scholarly journals Explorative Experiments and Digital Humanism: Adding an Epistemic Dimension to the Ethical Debate

2021 ◽  
pp. 77-82
Author(s):  
Viola Schiaffonati

AbstractThe rise of Digital Humanism calls for shaping digital technologies in accordance with human values and needs. I argue that to achieve this goal, an epistemic and methodological dimension should be added to the ethical reflections developed in the last years. In particular, I propose the framework of explorative experimentation in computer science and engineering to set an agenda for the reflection on the ethical issues of digital technologies that seriously considers their peculiarities from an epistemic point of view. As the traditional epistemic categories of the natural sciences cannot be directly adopted by computer science and engineering, the traditional moral principles guiding experimentation in the natural sciences should be reconsidered in the case of digital technologies where uncertainty about their impacts and risks is very high.

2021 ◽  
Vol 14 (2) ◽  
pp. 444-460
Author(s):  
Piotr Giza

The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a very specific field for it relates the abstract, theoretical discipline – mathematics, on the one hand, and engineering, often concerned with very practical tasks of building computers, on the other. It is like engineering in that it is concerned with solving practical problems or implementing solutions, often with strongly financial reasons, e.g. increasing a company’s income. It is like mathematics in that is deals with abstract symbols, logical relations, algorithms, computability problems, etc. Saunders and Thagard analyse rich experimental material from historical and contemporary work in computer science and argue that, as opposed to natural sciences, computer science is not concerned with describing and explaining natural phenomena. Now, I argue that there is a field of research in artificial intelligence (which, in turn, is a branch of computer science), called machine discovery, where explanation of natural phenomena, finding experimental laws and explanatory models is the primary goal. This goal is achieved by constructing computer systems whose job is to simulate various processes involved in scientific discovery done by human researchers, and help them in making new discoveries. On the other hand, motivations that give rise to ingenious projects in computer science can be very strange and include curiosity, fun or attempts to be famous out of boring, stable life of a successful programmer in a big corporation. A good example is the phenomenon of open-source software, especially the development of the Linux operating system and its applications when, from economical point of view, Microsoft absolutely dominated the software market of personal computers.


2021 ◽  
pp. 56-63
Author(s):  
Oleg Letov ◽  

This review examines such ethical categories as human dignity, freedom of expression, identity, etc. It is emphasized that when changing sex, this right is a powerful form of control over personal data, especially health data, which may indicate a gender that they are not. identify and not reject. In the context of gender transition, the relationship between the «right to self-determination», «the right to deletion» and «the right to identity and individuality» is discussed. With regard to ethical issues in the fight against coronavirus, much of the ethical debate caused by the pandemic has been about what moral principles can be used to justify such a choice.


1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.


2020 ◽  
Author(s):  
Catherine Arnott Smith ◽  
Deahan Yu ◽  
Juan Fernando Maestre ◽  
Uba Backonja ◽  
Andrew Boyd ◽  
...  

BACKGROUND Informatics tools for consumers and patients are important vehicles for facilitating engagement, and the field of consumer health informatics is an key space for exploring the potential of these tools. To understand research findings in this complex and heterogeneous field, a scoping review can help not only to identify, but to bridge, the array of diverse disciplines and publication venues involved. OBJECTIVE The goal of this systematic scoping review was to characterize the extent; range; and nature of research activity in consumer health informatics, focusing on the contributing disciplines of informatics; information science; and engineering. METHODS Four electronic databases (Compendex, LISTA, Library Literature, and INSPEC) were searched for published studies dating from January 1, 2008, to June 1, 2015. Our inclusion criteria specified that they be English-language articles describing empirical studies focusing on consumers; relate to human health; and feature technologies designed to interact directly with consumers. Clinical applications and technologies regulated by the FDA, as well as digital tools that do not provide individualized information, were excluded. RESULTS We identified 271 studies in 63 unique journals and 22 unique conference proceedings. Sixty-five percent of these studies were found in health informatics journals; 23% in information science and library science; 15% in computer science; 4% in medicine; and 5% in other fields, ranging from engineering to education. A single journal, the Journal of Medical Internet Research, was home to 36% of the studies. Sixty-two percent of these studies relied on quantitative methods, 55% on qualitative methods, and 17% were mixed-method studies. Seventy percent of studies used no specific theoretical framework; of those that did, Social Cognitive Theory appeared the most frequently, in 16 studies. Fifty-two studies identified problems with technology adoption, acceptance, or use, 38% of these barriers being machine-centered (for example, content or computer-based), and 62% user-centered, the most frequently mentioned being attitude and motivation toward technology. One hundred and twenty-six interventional studies investigated disparities or heterogeneity in treatment effects in specific populations. The most frequent disparity investigated was gender (13 studies), followed closely by race/ethnicity (11). Half the studies focused on a specific diagnosis, most commonly diabetes and cancer; 30% focused on a health behavior, usually information-seeking. Gaps were found in reporting of study design, with only 46% of studies reporting on specific methodological details. Missing details were response rates, since 59% of survey studies did not provide them; and participant retention rates, since 53% of interventional studies did not provide this information. Participant demographics were usually not reported beyond gender and age. Only 17% studies informed the reader of their theoretical basis, and only 4 studies focused on theory at the group, network, organizational or ecological levels—the majority being either health behavior or interpersonal theories. Finally, of the 131 studies describing the design of a new technology, 81% did not involve either patients or consumers in their design. In fact, while consumer and patient were necessarily core concepts in this literature, these terms were often used interchangeably. The research literature of consumer health informatics at present is scattered across research fields; only 49% of studies from these disciplines is indexed by MEDLINE and studies in computer science are siloed in a user interface that makes exploration of that literature difficult. CONCLUSIONS Few studies analyzed in this scoping review were based in theory, and very little was presented in this literature about the life context, motives for technology use, and personal characteristics of study participants.


