Scientific Responsibility Research Articles

Group Privacy: An Underrated but Worth Studying Research Problem in the Era of Artificial Intelligence and Big Data

Introduction: Recently, the tendency of artificial intelligence (AI) and big data use/applications has been rapidly expanding across the globe, improving people’s lifestyles with data-driven services (i.e., recommendations, smart healthcare, etc.). The synergy between AI and big data has become imperative considering the drastic growth in personal data stemming from diverse sources (cloud computing, IoT, social networks, etc.). However, when data meet AI at some central place, it invites unimaginable privacy issues, and one of those issues is group privacy. Despite being the most significant problem, group privacy has not yet received the attention of the research community it is due. Problem Statement: We study how to preserve the privacy of particular groups (a community of people with some common attributes/properties) rather than an individual in personal data handling (i.e., sharing, aggregating, and/or performing analytics, etc.), especially when we talk about groups purposely made by two or more people (with clear group identifying markers), for whom we need to protect their privacy as a group. Aims/Objectives: With this technical letter, our aim is to introduce a new dimension of privacy (e.g., group privacy) from technical perspectives to the research community. The main objective is to advocate the possibility of group privacy breaches when big data meet AI in real-world scenarios. Methodology: We set a hypothesis that group privacy (extracting group-level information) is a genuine problem, and can likely occur when AI-based techniques meet high dimensional and large-scale datasets. To prove our hypothesis, we conducted a substantial number of experiments on two real-world benchmark datasets using AI techniques. Based on the experimental analysis, we found that the likelihood of privacy breaches occurring at the group level by using AI techniques is very high when data are sufficiently large. Apart from that, we tested the parameter effect of AI techniques and found that some parameters’ combinations can help to extract more and fine-grained data about groups. Findings: Based on experimental analysis, we found that vulnerability of group privacy can likely increase with the data size and capacity of the AI method. We found that some attributes of people can act as catalysts in compromising group privacy. We suggest that group privacy should also be given due attention as individual privacy is, and robust tools are imperative to restrict implications (i.e., biased decision making, denial of accommodation, hate speech, etc.) of group privacy. Significance of results: The obtained results are the first step towards responsible data science, and can pave the way to understanding the phenomenon of group privacy. Furthermore, the results contribute towards the protection of motives/goals/practices of minor communities in any society. Concluding statement: Due to the significant rise in digitation, privacy issues are mutating themselves. Hence, it is vital to quickly pinpoint emerging privacy threats and suggest practical remedies for them in order to mitigate their consequences on human beings.

Understanding Scientific Freedom and Scientific Responsibility in Business and Management Research

AbstractTo illuminate the nature of contemporary business and management research and to reinforce the principles of responsible research proposed by the social movement Responsible Research in Business and Management (RRBM), this article explores two critical elements of the scientific process: scientific freedom and scientific responsibility. We observe that in recent times, context and practice have weakened both of them. Path‐dependent processes in a closed research ecosystem have restricted scientific freedom. A ‘publish or perish’ culture has clouded scientific responsibility. We examine the definition of scientific freedom and assess how much freedom scientists can expect in current social conditions. We apply Schulz’s (1972) responsibility categories of (a) Who is responsible? (b) For what are they responsible? and (c) To whom are they responsible? to develop an expanded definition of scientific responsibility. Aligning high and low levels of freedom and responsibility, we identify four types of research, one of which fits RRBM’s definition of responsible research. We suggest a set of light and heavy actions in a humble attempt to shift the research ecosystem further towards responsible research, focusing on benefits to society. We conclude with a set of scientific norms to guide researchers who aspire to make their research more responsible and impactful.

