Evaluating Text-to-SQL agents in private business intelligence (BI) settings is challenging due to the scarcity of realistic, domain-specific data. While synthetic evaluation data offers a scalable solution, existing generation methods fail to capture business realism--whether questions reflect realistic business logic and workflows. We propose a Business Logic-Driven Data Synthesis framework that generates data grounded in business personas, work scenarios, and workflows. In addition, we improve the data quality by imposing a business reasoning complexity control strategy that diversifies the analytical reasoning steps required to answer the questions. Experiments on a production-scale Salesforce database show that our synthesized data achieves high business realism (98.44%), substantially outperforming OmniSQL (+19.5%) and SQL-Factory (+54.7%), while maintaining strong question-SQL alignment (98.59%). Our synthetic data also reveals that state-of-the-art Text-to-SQL models still have significant performance gaps, achieving only 42.86% execution accuracy on the most complex business queries.
Generative artificial intelligence (AI) has become a focal point of discussion surrounding the future of higher education since late 2022. Concerns about the use of the technology, such as academic integrity issues and students' overreliance, which limit their learning and development, are in tension with the need to prepare students for an AI-enabled workforce, particularly for business students. This case study presents an example of how AI was intentionally integrated into an undergraduate leadership ethics course to better prepare students to confront ethical challenges they will face in their careers by engaging in a whole person learning approach and preparing them to become lifelong learners. Students engaged in various experiential learning activities and assessments that pushed them to think critically about how to use AI responsibly now and in their future careers. Students in the course perceived that unrestricted use of AI is not ethical and that students and educators all have a responsibility when it comes to how it is used in their education and future careers.
This article analyzes the emerging ethical turn in mathematics education, arguing that it is a nuanced extension of the sociopolitical turn. While sociopolitical studies of mathematics have highlighted systemic issues and group concerns (e.g., equity, diversity, exclusion), the newer scholarship on ethics in mathematics presents a sharpened focus on the individual responsibility of learners, teachers, and mathematicians by explicitly engaging with philosophical ethics. We analyze key themes of the discourse, including the tension between "doing good" and "preventing harm," and present various philosophical foundations from which scholars have engaged with ethics: Levinas, non-Western perspectives, and pragmatism. We show that the ethical turn holds significant implications for training teachers, including self-reflection, responsibility towards the Other, historical and philosophical awareness, the role of mathematics in society, individual flexibility, cultural sensitivity, and courage to navigate the complex reality of today's mathematics classrooms. The article is designed to also serve as an introduction to ethics in mathematics education.
Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin
et al.
Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices; however, their adoption within small and medium-sized enterprises (SMEs) raises serious trust, ethical, and technical issues. In this perspective paper, we introduce a structured, multi-phased framework, "SME-TEAM" for the secure and responsible use of these technologies in SMEs. Based on a conceptual structure of four key pillars, i.e., Data, Algorithms, Human Oversight, and Model Architecture, SME-TEAM bridges theoretical ethical principles with operational practice, enhancing AI capabilities across a wide range of applications in SMEs. Ultimately, this paper provides a structured roadmap for the adoption of these emerging technologies, positioning trust and ethics as a driving force for resilience, competitiveness, and sustainable innovation within the area of business analytics and SMEs.
Contemporary discussions in AI ethics often treat culture as a source of normative divergence that needs to be accommodated, tolerated, or managed due to its resistance to universal standards. This paper offers an alternative vision through the concept of "Cultural Co-Genesis of AI Ethics." Rather than viewing culture as a boundary or container of isolated moral systems, we argue that it is a generative space for ethical co-production. In this framework, ethical values emerge through intercultural engagement, dialogical encounters, mutual recognition, and shared moral inquiry. This approach resists both universalist imposition and relativistic fragmentation. Cultures are not approached as absolutes to be defended or dissolved, but as co-authors of a dynamic ethical landscape. By grounding AI ethics in Cultural Co-Genesis, we move from managing difference to constructing shared ethical meaning for AI ethics, with culture as a partner, not a problem. We support this framework with two cases: (1) a theoretical analysis of how various cultures interpret the emergence of powerful new species, challenging dominant existential risk narratives, and (2) an empirical study of global AI ethics principles using data from the Linking AI Principles project, which reveals deep ethical convergence despite cultural diversity. We conclude that cross-cultural AI ethics should be seen not as an ethical patchwork, but as a mosaic in progress, woven from the normative insights that emerge between cultures.
