Hao Wang

Because existing frameworks in the ethics of AI often miss socio-ethical aspects of AI beyond the micro-level concerns, while structural impacts at meso and macro level raise societal concerns, there is a theoretical and empirical gap in research on AI’s multi-level impacts, and even fewer approaches that can translate insights across these levels into concrete design practices and policy interventions. This chapter introduces the ELSA Lab methodology, aparticipatory, multi-level approach from the Netherlands that engages Quadruple Helix stakeholders(researchers, companies, civilsociety, and policymakers) to broaden the perspectives on responsible AI. Unlike existing frameworks, ELSA Labs address not only micro-level issues but also meso- and macro- level considerations. The chapter outlines the problem and limitations of current frameworks (Sect.2), presents a state-of-the-art overview of ELSA research (Sect.3), introduces the ELSA Lab methodology with its principles and interventions (Sect.4), and concludes with a discussion of its advantages, limitations, and directions for future work.

Specific to the NCSs where sensor signals can be processed centrally, a collaborative design scheme of dynamic game scheduling and advanced control theory was proposed in the present study. Firstly, by using the Jordan standard state space equation of the research object, the three elements of state noncooperative game were built, and the existence and uniqueness of Nash equilibrium solution were verified. In addition, the iterative equation of the scheduling matrix was derived by complying with the designed utility function. Secondly, refer to the number of restricted states the order of sliding mode was determined. And based on it, the corresponding sliding surface was designed. Subsequently, the quadratic optimization theory was adopted to regulate the control value following the implementation of the scheduling strategy to ensure that the control quality was further enhanced in the limited network service. Lastly, a TrueTime simulation example is established to verify the effectiveness of the proposed scheme.

This paper addresses the sliding mode control problem for a class of networked control systems with long time delay and consecutive packet dropout. A new modeling method is proposed, through which time delay and packet dropout are modeled in a unified model described by one Markov chain. To avoid the chattering problem of classic reaching law, a new chattering-free reaching law is proposed. Then with a focus on the problem that controller-actuator channel network condition cannot be foreseen by the controller, a new compensation strategy is proposed, which can effectively compensate for the effect of time delay and packet dropout in controller-actuator channel. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed approach.

First published in 1974. Despite the tendency of contemporary analytic philosophy to put logic and mathematics at a central position, the author argues it failed to appreciate or account for their rich content. Through discussions of such mathematical concepts as number, the continuum, set, proof and mechanical procedure, the author provides an introduction to the philosophy of mathematics and an internal criticism of the then current academic philosophy. The material presented is also an illustration of a new, more general method of approach called substantial factualism which the author asserts allows for the development of a more comprehensive philosophical position by not trivialising or distorting substantial facts of human knowledge.

Accurately mapping legal terminology across languages remains a significant challenge, especially for language pairs like Chinese and Japanese, which share a large number of homographs with different meanings. Existing resources and standardized tools for these languages are limited. To address this, we propose a human-AI collaborative approach for building a multilingual legal terminology database, based on a multi-agent framework. This approach integrates advanced large language models (LLMs) and legal domain experts throughout the entire process—from raw document preprocessing, article-level alignment, to terminology extraction, mapping, and quality assurance. Unlike a single automated pipeline, our approach places greater emphasis on how human experts participate in this multi-agent system. Humans and AI agents take on different roles: AI agents handle specific, repetitive tasks, such as OCR, text segmentation, semantic alignment, and initial terminology extraction, while human experts provide crucial oversight, review, and supervise the outputs with contextual knowledge and legal judgment. We tested the effectiveness of this framework using a trilingual parallel corpus comprising 35 key Chinese statutes, along with their English and Japanese translations. The experimental results show that this human-in-the-loop, multi-agent workflow not only improves the precision and consistency of multilingual legal terminology mapping but also offers greater scalability compared to traditional manual methods. Additionally, we observed that several open-source large language models performed exceptionally well in legal terminology extraction, demonstrating their cost-effectiveness and potential for sustainable applications in multilingual legal natural language processing (NLP). Finally, the open, extensible platform we developed supports continuous expert curation and can be easily integrated into various legal translation, research, and AI-powered knowledge management tools.