Science, responsibility, and the philosophical imagination

If we cannot define science using only analysis or description, then we must rely on imagination to provide us with suitable objects of philosophical inquiry. This process ties our intellectual findings to the particular ways in which we philosophers think about scientific practice and carve out a cognitive space between real world practice and conceptual abstraction. As an example, I consider Heather Douglas’s work on the responsibilities of scientists and document her implicit ideal of science, defined primarily as an epistemic practice. I then contrast her idealization of science with an alternative: “technoscience,” a heuristic concept used to describe nanotechnology, synthetic biology, and similar “Mode 2” forms of research. This comparison reveals that one’s preferred imaginary of science, even when inspired by real practices, has significant implications for the distribution of responsibility. Douglas’s account attributes moral obligations to scientists, while the imaginaries associated with “technoscience” and “Mode 2 science” spread responsibility across the network of practice. This dynamic between mind and social order, I argue, demands an ethics of imagination in which philosophers of science hold themselves accountable for their imaginaries. Extending analogous challenges from feminist philosophy and Mills’s. “Ideal Theory’ as Ideology,” I conclude that we ought to reflect on the idiosyncrasy of the philosophical imagination and consider how our idealizations of science, if widely held, would affect our communities and broader society.

DNA barcoding of the National Museum of Natural History reptile tissue holdings raises concerns about the use of natural history collections and the responsibilities of scientists in the molecular age.

Natural history collections are essential to a wide variety of studies in biology because they maintain large collections of specimens and associated data, including genetic material (e.g., tissues) for DNA sequence data, yet they are currently under-funded and collection staff have high workloads. With the advent of aggregate databases and advances in sequencing technologies, there is an increased demand on collection staff for access to tissue samples and associated data. Scientists are rapidly developing large DNA barcode libraries, DNA sequences of specific genes for species across the tree of life, in order to document and conserve biodiversity. In doing so, mistakes are made. For instance, inconsistent taxonomic information is commonly taken from different lending institutions and deposited in data repositories, such as the Barcode of Life Database (BOLD) and GenBank, despite explicit disclaimers regarding the need for taxonomic verification by the lending institutions. Such errors can have profound effects on subsequent research based on these mis-labelled sequences in data repositories. Here, we present the production of a large DNA barcode library of reptiles from the National Museum of Natural History tissue holdings. The library contains 2,758 sequences (2,205 COI and 553 16S) from 2260 specimens (four crocodilians, 37 turtles, and 2,219 lizards, including snakes), representing 583 named species, from 52 countries. In generating this library, we noticed several common mistakes made by scientists depositing DNA barcode data in public repositories (e.g., BOLD and GenBank). Our goal is to raise awareness of these concerns and offer advice to avoid such mistakes in the future to maintain accurate DNA barcode libraries to properly document Earth’s biodiversity.

Projects of Dream Mashreq Food Company to support social and scientific responsibility and entrepreneurship

Projects of Dream Mashreq Food Company to support social and scientific responsibility and entrepreneurship

Frameworks Supporting Socially Responsible Science Education: Opportunities, Challenges, and Implementation

Frameworks Supporting Socially Responsible Science Education: Opportunities, Challenges, and Implementation

Futurising science education: students’ experiences from a course on futures thinking and quantum computing

To promote students’ value-based agency, responsible science and sustainability, science education must address how students think about their personal and collective futures. However, research has shown that young people find it difficult to fully relate to the future and its possibilities, and few studies have focused on the potential of science education to foster futures thinking and agency. We report on a project that further explored this potential by developing future-oriented science courses drawing on the field of futures studies. Phenomenographic analysis was used on interview data to see what changes upper-secondary school students saw in their futures perceptions and agentic orientations after attending a course which adapted futures thinking skills in the context of quantum computing and technological approaches to global problems. The results show students perceiving the future and technological development as more positive but also more unpredictable, seeing their possibilities for agency as clearer and more promising (especially by identifying with their peers or aspired career paths), and feeling a deeper connection to the otherwise vague idea of futures. Students also felt they had learned to question deterministic thinking and to think more creatively about their own lives as well as technological and non-technological solutions to global problems. Both quantum physics and futures thinking opened new perspectives on uncertainty and probabilistic thinking. Our results provide further validation for a future-oriented approach to science education, and highlight essential synergies between futures thinking skills, agency, and authentic socio-scientific issues in developing science education for the current age.

