We aim to illustrate these differences and similarities by comparing the ascent of the Mount Ventoux, by Francesco Petrarca (Arezzo 1304-1374 Arquà), and the ascent of the Mount Lu, by François Cheng (born in Nanchang 1929). (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

Despite the importance of human blood to clinical practice and research, hematology and blood transfusion data remain scattered throughout a range of disparate sources. This lack of systematization concerning the use and definition of terms poses problems for physicians and biomedical professionals. We are introducing here the Blood Ontology, an ongoing initiative designed to serve as a controlled vocabulary for use in organizing information about blood. The paper describes the scope of the Blood Ontology, its stage of development and some (...) of its anticipated uses. (shrink)

Hiện nay, chế độ sở hữu ở Việt Nam đã có những đổi mới cơ bản, nhưng vẫn còn những khác biệt rất lớn so với chế độ sở hữu ở các nền kinh tế thị trường hiện đại. Trong cơ cấu của chế độ sở hữu ở Việt Nam, tỷ trọng của sở hữu nhà nước còn quá lớn; kinh tế nhà nước giữ vai trò chủ đạo… Chính những khác biệt này đã làm cho nền kinh tế thị (...) trường Việt Nam bị méo mó và giảm lợi thế cạnh tranh quốc gia. Do vậy, công cuộc đổi mới và hoàn thiện chế độ sở hữu ở Việt Nam phải hướng tới việc khắc phục những hạn chế trên và đạt tới sức cạnh tranh ngang hàng với các nền kinh tế thị trường hiện đại khác. (shrink)

(Mặt trận) - Chế độ sở hữu trong nền kinh tế thị trường định hướng xã hội chủ nghĩa Việt Nam trước hết phải tuân theo các nguyên tắc của nền kinh tế thị trường hiện đại. Trong các nguyên tắc của nền kinh tế thị trường hiện đại, nguyên tắc sở hữu tư nhân là nền tảng của nền kinh tế thị trường - là nguyên tắc quan trọng. Xa rời nguyên tắc này, dù chúng ta cố gắng xây (...) dựng nền kinh tế thị trường thì đó vẫn là một nền kinh tế thị trường khó được quốc tế công nhận. Sở hữu tư nhân hiện đại là chế độ sở hữu được cổ phần hóa, được xã hội hóa rất cao, công khai, minh bạch trên các thị trường chứng khoán. Tính xã hội cao của chế độ cổ phần hóa đã được C.Mác đánh giá, xem như là chế độ sở hữu quá độ sang hình thái kinh tế - xã hội mới. (shrink)

ĐỀ CƯƠNG HỌC PHẦN VĂN HÓA KINH DOANH 1. Tên học phần: VĂN HÓA KINH DOANH (BUSINESS CULTURE) 2. Mã học phần: BMGM1221 3. Số tín chỉ: 2 (24,6) (để học được học phần này, người học phải dành ít nhất 60 giờ chuẩn bị cá nhân).

本文深入探討人工智慧（AI）於實現共同福祉與幸福、公平與非歧視、理性公共討論及自主與控制之倫理與正義重要性與挑戰。以中央研究院LLM事件及國家科學技術委員會（NSTC）AI技術研發指導方針為基礎，本文 分析AI能否滿足人類共同利益與福祉。針對AI不公正，本文評估其於區域、產業及社會影響。並探討AI公平與非歧視挑戰，尤其偏差數據訓練問題，及後處理監管，強調理性公共討論之重要性。進而，本文探討理性公眾於 公共討論中之挑戰及應對，如STEM科學素養與技術能力教育之重要性。最後，本文提出“以人為本”方法，非僅依賴AI技術效用最大化，以實現AI正義。 -/- 關鍵詞：AI倫理與正義、公平與非歧視、偏差數據訓練、公共討論、自主性、以人為本的方法.

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

Advancements in machine learning have fuelled the popularity of using AI decision algorithms in procedures such as bail hearings, medical diagnoses and recruitment. Academic articles, policy texts, and popularizing books alike warn that such algorithms tend to be opaque: they do not provide explanations for their outcomes. Building on a causal account of transparency and opacity as well as recent work on the value of causal explanation, I formulate a moral concern for opaque algorithms that is yet to receive a (...) systematic treatment in the literature: when such algorithms are used in life-changing decisions, they can obstruct us from effectively shaping our lives according to our goals and preferences, thus undermining our autonomy. I argue that this concern deserves closer attention as it furnishes the call for transparency in algorithmic decision-making with both new tools and new challenges. (shrink)

Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks (...) are inadequate for AI-intensive companies. To fully account for contemporary technology, the following categories of evaluation will be developed and featured as vital investing criteria: autonomy, dignity, privacy, performance. With these priorities established, the larger goal is a model for humanitarian investing in AI-intensive companies that is intellectually robust, manageable for analysts, useful for portfolio managers, and credible for investors. (shrink)