AI can fundamentally shape our society, raising significant ethical, legal, and social aspects that need careful consideration. Therefore, it is important to educate and train engineering students developing and using AI about ethical, legal, and social aspects. However, teaching this to engineering students with no ethics background poses unique challenges, as engineering is more focused on the development of particular technologies. In addition, engineering education often focuses on artefact-level ethical, legal, and social aspects of AI, such as data privacy and transparency, while recent research shows that structural impacts (e.g., surveillance, instrumentalization, and deskilling) should also be included in responsible AI research. So, how can we effectively educate engineers about ethical, legal, and social aspects, particularly when it comes to structural impacts of AI? This article develops an Educational Intervention to help young engineers identify both artefact-level and broader structural ethical, legal, and social aspects of AI. This Educational Intervention includes a series of lectures that provide a theoretical analysis of ethical, legal, and social aspects in AI, and an in-class Product Impact Tool to help students systematically diagnose ethical, legal, and social aspects in an AI case. We suggest that the combination of active/passive learning is important to this Intervention, but what sets it apart is its use of the adjusted Product Impact Tool. This teaching tool integrates a multi-level approach to ethical, legal, and social aspects, allowing engineering students to move beyond artifact-level concerns like transparency and privacy to critically engage with AI’s institutional, sociopolitical, and ontological dimensions.

This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro- and meso-levels. While ethics guidelines and AI ethics often focus on the responsibility of designers and the competencies and skills of designers to take this responsibility, our results show that many structural challenges are beyond their reach. This result means that while ethics guidelines and AI ethics frameworks are helpful, there is a risk that they overlook more complicated, nuanced, and intersected structural challenges. In addition, it highlights the need to include diverse stakeholders, such as quadruple helix (QH) participants, in discussions around AI ethics rather than solely focusing on the obligations of AI developers and companies. Overall, this paper demonstrates that addressing structural challenges in AI is challenging and requires an approach that considers four requirements: (1) multi-level, (2) multi-faceted, (3) interdisciplinary, and (4) polycentric governance.

Artificial Intelligence (AI) is rapidly transforming our society, offering remarkable opportunities but also raising significant Ethical, Legal, and Social Aspects (ELSA) that should be addressed for responsible development. Some existing approaches to responsible AI successfully translate ELSA into concrete AI design practices but risk overlooking power dynamics and structural issues, while others excel at fostering dialogue yet struggle to turn insights into real design changes. This paper develops the ELSA Lab approach as a promising way to bridge this gap. Building on research in Responsible Research and Innovation (RRI), Social Labs, and Quadruple Helix (QH) collaboration, we show how this approach combines the strengths of practical, solutionist strategies with sufficient negotiation and reflexivity. We not only outline the key features of this ELSA Lab approach theoretically but also present a hands-on work process for putting it into practice. This approach aims to drive a systemic shift toward more responsible AI.

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated.

Love is often seen as the most intimate aspect of our lives, but it is increasingly engineered by a few programmers with Artificial Intelligence (AI). Nowadays, numerous dating platforms are deploying so-called smart algorithms to identify a greater number of potential matches for a user. These AI-enabled matchmaking systems, driven by a rich trove of data, can not only predict what a user might prefer but also deeply shape how people choose their partners. This paper draws on Jürgen Habermas’s “colonization of the lifeworld” thesis to critically explore the insidious influence of delegating romantic decision-making to an algorithm. The love lifeworld is colonized inasmuch as online dating algorithms encroach into our romantic relations to the extent that communicative action within romance is replaced by the technocratic rules of an algorithm.