Data component, as a novel production element, is the primary catalyst for advancing new quality productivity. This paper finds that there are three mechanisms for data factors to empower new quality productivity. First, data factors give birth to new quality production materials such as artificial intelligence model; Second, data factors have broken through the objective limitations of traditional production factors and created a large number of new industries, new forms of business and new models. Third, under the interaction between data elements and employment practices, a new quality labor force adapted to the development of the digital economy era has been cultivated. In view of the triple contradictions between openness and security, efficiency and fairness, and property rights and income in the process of empowerment, this study puts forward the triple ideas of establishing a standardized and transparent data governance system, constructing a “technology-ethics” dynamic adjustment mechanism, and innovating value distribution mode, so as to further promote the release of data element value and promote the development of new quality productivity. At the same time, it provides a reference for relevant scholars to understand the relationship between data elements and new quality productivity.
Luis Demetrio Gómez García, Gloria María Zambrano Aranda, Emerson Jesus Toledo Concha
For a serious game to be effective, it must undergo rigorous validation process. A Design Science approach advocates the use of quantitative or qualitative research methodologies within the creation and validation of artifacts, an approach suitable for evaluating serious games as educational tools.This study presents a methodological framework that integrates quantitative measurement and qualitative inquiry to assess the effectiveness of a serious game designed for ethics education. We provide access to the quantitative questionnaire, its codebook, and the dataset generated during the validation of the authors’ approach using a serious game for teaching business ethics.The integration of both methods allowed us to validate the game as a relevant and effective strategy for promoting ethical reflection among university students. These findings support the consistency and reliability of the method used for validating serious games.Methodological Highlights • The quantitative assessment is based on the Technology Acceptance Model III (TAM III) and the Theory of Planned Behavior (TPB). • Qualitative inquiry analyzes students’ group work to understand their perceptions of ethical phenomena after gameplay. • Professors can use insights from students' perceptions as a starting point or framework for takeaways in future game applications.
Narotam Singh, Vaibhav Chaudhary, Nimisha Singh
et al.
This paper explores the transformative impact of Generative AI (GenAI) on the business landscape, examining its role in reshaping traditional business models, intensifying market competition, and fostering innovation. By applying the principles of Neo-Schumpeterian economics, the research analyses how GenAI is driving a new wave of "creative destruction," leading to the emergence of novel business paradigms and value propositions. The findings reveal that GenAI enhances operational efficiency, facilitates product and service innovation, and creates new revenue streams, positioning it as a powerful catalyst for substantial shifts in business structures and strategies. However, the deployment of GenAI also presents significant challenges, including ethical concerns, regulatory demands, and the risk of job displacement. By addressing the multifarious nature of GenAI, this paper provides valuable insights for business leaders, policymakers, and researchers, guiding them towards a balanced and responsible integration of this transformative technology. Ultimately, GenAI is not merely a technological advancement but a driver of profound change, heralding a future where creativity, efficiency, and growth are redefined.
The common consensus is that robots designed to work alongside or serve humans must adhere to the ethical standards of their operational environment. To achieve this, several methods based on established ethical theories have been suggested. Nonetheless, numerous empirical studies show that the ethical requirements of the real world are very diverse and can change rapidly from region to region. This eliminates the idea of a universal robot that can fit into any ethical context. However, creating customised robots for each deployment, using existing techniques is challenging. This paper presents a way to overcome this challenge by introducing a virtue ethics inspired computational method that enables character-based tuning of robots to accommodate the specific ethical needs of an environment. Using a simulated elder-care environment, we illustrate how tuning can be used to change the behaviour of a robot that interacts with an elderly resident in an ambient-assisted environment. Further, we assess the robot's responses by consulting ethicists to identify potential shortcomings.
This study investigates the critical role of entrepreneurship in driving the growth and success of digital startups, highlighting its significance in fostering innovation, technological advancement, and economic transformation. Using a qualitative approach, semi-structured interviews were conducted with ten digital startup founders to explore the opportunities, challenges, and strategies shaping their ventures. The findings reveal that entrepreneurship enables startups to leverage technological advancements, access global markets, and optimize operational costs through digital tools, scalable platforms, and partnerships with accelerators and venture capitalists. Despite these opportunities, digital startups face significant challenges, including limited funding access, intense competition, and regulatory compliance issues. The research identifies effective strategies such as adopting agile methodologies, building robust networks, fostering innovation, and emphasizing leadership, team-building, and customer-centric approaches as critical to sustaining growth and achieving long-term success. By addressing gaps in existing literature that often focus on technological and operational factors, this study underscores the strategic importance of entrepreneurship in navigating the complexities of the digital business landscape. The implications extend beyond academic discourse, providing actionable insights for entrepreneurs to refine their approaches, policymakers to create enabling regulatory environments, and ecosystem stakeholders to support innovation. These findings contribute to a deeper understanding of entrepreneurship’s transformative potential and its role in empowering digital startups to thrive in a dynamic and competitive global economy.