Since the release of OpenAI's ChatGPT, the world has entered a race to develop more capable and powerful AI, including artificial general intelligence (AGI). The development is constrained by the dependency of AI on the model, quality, and quantity of training data, making the AI training process highly costly in terms of resources and environmental consequences. Thus, improving the effectiveness and efficiency of the AI training process is essential, especially when the Earth is approaching the climate tipping points and planetary (...) boundaries. It is evident that AI can function better when trained to mimic certain human mental processes. Based on insights from quantum mechanics and the informational entropy-based notion of value, we suggest AI developers can enhance the AI training processes' effectiveness and efficiency by creating and implementing parameter systems that are capable of effectively assigning probabilities to informational quanta. Such systems can help reduce entropy within the system, which lowers the energy required for data storage and processing while decreasing the likelihood of information loss during training. Successfully applying the concept of information entropy-based value in AI development will be crucial for advancing generative AI and achieving AGI in a sustainable manner. (shrink)

Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriate- (...) ness. In terms of decision makers, the use of human decision makers over AIs generally resulted in better perceptions of respectful treatment. In terms of decision valence, people experiencing positive over negative decisions generally resulted in better perceptions of respectful treatment. In instances where these cases conflict, on some indicators people preferred positive AI decisions over negative human decisions. Qualitative responses show how people identify justice concerns with both AI and human decision making. We outline implications for theory, practice, and future research. (shrink)

The increasing demand for transparency in AI has recently come under scrutiny. The question is often posted in terms of “epistemic double standards”, and whether the standards for transparency in AI ought to be higher than, or equivalent to, our standards for ordinary human reasoners. I agree that the push for increased transparency in AI deserves closer examination, and that comparing these standards to our standards of transparency for other opaque systems is an appropriate starting point. I suggest that a (...) more fruitful exploration of this question will involve a different comparison class. We routinely treat judgments made by highly trained experts in specialized fields as fair or well-grounded even though—by the nature of expert/layperson division of epistemic labor—an expert will not be able to provide an explanation of the reasoning behind these judgments that makes sense to most other people. Regardless, laypeople are thought to be acting reasonably—and ethically—in deferring to the judgments of experts that concern their areas of specialization. I suggest that we reframe our question regarding the appropriate standards of transparency in AI as one that asks when, why, and to what degree it would be ethical to accept opacity in AI. I argue that our epistemic relation to certain opaque AI technology may be relevantly similar to the layperson’s epistemic relation to the expert in certain respects, such that the successful expert/layperson division of epistemic labor can serve as a blueprint for the ethical use of opaque AI. (shrink)

This paper is one (among many) approach to the question, “are AIs persons or are they conscious?” from a Heideggerian perspective. Here I argue for two claims. First, I argue that René Girard’s mimetic analysis of mitsein (being-with), one of Heidegger’s foundational concepts, illuminates what Heidegger takes mitsein to be. Second, I claim that this Girardian analysis gives us a way to answer the question of whether AIs have Dasein, to which I argue that the answer is negative. Specifically, I (...) claim that Dasein requires mitsein, and mitsein (according to Girard’s analysis) requires mimesis. Moreover, mimesis requires that the mimetic being finds truth in the mimetic object, that is, it comports in a meaningful way toward the unconcealed object being imitated by Dasein. But since AIs cannot comport in meaningful ways toward the object of imitation, i.e., they are not truth-apt, they cannot engage in mimetic behavior, hence cannot have mitsein. But, necessarily, Dasein is being-with-others, Therefore, AIs cannot have Dasein. If we assume (as I think Heidegger would) that every person has Dasein, we may justifiably conclude that AIs are not persons, at least from a Heideggerian ontology. (shrink)

I discuss an influential argument put forward by Hatherley in theJournal of Medical Ethics. Drawing on influential philosophical accounts of interpersonal trust, Hatherley claims that medical artificial intelligence is capable of being reliable, but not trustworthy. Furthermore, Hatherley argues that trust generates moral obligations on behalf of the trustee. For instance, when a patient trusts a clinician, it generates certain moral obligations on behalf of the clinician for her to do what she is entrusted to do. I make three objections (...) to Hatherley’s claims: (1) At least one philosophical account of interagent trust implies that medical AI is capable of being trustworthy. (2) Even if this account should ultimately be rejected, it does not matter much because what we care mostly about is that medical AI is reliable. (3) It is false that trust in itself generates moral obligations on behalf of the trustee. (shrink)