THE REASON AND PRAGMATIC KNOWLEDGE: RETRIEVING THE INTEGRATIVE MEANING

The article discusses the social responsibility of scientists in the context of practical work. Knowledge has a major role, both in the development of an individual and of society as a whole. Today’s society is a society of knowledge. Knowledge cannot evolve separately from information. The amount and quality of information depends to a large extent on its processing by artificial intelligence. The involvement of knowledge in the field of artificial intelligence is not possible without critical thinking. A knowledge society is not perceived without the involvement of researchers. They are the ones who promote and develop scientific knowledge. This type of knowledge is found in all areas of society.

Towards responsible science and technology: How nanotechnology research and development is shaping risk governance practices in Australia

Incorporating perspectives of multiple stakeholders concerning the appropriate balance of risks and benefits of new and potentially disruptive technologies is thought to be a way of enhancing the societal relevance and positive impacts of those technologies. A risk governance approach can be instrumental in achieving balance among diverse stakeholders, as it enables decision-making processes informed by multiple dimensions of risk. This paper applies a risk governance approach to retrospectively examine the development of nanotechnology research and development (R&D) in Australia to identify how risk governance is reflected in the practices of a range of stakeholders. We identify ten risk-related challenges specific to nanotechnology R&D based on a review of the international literature, which provided the foundation for documenting how those working in the Australian nanotechnology sector responded to these global risk-related challenges. This case study research draws on a range of sources including literature review, semi-structured interviews, and a combination of qualitative and quantitative approaches for data analysis to identify key themes and generate visualisations of the interconnections that exist between risk governance practices. The ability to visualise these interconnections from the qualitative data is a key contribution of this research. Our findings show how the qualitative insights and professional experiences of nanotechnologists provide evidence of how risk governance approaches have been operationalised in the Australian nanotechnology R&D sector. The findings generate three important insights. First, the risk research undertaken by Australian nanotechnologists is interdisciplinary and involves multiple stakeholders from various disciplines and sectors. Unlike traditional risk governance approaches, our findings document efforts to assess, not only physical risks, but also social and ethical risks. Second, nanotechnology risk governance is a non-linear process and practices undertaken to address specific challenges occurred concurrently with and contributed to addressing other challenges. Third, our findings indicate that applying a risk governance approach enables greater intersection and collaboration, potentially bridging any disconnect between scientists, policymakers, and the public to realise transdisciplinary outcomes. This research highlights opportunities for developing systematic methodologies to enable more robust risk governance of other new and emerging technologies.

Gene drive communication: exploring experts’ lived experience of metaphor use

Metaphors have been crucial in making genetics and genomics public, from the code and the book of life to genetic scissors and gene surgery. A new field is emerging called “gene drive” – a range of controversial technologies that can potentially be used for the eradication or conservation of animal species. At the same time, metaphors are emerging to talk about the promises and dangers of “gene drive”. In this article we use thematic analysis to examine thirty interviews with gene drive science and communication experts, and stakeholders, focusing on how they talk about their lived experience of metaphor use in the context of gene drive communication, including their struggle to remember salient metaphors and their reflections on which metaphors to use and which to avoid. We discuss the significance of our findings for research and practice of responsible science communication.

PLANEJAMENTO DE UMA SEQUÊNCIA DIDÁTICA NA PERSPECTIVA DA FORMAÇÃO INTEGRADA E DA CONSTRUÇÃO DO CONHECIMENTO POR CONSTELAÇÃO DE THEODOR ADORNO