Dreyfus argues that there is a basic methodological difference between the natural sciences and the social sciences, a difference that derives from the different goals and practices of each. He goes on to argue that being a realist about natural entities is compatible with pluralism or, as he calls it, “plural realism.” If intelligibility is always grounded in our practices, Dreyfus points out, then there is no point of view from which one can ask about or provide an answer to the one true nature of ultimate reality. But that is consistent with believing that the natural sciences can still reveal the way the world is independent of our theories and practices.


Author(s):  
Ronald M. Baecker

The last century has seen enormous leaps in the development of digital technologies, and most aspects of modern life have changed significantly with their widespread availability and use. Technology at various scales - supercomputers, corporate networks, desktop and laptop computers, the internet, tablets, mobile phones, and processors that are hidden in everyday devices and are so small you can barely see them with the naked eye - all pervade our world in a major way. Computers and Society: Modern Perspectives is a wide-ranging and comprehensive textbook that critically assesses the global technical achievements in digital technologies and how are they are applied in media; education and learning; medicine and health; free speech, democracy, and government; and war and peace. Ronald M. Baecker reviews critical ethical issues raised by computers, such as digital inclusion, security, safety, privacy,automation, and work, and discusses social, political, and ethical controversies and choices now faced by society. Particular attention is paid to new and exciting developments in artificial intelligence and machine learning, and the issues that have arisen from our complex relationship with AI.


2021 ◽  
Vol 11 (4) ◽  
pp. 163
Author(s):  
Giusi Antonia Toto ◽  
Pierpaolo Limone

In the relationship between teachers and distance learning in the context of COIVD-19, a series of unprecedented dynamics have emerged relating to a process of open-air experimentation that is going on in the world of school. The main constructs investigated in this paper concern the professional perceptions of teachers in terms of their skills and resistances towards digital technologies. To investigate this topic, a questionnaire on distance learning was administered to a sample of 658 teachers. From a methodological point of view, factor and reliability analyses and correlation and regression analyses were conducted. From the analysis of the results, it emerged that the questionnaire measures the resistance of teachers to distance learning and focuses on three main dimensions (two positive and one negative) that link teachers’ perceptions to the resistance to distance learning. In conclusion, the theme of the acceptance of technologies in the practice of teachers is still a subject full of meaning for professional perception and vision. A second issue concerns precisely the relationship between digital technologies and users, which must no longer focus only on the relationship with students but also on the perspective of the other training actors, including teachers.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Schröder-Bäck ◽  
T Schloemer ◽  
K Martakis ◽  
C Brall

Abstract Background The outbreak of SARS in 2002 lead to a public health ethics discourse. The crisis management of that time was ethically analysed and lessons to be learned discussed. Scholarship and WHO, among others, developed an ethics of pandemic preparedness. The current “corona crisis” also faces us with ethical challenges. This presentation is comparing the two crises from an ethical point of view and a focus on Europe. Methods An ethics framework for pandemic preparedness (Schröder et al. 2006 and Schröder-Bäck 2014) is used to make a synopsis of ethical issues. Ethical aspects of 2002 and 2020 that were discussed in the literature and in the media are compared. For 2020, the focus is on interventions in Italy, Germany, Switzerland, and the Netherlands. Results Topics that emerged from the 2002 crisis were, among others, revolving around aspects of stigmatisation and fair distribution of scarce resources (esp. vaccines, antivirals). Currently, most urgent and ethically challenging aspects relate to social distancing vs. autonomy: Isolation and quarantine are handled differently across Europe and the EU. Questions of transferability of such interventions prevail. Contexts vary vertically over time (2002 vs. 2020) and horizontally (e.g. between Italy and Germany at the same time). Furthermore, trust in authorities, media and health information is a key issue. Conclusions Ethical aspects are key for good pandemic preparedness and management. The context of the crises between 2002 and 2020 has slightly changed, also based on “lessons learned” from 2002. This has implications on ethical issues that are being discussed. New lessons will have to be learned from the 2020 crisis. Key messages Pandemic preparedness and outbreak management entail many ethical tensions that need to be addressed. Currently, questions of trust and transferability are key to the crisis management, further ethical issues could still emerge.


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