The hypergrowth and hyperconnectivity of networks of artificial intelligence (AI) systems and algorithms increasingly cause our interactions with the world, socially and environmentally, more technologically mediated. AI systems start interfering with our choices or making decisions on our behalf: what we see, what we buy, which contents or foods we consume, where we travel to, who we hire, etc. It is imperative to understand the dynamics of human-computer interaction in the age of progressively more competent AI. This essay presents five (...) premises to serve as starting points for building our understanding of the “interactions’ in human-computer interactions. (shrink)

Can AI and humans genuinely communicate? In this article, after giving some background and motivating my proposal (§1–3), I explore a way to answer this question that I call the ‘mental-behavioral methodology’ (§4–5). This methodology follows the following three steps: First, spell out what mental capacities are sufficient for human communication (as opposed to communication more generally). Second, spell out the experimental paradigms required to test whether a behavior exhibits these capacities. Third, apply or adapt these paradigms to test whether (...) an AI displays the relevant behaviors. If the first two steps are successfully completed, and if the AI passes the tests with human-like results, this constitutes evidence that this AI and humans can genuinely communicate. This mental-behavioral methodology has the advantage that we don’t need to understand the workings of black-box algorithms, such as standard deep neural networks. This is comparable to the fact that we don’t need to understand how human brains work to know that humans can genuinely communicate. This methodology also has its disadvantages and I will discuss some of them (§6). (shrink)

AI companies are racing to create artificial general intelligence, or “AGI.” If they succeed, the result will be human-level AI systems that can independently pursue high-level goals by formulating and executing long-term plans in the real world. Leading AI researchers agree that some of these systems will likely be “misaligned”–pursuing goals that humans do not desire. This goal mismatch will put misaligned AIs and humans into strategic competition with one another. As with present-day strategic competition between nations with incompatible goals, (...) the result could be violent and catastrophic conflict. Existing legal institutions are unprepared for the AGI world. New foundations for AGI governance are needed, and the time to begin laying them is now, before the critical moment arrives. -/- This Article begins to lay those new legal foundations. It is the first to think systematically about the dynamics of strategic competition between humans and misaligned AGI. The Article begins by showing, using formal game-theoretic models, that, by default, humans and AIs will be trapped in a prisoner’s dilemma. Both parties’ dominant strategy will be to permanently disempower or destroy the other, even though the costs of such conflict would be high. -/- The Article then argues that a surprising legal intervention could transform the game theoretic equilibrium and avoid conflict: AI rights. Not just any AI rights would promote human safety. Granting AIs the right not to be needlessly harmed–as humans have granted to certain non-human animals–would, for example, have little effect. Instead, to promote human safety, AIs should be given those basic private law rights–to make contracts, hold property, and bring tort claims–that law already extends to non-human corporations. Granting AIs these economic rights would enable long-run, small-scale, mutually-beneficial transactions between humans and AIs. This would, we show, facilitate a peaceful strategic equilibrium between humans and AIs for the same reasons economic interdependence tends to promote peace in international relations. Namely, the gains from trade far exceed those from war. Throughout, we argue that human safety, rather than AI welfare, provides the right framework for developing AI rights. This Article explores both the promise and the limits of AI rights as a legal tool for promoting human safety in an AGI world. (shrink)

An AI winter may be defined as the stage when technology, business, and the media come to terms with what AI can or cannot really do as a technology without exaggeration. Through discussion of previous AI winters, this paper examines the hype cycle (which by turn characterises AI as a social panacea or a nightmare of apocalyptic proportions) and argues that AI should be treated as a normal technology, neither as a miracle nor as a plague, but rather as of (...) the many solutions that human ingenuity has managed to devise. (shrink)

A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding both of these dangers would be extremely challenging. While our argument is straightforward and supported by a wide range of pretheoretical moral judgments, it has far-reaching moral implications (...) for AI development. Although the most obvious way to avoid the tension between alignment and ethical treatment would be to avoid creating AI systems that merit moral consideration, this option may be unrealistic and is perhaps fleeting. So, we conclude by offering some suggestions for other ways of mitigating mistreatment risks associated with alignment. (shrink)

An advanced artificial intelligence could pose a significant existential risk to humanity. Several research institutes have been set-up to address those risks. And there is an increasing number of academic publications analysing and evaluating their seriousness. Nick Bostrom’s superintelligence: paths, dangers, strategies represents the apotheosis of this trend. In this article, I argue that in defending the credibility of AI risk, Bostrom makes an epistemic move that is analogous to one made by so-called sceptical theists in the debate about the (...) existence of God. And while this analogy is interesting in its own right, what is more interesting are its potential implications. It has been repeatedly argued that sceptical theism has devastating effects on our beliefs and practices. Could it be that AI-doomsaying has similar effects? I argue that it could. Specifically, and somewhat paradoxically, I argue that it could amount to either a reductio of the doomsayers position, or an important and additional reason to join their cause. I use this paradox to suggest that the modal standards for argument in the superintelligence debate need to be addressed. (shrink)