ABSTRACT: The teaching of philosophy requires a performance, by teachers and students, that allows going beyond the simple phenomenal description of reality or knowledge. Admitting to aim at developing criticism as the foundation of human thought, it is essential to move beyond a simplistic reflection on the questions that surround our reality, in a way that makes it possible for philosophy, based on a careful reflection practice, to contribute to the unveiling of the entirety of the real. In this sense, this study intends to present the structure and application of a Didactic Sequence entitled “Thinking science constellation: a didactic sequence”, in order to introduce a teaching strategy that provides teachers with a way of teaching philosophy beyond the descriptive perspective of knowledge. We chose to organize the Didactic Sequence based on the concepts of comprehensive Education in the Vocational and Technological fields (EPT), interacting with the construction of knowledge by constellation (ADORNO, 2009). The Didactic Sequence intended to develop reflection and the construction of new knowledge by constellation to provide, during its application, moments and spaces of reflective and critical attitude, the development of knowledge and intellectual autonomy, and the understanding of social reality. The purpose of the study has been met, since the development of activities allowed to highlight and develop important terms such as science, common sense, scientific method, the scientific community, social responsibility, and cognitive, ethical, and political values.

The Quest Concerning Scientific Values, Principles, and Responsibilities

The Quest Concerning Scientific Values, Principles, and Responsibilities

Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook

With the continuous increase in avenues of personal data generation, privacy protection has become a hot research topic resulting in various proposed mechanisms to address this social issue. The main technical solutions for guaranteeing a user’s privacy are encryption, pseudonymization, anonymization, differential privacy (DP), and obfuscation. Despite the success of other solutions, anonymization has been widely used in commercial settings for privacy preservation because of its algorithmic simplicity and low computing overhead. It facilitates unconstrained analysis of published data that DP and the other latest techniques cannot offer, and it is a mainstream solution for responsible data science. In this paper, we present a comprehensive analysis of clustering-based anonymization mechanisms (CAMs) that have been recently proposed to preserve both privacy and utility in data publishing. We systematically categorize the existing CAMs based on heterogeneous types of data (tables, graphs, matrixes, etc.), and we present an up-to-date, extensive review of existing CAMs and the metrics used for their evaluation. We discuss the superiority and effectiveness of CAMs over traditional anonymization mechanisms. We highlight the significance of CAMs in different computing paradigms, such as social networks, the internet of things, cloud computing, AI, and location-based systems with regard to privacy preservation. Furthermore, we present various proposed representative CAMs that compromise individual privacy, rather than safeguarding it. Finally, we discuss the technical challenges of applying CAMs, and we suggest promising opportunities for future research. To the best of our knowledge, this is the first work to systematically cover current CAMs involving different data types and computing paradigms.

A Goal-Oriented Conceptual Modeling Approach for Responsible Data Science

A Goal-Oriented Conceptual Modeling Approach for Responsible Data Science

Pitching a … Centre for Responsible Science (C4RS)

Pitching a … Centre for Responsible Science (C4RS)

Cross-country use of participatory research methods in practice to enhance inclusive decision-making

PurposeRethinking participation in disaster research and practice could be facilitated when practitioners are provided with opportunities to pause and reflect deeply on their work outside of the context of their own individual projects and organizational networks. The article draws from an extended collaboration between researchers from multiple countries and disciplines in a working group, which aimed at exploring ethics, participation and power in disaster management.Design/methodology/approachUnder responsible engineering science and technology for disaster risk management, the authors undertook weekly meetings over four months to discuss various facets of adopting participatory methods in their individual projects in Nepal, India, the Philippines and the USA. The article develops a critical reflection of practice using an auto-ethnographical and poly-vocal approach.FindingsThe voluntary, digital, sustained, unstructured, recurring and inter-disciplinary characteristics of the authors' working group created an opportunity for researchers and practitioners from different fields and different national, cultural and linguistic backgrounds to come together and collectively issues related to participation, ethics and power.Research limitations/implicationsIn the paper, the authors do not offer a systematic evaluation of what was a fairly unique process. The paper offers no evaluation of the working group or others like it that focus on questions of replicability, scale and sustainability.Originality/value To the best of the authors' knowledge, the current work is a unique paper that focuses on situating multi-disciplinary practice within disaster risk management (DRM) and enhancing networks, capacities and expertise for professional education for engineers, physical and social scientists who are involved in research and practice. The polyvocal character of the presentation will help readers access the particular experiences of the participants, which reflect the deeply personal character of the subject matter.