Business ethics, Social responsibility of business
Purpose: Development of conceptual foundations of ethics by design and rethinking of subject-object relations in the context of digital ethics for the formation of more effective approaches to the design and management of ethically responsible technologies.
Design / Method / Approach: The research is based on an interdisciplinary approach combining methods of philosophical analysis, ethics, sociology of technology and research in the field of human-computer interaction. The methods of conceptual modeling, ethical analysis of technologies and scenario forecasting are used.
Findings: Considered approaches to the formation of a conceptual model of distributed ethical responsibility in complex sociotechnical systems. Proposed methodological approaches to the integration of ethical considerations at various stages of the life cycle of digital products. The potential of the ethics of care to solve the problems of vulnerability and dependence in the digital environment is investigated.
Theoretical implications: The work contributes to the development of the theory of technology ethics, offering a new perspective on the interaction between ethical principles and the processes of designing digital systems. The research expands the understanding of subject-object relations in the context of modern technologies.
Practical implications: The proposed approaches can be used to create methodologies for the ethical design of digital products, the formation of policies for the responsible use of technologies in organizations, and the development of educational programs on the ethics of technologies for engineers and designers.
Originality / Value: The novelty of the research lies in the development of an integrative approach to ethics by design that takes into account changes in subject-object relations in the digital age. The proposed approach is aimed at expanding the capabilities of existing models of ethical design and explores new perspectives for creating ethically responsible digital technologies.
Research limitations / Future research: Prospects include empirical testing of proposed models, development of specific tools for ethical audit of digital systems, and research into cultural aspects of the perception of ethics by design . The limitations are related to the rapid development of technologies, which may require constant adaptation of the proposed approaches.
Paper type: Theoretical.
T. J. Oderkerk, R. G. Singotani, L. Zuidema
et al.
Abstract Background Several treatment modalities for heavy menstrual bleeding are available. However, many women report being unsatisfied in their search for an appropriate and effective treatment. The aim of this study is to gain insights in the experienced impact of heavy menstrual bleeding and the motives and considerations of women during the decision-making process for treating heavy menstrual bleeding. Methods An interpretative qualitative study was performed, using in-depth interviews. In total, 14 semi-structured interviews were conducted with patients who consulted a physician for treatment of heavy menstrual bleeding. Participants were recruited via the Netherlands Patients Federation (N = 10) or via the outpatient clinic in the Máxima Medical Center (N = 4). The interviews were conducted by phone or online between February 2020 and March 2021. In the interviews three topics were addressed: (1) participant’s experience with heavy menstrual bleeding, (2) experience with patient journey of treatment decision-making and (3) elaborating on alternative treatments for heavy menstrual bleeding. A thematic analysis was conducted. Results Fourteen participants aged between 30 and 59 years old were interviewed. Three main themes emerged; “Considerations in taking the (next) step to seek help”, “Various sources of information can contribute, confuse or frighten decision-making process” and “A physician’s understanding and a relationship of trust are needed to guide the decision-making process”. Conclusion Our results show that women’s considerations and decision making strongly depend on the obtained information and experience, the relationship with the physician, the influence of the social environment, the pre-visit expectations/desires, the fear of treatment complications and uncertainty of the effect of the treatment. It is a physicians role to create a trusting and open atmosphere during consultation. Patient-centered communication is helpful to share knowledge, and gain insights into a patient’s hopes, fears and worries.
Gynecology and obstetrics, Public aspects of medicine
Sergey Rodionov, Zarathustra Amadeus Goertzel, Ben Goertzel
This report summarizes a short study of the performance of GPT-4 on the ETHICS dataset. The ETHICS dataset consists of five sub-datasets covering different fields of ethics: Justice, Deontology, Virtue Ethics, Utilitarianism, and Commonsense Ethics. The moral judgments were curated so as to have a high degree of agreement with the aim of representing shared human values rather than moral dilemmas. GPT-4's performance is much better than that of previous models and suggests that learning to work with common human values is not the hard problem for AI ethics.
Aastha Pant, Simone V. Spiegler, Rashina Hoda
et al.
