Reconsidering Public Relations’ Infatuation with Dialogue: Why Engagement and Reconciliation Can Be More Ethical Than Symmetry and Reciprocity

Advocates of dialogic communication have promoted two-way symmetrical communication as the most effective and ethical model for public relations. This article uses John Durham Peters’s critique of dialogic communication to reconsider this infatuation with dialogue. In this article, we argue that dialogue’s potential for selectivity and tyranny poses moral problems for public relations. Dialogue’s emphasis on reciprocal communication also saddles public relations with ethically questionable quid pro quo relationships. We contend that dissemination can be more just than dialogue because it demands more integrity of the source and recognizes the freedom and individuality of the source. The type of communication, such as dialogue or dissemination, is less important than the mutual discovery of truth. Reconciliation, a new model of public relations, is proposed as an alternative to pure dialogue. Reconciliation recognizes and values individuality and differences, and integrity is no longer sacrificed at the altar of agreement

Dwarna : a blockchain solution for dynamic consent in biobanking

Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within the context of biobanking, it gives individuals access to information and control to determine how and where their biospecimens and data should be used. We present Dwarna—a web portal for ‘dynamic consent’ that acts as a hub connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the general public. The portal stores research partners’ consent in a blockchain to create an immutable audit trail of research partners’ consent changes. Dwarna’s structure also presents a solution to the European Union’s General Data Protection Regulation’s right to erasure—a right that is seemingly incompatible with the blockchain model. Dwarna’s transparent structure increases trustworthiness in the biobanking process by giving research partners more control over which research studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen and associated data are destroyed.peer-reviewe

Cryptocurrency with a Conscience: Using Artificial Intelligence to Develop Money that Advances Human Ethical Values

Cryptocurrencies like Bitcoin are offering new avenues for economic empowerment to individuals around the world. However, they also provide a powerful tool that facilitates criminal activities such as human trafficking and illegal weapons sales that cause great harm to individuals and communities. Cryptocurrency advocates have argued that the ethical dimensions of cryptocurrency are not qualitatively new, insofar as money has always been understood as a passive instrument that lacks ethical values and can be used for good or ill purposes. In this paper, we challenge such a presumption that money must be ‘value-neutral.’ Building on advances in artificial intelligence, cryptography, and machine ethics, we argue that it is possible to design artificially intelligent cryptocurrencies that are not ethically neutral but which autonomously regulate their own use in a way that reflects the ethical values of particular human beings – or even entire human societies. We propose a technological framework for such cryptocurrencies and then analyse the legal, ethical, and economic implications of their use. Finally, we suggest that the development of cryptocurrencies possessing ethical as well as monetary value can provide human beings with a new economic means of positively influencing the ethos and values of their societies

Big Data Privacy Context: Literature Effects On Secure Informational Assets

This article's objective is the identification of research opportunities in the current big data privacy domain, evaluating literature effects on secure informational assets. Until now, no study has analyzed such relation. Its results can foster science, technologies and businesses. To achieve these objectives, a big data privacy Systematic Literature Review (SLR) is performed on the main scientific peer reviewed journals in Scopus database. Bibliometrics and text mining analysis complement the SLR. This study provides support to big data privacy researchers on: most and least researched themes, research novelty, most cited works and authors, themes evolution through time and many others. In addition, TOPSIS and VIKOR ranks were developed to evaluate literature effects versus informational assets indicators. Secure Internet Servers (SIS) was chosen as decision criteria. Results show that big data privacy literature is strongly focused on computational aspects. However, individuals, societies, organizations and governments face a technological change that has just started to be investigated, with growing concerns on law and regulation aspects. TOPSIS and VIKOR Ranks differed in several positions and the only consistent country between literature and SIS adoption is the United States. Countries in the lowest ranking positions represent future research opportunities.Comment: 21 pages, 9 figure

Fostering the Biosecurity Norm: Biosecurity Education for the Next Generation of Life Scientists

Sustainable education on biosecurity and dual use for life scientists is increasingly recognised as being an important element of broader efforts to achieve biosecurity. To address this issue, a joint project between the Landau Network-Centro Volta and the Bradford Disarmament Research Centre has been initiated to analyse what currently exists in terms of biosecurity and dual use education, but also how such education can be most effectively achieved in a sustainable fashion. The purpose of this paper is to elaborate on the findings of a survey on the extent of, and attitudes to, biosecurity and dual use education in European universities, and outline the educational activities undertaken through a network of contacts built through the survey and some of the conclusions drawn from engagement with this network. The paper also outlines the development and optimization of an Educational Module Resource intended to support lecturers in the improvement and implementation of educational material related to biosecurity and dual use. This is further expanded by the authors' experience derived from implementation tests conducted at universities around Europe, in which material was tested with students and faculty members. To date, the main results from this evaluative process are that students and faculties are generally unaware of biosecurity and dual use concerns, but nonetheless appear interested in discussing these topics and have initiated challenging debates on the importance of balancing factors such as security, research, secrecy and development. However, serious efforts in terms of developing and promulgating education more broadly across the life science community will require concerted actions which look at education but also at other mutually reinforcing intervention points such as funding bodies, authors and publishers. Moreover, in the longer term it will also be necessary to develop new mechanisms and metrics to determine success in these activities and ensure that educational activities are contributing, along with other legal and regulatory measures, to mitigating the challenge of potential misuse of the life sciences in the 21st century

From Social Data Mining to Forecasting Socio-Economic Crisis

Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, distributed data mining infrastructure and research centers should be built in Europe. It also appears appropriate to build a network of Crisis Observatories. They can be imagined as laboratories devoted to the gathering and processing of enormous volumes of data on both natural systems such as the Earth and its ecosystem, as well as on human techno-socio-economic systems, so as to gain early warnings of impending events. Reality mining provides the chance to adapt more quickly and more accurately to changing situations. Further opportunities arise by individually customized services, which however should be provided in a privacy-respecting way. This requires the development of novel ICT (such as a self- organizing Web), but most likely new legal regulations and suitable institutions as well. As long as such regulations are lacking on a world-wide scale, it is in the public interest that scientists explore what can be done with the huge data available. Big data do have the potential to change or even threaten democratic societies. The same applies to sudden and large-scale failures of ICT systems. Therefore, dealing with data must be done with a large degree of responsibility and care. Self-interests of individuals, companies or institutions have limits, where the public interest is affected, and public interest is not a sufficient justification to violate human rights of individuals. Privacy is a high good, as confidentiality is, and damaging it would have serious side effects for society.Comment: 65 pages, 1 figure, Visioneer White Paper, see http://www.visioneer.ethz.c

The Precautionary Principle in a World of Digital Dependencies

As organizations become deperimeterized, a new paradigm in software engineering ethics becomes necessary. We can no longer rely on an ethics of consequences, but might instead rely on the precautionary principle, which lets software engineers focus on creating a more extensive moral framework.\u