The 'ethic of knowledge' and responsible science: Responses to genetically motivated racism.

This study takes off from the ethical problem that racism grounded in population genetics raises. It is an analysis of four standard scientific responses to the problem of genetically motivated racism, seen in connection with the Human Genome Diversity Project (HGDP): (1) Discriminatory uses of scientific facts and arguments are in principle ‘misuses’ of scientific data that the researcher cannot be further responsible for. (2) In a strict scientific sense, genomic facts ‘disclaim racism’, which means that an epistemically correct grasp of genomics should be ethically justified. (3) Ethical difficulties are issues to be ‘resolved’ by an ethics institution or committee, which will guarantee the ethical quality of the research scrutinized. (4) Although population genetics occasionally may lead to racism, its overall ‘value’ for humankind justifies its cause as a desirable pursuit. I argue that these typical responses to genetically motivated racism supervene on a principle called the ‘ethic of knowledge’, which implies that an epistemically correct account has intrinsic ethical value. This principle, and its logically related ideas concerning the ethic of science, effectively avoids a deeper ethical question of responsibility in science from being raised.

Citizen Science Addressing Challenges of Sustainability

Practices for the engagement of citizens and other research and innovation (R and I) stakeholders in science can be found aplenty in the existing literature, all along with principles, guidelines and tools providing meaningful guidance for practitioners in research funding and performing, organizations (RPFOs) and helping them achieve high quality and responsible citizen science projects addressing sustainability challenges. Such guidance, however, is scarce when it comes to setting up and running transdisciplinary citizen science eco systems, where projects can be systematically initiated by different stakeholders and carried out in a dedicated supportive environment. Based on literature review and series of semi-structured interviews with quadruple helix stakeholders in Lithuania, this paper provides a current overview of the perceptions, concerns, motivational factors, and obstacles with regard to participation in citizen science activities.

Self-criticisms toward a socially responsible science in the field of management

Management scholarship should be placed in a unique position to develop relevant scientific knowledge because business and management organizations are deeply involved in most global challenges. However, different critical voices have recently been raised in essays and editorials, and reports have questioned research in the management field, identifying multiple deficiencies that can limit the growth of a relatively young field. Based on an analysis of published criticisms of management research, we would like to shed light on the current state of management research and identify some limitations that should be considered and should guide the growth of this field of knowledge. This work offers guidance on the main problems of the discipline that should be addressed to encourage the transformation of management research to meet both scientific rigor and social relevance. The article ends with a discussion and a call to action for directing research toward the possibility and necessity of reinforcing “responsible research” in the management field. JEL CLASSIFICATION: M00, M10

MENGEKSPLORASI TANGGUNG JAWAB DAN KREATIVITAS ILMIAH PESERTA DIDIK MELALUI CREATIVE RESPONSIBILITY BASED LEARNING

Scientific responsibility and creativity are part of the main competencies in the era of the industrial revolution 4.0, but they are not trained in schools. Therefore, the purpose of this study is to analyze the effectiveness of Creative Responsibility Based Learning in exploring the responsibility and scientific creativity of students. This research is part of research and development with the ADDIE model, namely at the implementation and evaluation stages. The research trial used one group pre-test and post-test on 27 students of class XI MIPA 2 MAN 2 Banjarmasin. Data collection instruments consist of responsibility observation sheets with indicators of participating, respecting others, cooperation, leading, and expressing opinions; as well as a scientific creativity test which includes indicators of finding problems, imagining scientifically, solving problems creatively, and designing products creatively. The results showed that the responsibility of the students at each meeting was in good criteria. In addition, the scientific creativity N-gain was 0.34 in the medium criteria. Thus, CRBL is effectively used to explore the responsibility and scientific creativity of students. Kata kunci: creative responsibility based learning, scientific creativity, responsibility AbstrakTanggung jawab dan kreativitas ilmiah merupakan bagian dari kompetensi utama di era revolusi industri 4.0, namun kurang dilatihkan di sekolah. O