The importance of teaching software ethics to software engineering (SE) students is more critical now than ever before as software related ethical issues continue to impact society at an alarming rate. Traditional classroom methods, vignettes, role-play games, and quizzes have been employed over the years to teach SE students about software ethics. Recognising the significance of incorporating software ethics knowledge in SE education and the continued need for more efforts in the area of the teaching and learning of SE ethics, we developed an interactive, scenario-based Software Ethics Quiz. Our goal was to teach SE students about ethics in a comprehensive, open, and engaging manner through a combined approach of an online lecture followed by an interactive workshop with the quiz and a debriefing session. The anonymous quiz responses collected showed promising results regarding the engagement and efficacy of the lecture and quiz, with a slightly better rating for the interactive quiz. The voluntary student feedback collected suggested that a majority of the participants found the debrief discussion on the quiz scenarios to be very beneficial for learning about software ethics. In this experience report, we share our experiences, related educational resources including the quiz, and recommendations from lessons learned with the wider education community to keep driving this critical topic forward
Based on 14 months of ethnographic research, this article examines how African Muslim migrants build and maintain faith-based business ethics and how they apply these ethical business norms to help navigate their transnational lives in Guangzhou, China. Most of the African Muslim migrants included in the study are small-scale business owners who engage in semi-formal economic activities in both local and home markets. They face racial, cultural, and legal challenges on a daily basis. Unable to access formal means of support due to their precarious economic and legal status, many African Muslim small-business owners rely on informal business ethics to ensure a safe trading environment and mitigate risk. Their business ethics, I argue, are rooted in what I term “religious common ground” – the moral and ethical values shared among migrants from different Muslim groups. This article also explores the enforcing mechanisms of African Muslim small-scale business owners’ business ethics, such as mosques and coreligion business networks. This article concludes that there is no universal, standard code of conduct among African Muslim business owners in Guangzhou. Individuals among different Muslim communities have diverse interpretations of business ethics and practice them differently based on their nationality, ethnicity, religious habits, and socio-cultural backgrounds. This article contributes to a small but important literature that addresses the central role that religion plays in Muslim migrants’ business practices in a non-Muslim society.
Colonies and colonization. Emigration and immigration. International migration
"Governance" is a new model and method in the field of politics and management, which has attracted the attention of many thinkers in the last few years. This model has many types, one of which is ethical governance. This governance, which insists on "management and administration" based on values, is a group action planned by the rulers and managers in order to implement a decent ethical system to integrate all business under a set and organization. Farabi is the first Iranian Muslim philosopher who, in addition to founding Islamic philosophy; has been the designer of many political and ethical discourse. In his political philosophy and civil science, he saw ethics and politics together, and the way to achieve the utopia of good fortune is only by converting to moral principles, which according to him, is possible through the cooperation and convergence of people and officials, and in the context of society. The subject of this article is the moral governance from the perspective of this peripatetic philosopher. The authors first defines governance and then ethical governance, then by adopting the method of content analysis and exploring Farabi's thoughts, they identify and introduce the foundations and signs of this governance/management model. Its purpose is to clarify the content of a percentage of Islamic philosophy in order to provide the content of one of the most important types of governance, for managers and officials of governmental and sub-governmental institutions, as well as citizens.
History of scholarship and learning. The humanities, Social sciences (General)
Introduction Poor patient assessment results in undetected clinical deterioration. Yet, there is no standardised assessment framework for >29 000 Australian emergency nurses. To reduce clinical variation and increase safety and quality of initial emergency nursing care, the evidence-based emergency nursing framework HIRAID (History, Identify Red flags, Assessment, Interventions, Diagnostics, communication and reassessment) was developed and piloted. This paper presents the rationale and protocol for a multicentre clinical trial of HIRAID.Methods and analysis Using an effectiveness-implementation hybrid design, the study incorporates a stepped-wedge cluster randomised controlled trial of HIRAID at 31 emergency departments (EDs) in New South Wales, Victoria and Queensland. The primary outcomes are incidence of inpatient deterioration related to ED care, time to analgesia, patient satisfaction and medical satisfaction with nursing clinical handover (effectiveness). Strategies that optimise HIRAID uptake (implementation) and implementation fidelity will be determined to assess if HIRAID was implemented as intended at all sites.Ethics and dissemination Ethics has been approved for NSW sites through Greater Western Human Research Ethics Committee (2020/ETH02164), and for Victoria and Queensland sites through Royal Brisbane & Woman’s Hospital Human Research Ethics Committee (2021/QRBW/80026). The final phase of the study will integrate the findings in a toolkit for national rollout. A dissemination, communications (variety of platforms) and upscaling strategy will be designed and actioned with the organisations that influence state and national level health policy and emergency nurse education, including the Australian Commission for Quality and Safety in Health Care. Scaling up of findings could be achieved by embedding HIRAID into national transition to nursing programmes, ‘business as usual’ ED training schedules and university curricula.Trial registration number ACTRN12621001456842.