First published in 1974. Despite the tendency of contemporary analytic philosophy to put logic and mathematics at a central position, the author argues it failed to appreciate or account for their rich content. Through discussions of such mathematical concepts as number, the continuum, set, proof and mechanical procedure, the author provides an introduction to the philosophy of mathematics and an internal criticism of the then current academic philosophy. The material presented is also an illustration of a new, more general method of approach called substantial factualism which the author asserts allows for the development of a more comprehensive philosophical position by not trivialising or distorting substantial facts of human knowledge.

Artificial intelligence (AI) ethics is undergoing a practical shift towards putting principles into design practices in developing responsible AI. While this practical turn is essential, this paper highlights its potential risk of overly focusing on addressing issues at the level of individual artifacts, which can neglect more profound structural challenges and the need for significant systemic change. Such oversight makes AI ethics lose its strength in addressing some hidden, long-term harms within broader contexts. In this paper, we propose that the reflection on structural issues should be an integral part of AI ethics. To achieve this, we develop a multi-level framework to analyze socio-ethical issues of AI at both the artifact and broader structural levels. This framework can serve as a potentially transformative approach to uncover some unspoken assumptions in current AI ethics discourses and expose some blind spots in AI guidelines, policies, and regulations. Our paper paves the way to develop a practical approach that can effectively integrate this multi-level framework into real-world AI design and policymaking, ultimately bringing about transformative change.

This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro- and meso-levels. While ethics guidelines and AI ethics often focus on the responsibility of designers and the competencies and skills of designers to take this responsibility, our results show that many structural challenges are beyond their reach. This result means that while ethics guidelines and AI ethics frameworks are helpful, there is a risk that they overlook more complicated, nuanced, and intersected structural challenges. In addition, it highlights the need to include diverse stakeholders, such as quadruple helix (QH) participants, in discussions around AI ethics rather than solely focusing on the obligations of AI developers and companies. Overall, this paper demonstrates that addressing structural challenges in AI is challenging and requires an approach that considers four requirements: (1) multi-level, (2) multi-faceted, (3) interdisciplinary, and (4) polycentric governance.

The development of artificial perception technologies has surpassed the limitations of human natural senses, expanding humanity's perspectives on the world and self-awareness. However, it has simultaneously introduced new ethical challenges. These emerging challenges necessitate a philosophical reexamination of concepts such as 'nature,' 'artificial,' and ' invasiveness ' to better address associated issues. The advancement of artificial perception technologies not only involves scientific and practical applications but also profoundly influences human values, social ethics, and the future trajectory of human civilization. Amidst the current transformation and transition in modes of cognition, reevaluating the relationship between technology and humanity becomes a crucial task.

© 2015, The Author.Purpose: A male infant developed generalized rash, intestinal inflammation and severe infections including persistent cytomegalovirus. Family history was negative, T cell receptor excision circles were normal, and engraftment of maternal cells was absent. No defects were found in multiple genes associated with severe combined immunodeficiency. A 9/10 HLA matched unrelated hematopoietic cell transplant led to mixed chimerism with clinical resolution. We sought an underlying cause for this patient’s immune deficiency and dysregulation. Methods: Clinical and laboratory features were reviewed. Whole exome sequencing and analysis of genomic DNA from the patient, parents and 2 unaffected siblings was performed, revealing 2 MALT1 variants. With a host-specific HLA-C antibody, we assessed MALT1 expression and function in the patient’s post-HCT autologous and donor lymphocytes. Wild type MALT1 cDNA was added to transformed autologous patient B cells to assess functional correction. Results: The patient had compound heterozygous DNA variants affecting exon 10 of MALT1, a maternally inherited splice acceptor c.1019-2A > G, and a de novo deletion of c.1059C leading to a frameshift and premature termination. Autologous lymphocytes failed to express MALT1 and lacked NF-κB signaling dependent upon the CARMA1, BCL-10 and MALT1 signalosome. Transduction with wild type MALT1 cDNA corrected the observed defects. Conclusions: Our nonconsanguineous patient with early onset profound combined immunodeficiency and immune dysregulation due to compound heterozygous MALT1 mutations extends the clinical and immunologic phenotype reported in 2 prior families. Clinical cure was achieved with mixed chimerism after nonmyeloablative conditioning and HCT.