This paper explores the human experience of game-playing and its implications for artificial intelligence. The author uses phenomenology to examine game-playing from a human-centered perspective and applies it to language games played by artificial intelligences and humans. The paper argues that AI cannot truly play games because it lacks the intentionality, embodied experience, and social interaction that are fundamental to human game-playing. Furthermore, current AI lacks the ability to converse, which is argued to be equivalent to Wittgenstein’s view of engaging (...) in “language games.” The author presents a formal ontology of game playing, agents, and their intentional states, and contrasts human agents playing games with artificial agents “playing games.” The paper concludes that while artificial intelligence can simulate some aspects of human language games, it lacks the essential capacities for game playing, such as cognition, creativity, will, intentionality, understanding, and personhood. (shrink)

As a retired professor, I join in the growing concerns among educators, and others, about plagiarism, especially now that AI tools like ChatGPT are so readily available. However, I feel more caution is needed, regarding temptations to rely on supposed automatic detection tools, like Turnitin, to solve the problems. Students can be unfairly accused if such tools are used unreflectingly. The Toronto Star's online version of this published Op Ed is available at the link shown below. The version attached here (...) is a pre-print, which also includes annotations for my references, which are not displayed in the published version. (shrink)

This paper examines an insoluble Cartesian problem for classical AI, namely, how linguistic understanding involves knowledge and awareness of u’s meaning, a cognitive process that is irreducible to algorithms. As analyzed, Descartes’ view about reason and intelligence has paradoxically encouraged certain classical AI researchers to suppose that linguistic understanding suffices for machine intelligence. Several advocates of the Turing Test, for example, assume that linguistic understanding only comprises computational processes which can be recursively decomposed into algorithmic mechanisms. Against this background, in (...) the first section, I explain Descartes’ view about language and mind. To show that Turing bites the bullet with his imitation game, in the second section I analyze this method to assess intelligence. Then, in the third section, I elaborate on Schank and Abelsons’ Script Applier Mechanism (SAM, hereby), which supposedly casts doubt on Descartes’ denial that machines can think. Finally, in the fourth section, I explore a challenge that any algorithmic decomposition of linguistic understanding faces. This challenge, I argue, is the core of the Cartesian problem: knowledge and awareness of meaning require a first-person viewpoint which is irreducible to the decomposition of algorithmic mechanisms. (shrink)

The young field of AI Safety is still in the process of identifying its challenges and limitations. In this paper, we formally describe one such impossibility result, namely Unpredictability of AI. We prove that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives, even if we know terminal goals of the system. In conclusion, impact of Unpredictability on AI Safety is discussed.

This paper delves into the significance and challenges of Artificial Intelligence (AI) ethics and justice in terms of Common Good and Well-being, fairness and non-discrimination, rational public deliberation, and autonomy and control. Initially, the paper establishes the groundwork for subsequent discussions using the Academia Sinica LLM incident and the AI Technology R&D Guidelines of the National Science and Technology Council(NSTC) as a starting point. In terms of justice and ethics in AI, this research investigates whether AI can fulfill human common (...) interests and welfare. Taking AI injustice as an example, I analyze the practical assessment of AI regarding regional, industrial, and social impacts. Further, this paper discusses the challenges of fairness and non-discrimination in AI, specifically addressing the issue of training on biased data, discussing the acquisition of bias by AI and post-processing supervision issues, and emphasizing the importance of rational public deliberation in this process. Then, this research examines the challenges and countermeasures the rational public faces in public deliberation, such as the importance of education in STEM scientific literacy and technological capabilities. Finally, in discussing AI and autonomy, I propose a 'Human-Centered Approach’ rather than relying solely on the 'Technological Utility Maximization' brought by AI to achieve substantial AI justice. -/- Keywords: AI Ethics and Justice, Fairness and Non-Discrimination, Biased Data Training, Public Deliberation, Autonomy, Human-Centered Approach . (shrink)

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...) solution for the so-called NP-complete problems will also be a solution for any other such problems. Its artificial-intelligence analogue is the class of AI-complete problems, for which a complete mathematical formalization still does not exist. In this chapter we will focus on analysing computational classes to better understand possible formalizations of AI-complete problems, and to see whether a universal algorithm, such as a Turing test, could exist for all AI-complete problems. In order to better observe how modern computer science tries to deal with computational complexity issues, we present several different deep-learning strategies involving optimization methods to see that the inability to exactly solve a problem from a higher order computational class does not mean there is not a satisfactory solution using state-of-the-art machine-learning techniques. Such methods are compared to philosophical issues and psychological research regarding human abilities of solving analogous NP-complete problems, to fortify the claim that we do not need to have an exact and correct way of solving AI-complete problems to nevertheless possibly achieve the notion of strong AI. (shrink)

This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.