© 2015 The Authors. Through the use of bulk measurements in metabolic organs, the circadian clock was shown to play roles in organismal energy homeostasis. However, the relationship between metabolic and circadian oscillations has not been studied invivo at a single-cell level. Also, it is unknown whether the circadian clock controls metabolism in stem cells. We used a sensitive, noninvasive method to detect metabolic oscillations and circadian phase within epidermal stem cells in live mice at the single-cell level. We observe a higher NADH/NAD+ ratio, reflecting an increased glycolysis/oxidative phosphorylation ratio during the night compared to the day. Furthermore, we demonstrate that single-cell metabolic heterogeneity within the basal cell layer correlates with the circadian clock and that diurnal fluctuations in NADH/NAD+ ratio are Bmal1 dependent. Our data show that, in proliferating stem cells, the circadian clock coordinates activities of oxidative phosphorylation and glycolysis with DNA synthesis, perhaps as a protective mechanism against genotoxicity.

Resumo: Sendo um dos tesouros da cultura chinesa, a música tradicional chinesa tem carregado ricos pensamentos morais desde os tempos antigos. sendo uma parte importante do sistema de valores da cultura tradicional chinesa. No entanto, com o desenvolvimento da sociedade e a diversificação da cultura, o rápido ritmo social e a popularidade da música popular trouxeram grande impacto à música tradicional, que foi gradualmente esquecida devido ao seu abandono. Ao explorar a aplicação e o valor da música tradicional chinesa na educação moral e no cultivo da virtude neste artigo, combinamos a cultura musical tradicional com os hábitos de vida dos residentes modernos, tais como educação, eventos sociais de grande escala, competições e festivais de música. Através da educação escolar e de atividades comunitárias regulares, buscamos fornecer novas ideias e experiências práticas para a herança e inovação da cultura tradicional. Através da integração dos meios de comunicação modernos e das formas de arte, o conceito moral da música tradicional está ligado à sociedade moderna, formando uma nova ecologia cultural mais moderna e inclusiva. Ao fazer uso dos ricos recursos de pensamento moral da música tradicional chinesa, mostramos que o seu papel e valor insubstituíveis na educação moral e no cultivo da virtude.

Love is often seen as the most intimate aspect of our lives, but it is increasingly engineered by a few programmers with Artificial Intelligence (AI). Nowadays, numerous dating platforms are deploying so-called smart algorithms to identify a greater number of potential matches for a user. These AI-enabled matchmaking systems, driven by a rich trove of data, can not only predict what a user might prefer but also deeply shape how people choose their partners. This paper draws on Jürgen Habermas’s “colonization of the lifeworld” thesis to critically explore the insidious influence of delegating romantic decision-making to an algorithm. The love lifeworld is colonized inasmuch as online dating algorithms encroach into our romantic relations to the extent that communicative action within romance is replaced by the technocratic rules of an algorithm.

In mathematics, when we want to introduce classes which fulfill certain conditions, we usually prove beforehand that classes fulfilling such conditions do exist, and that such classes are uniquely determined by the conditions. The statements which state such unicity and existence of classes are in mathematical logic consequences of the principles of extensionality and class existence. In order to illustrate how these principles enable us to introduce classes into systems of mathematical logic, let us consider the manner in which Gödel introduces classes in his book on set theory.For instance, before introducing the definition of the non-ordered pair of two classesGödel puts down as its justification the following two axioms:By A4, for every two classesyandzthere exists at least one non-ordered pairwof them; and by A3,wis uniquely determined in A4.