scholarly journals Digital Humanism and Global Issues in Artificial Intelligence Ethics

2021 ◽  
pp. 83-88
Author(s):  
Guglielmo Tamburrini

AbstractIn the fight against pandemics and climate crisis, the zero hunger challenge, the preservation of international peace and stability, and the protection of democratic participation in political decision-making, AI has increasing – and often double-edged – roles to play in connection with ethical issues having a genuinely global dimension. The governance of AI ambivalence in these contexts looms large on both the AI ethics and digital humanism agendas.

2020 ◽  
Vol 9 (11) ◽  
pp. 207
Author(s):  
João Reis ◽  
Paula Santo ◽  
Nuno Melão

In the last six decades, many advances have been made in the field of artificial intelligence (AI). Bearing in mind that AI technologies are influencing societies and political systems differently, it can be useful to understand what are the common issues between similar states in the European Union and how these political systems can collaborate with each other, seeking synergies, finding opportunities and saving costs. Therefore, we carried out an exploratory research among similar states of the European Union, in terms of scientific research in areas of AI technologies, namely: Portugal, Greece, Austria, Belgium and Sweden. A key finding of this research is that intelligent decision support systems (IDSS) are essential for the political decision-making process, since politics normally deals with complex and multifaceted decisions, which involve trade-offs between different stakeholders. As public health is becoming increasingly relevant in the field of the European Union, the IDSSs can provide relevant contributions, as it may allow sharing critical information and assist in the political decision-making process, especially in response to crisis situations.


2014 ◽  
Vol 73 (3) ◽  
pp. 250-259
Author(s):  
Etienne Verhoeyen

Met dit boek levert Frank Seberechts een nagenoeg volledige studie af van een van de minder fraai kanten van de Belgische samenleving in 1940: de administratieve arrestatie en de wegvoering naar Frankrijk van enkele duizenden personen (de ‘verdachten’), Belgen of in België verblijvende vreemdelingen. De extreem-rechtse en pro-Duitse arrestanten hebben na hun vrijlating dit feit politiek in hun voordeel uitgebaat, waardoor volledig in de schaduw kwam te staan dat de overgrote meerderheid van de weggevoerden joodse mensen waren die in de jaren voor de oorlog naar België waren gevlucht. Dat het beeld van de wegvoeringen niet volledig is, is grotendeels te wijten aan het feit dat de meeste archieven die hierop betrekking hebben tijdens de meidagen van 1940 vernietigd werden. Met name de politieke besluitvorming over de wegvoeringen vertoont nog steeds schemerzones, zodat het vastleggen van verantwoordelijkheden ook vandaag nog een gewaagde onderneming is.________Deportations and the deported during the Maydays in 1940 By means of this book Frank Seberechts provides an almost complete study of one of the less admirable sides of Belgian society in 1940: the administrative arrest and the deportation to France of some thousands of people (‘the suspects’), Belgians or foreigners residing in Belgium. The extreme-right and pro-German detainees politically exploited this fact after they had been freed, but this completely overshadowed the point that the large majority of the deported people were Jews who had fled to Belgium during the years preceding the war. This incomplete portrayal of the deportations is mainly due to the fact that most of the archives relating to the events had been destroyed during the Maydays of 1940. The history of the political decision-making about the deportations in particular still shows many grey areas and it is therefore still a risky business even today to determine which people should be held accountable.


This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology today has led to a growing number of ethical issues in a multitude of fields, ranging from disciplines as far-reaching as international human rights law to issues as intimate as personal identity and sexuality. In fact, the number and variety of topics in this volume illustrate the width, diversity of content, and at times exasperating vagueness of the boundaries of “AI Ethics” as a domain of inquiry. Within this discourse, the book points to the capacity of sociotechnical systems that utilize data-driven algorithms to classify, to make decisions, and to control complex systems. Given the wide-reaching and often intimate impact these AI systems have on daily human lives, this volume attempts to address the increasingly complicated relations between humanity and artificial intelligence. It considers not only how humanity must conduct themselves toward AI but also how AI must behave toward humanity.


Author(s):  
Takeuchi Ayano

AbstractPublic participation has become increasingly necessary to connect a wide range of knowledge and various values to agenda setting, decision-making and policymaking. In this context, deliberative democratic concepts, especially “mini-publics,” are gaining attention. Generally, mini-publics are conducted with randomly selected lay citizens who provide sufficient information to deliberate on issues and form final recommendations. Evaluations are conducted by practitioner researchers and independent researchers, but the results are not standardized. In this study, a systematic review of existing research regarding practices and outcomes of mini-publics was conducted. To analyze 29 papers, the evaluation methodologies were divided into 4 categories of a matrix between the evaluator and evaluated data. The evaluated cases mainly focused on the following two points: (1) how to maintain deliberation quality, and (2) the feasibility of mini-publics. To create a new path to the political decision-making process through mini-publics, it must be demonstrated that mini-publics can contribute to the decision-making process and good-quality deliberations are of concern to policy-makers and experts. Mini-publics are feasible if they can contribute to the political decision-making process and practitioners can evaluate and understand the advantages of mini-publics for each case. For future research, it is important to combine practical case studies and academic research, because few studies have been evaluated by independent researchers.


Author(s):  
Jessica Morley ◽  
Anat Elhalal ◽  
Francesca Garcia ◽  
Libby Kinsey ◽  
Jakob Mökander ◽  
...  

AbstractAs the range of potential uses for Artificial Intelligence (AI), in particular machine learning (ML), has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible (and thus vulnerable to ethics washing) or too strict (unresponsive to context). This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’


Author(s):  
AJung Moon ◽  
Shalaleh Rismani ◽  
H. F. Machiel Van der Loos

Abstract Purpose of Review To summarize the set of roboethics issues that uniquely arise due to the corporeality and physical interaction modalities afforded by robots, irrespective of the degree of artificial intelligence present in the system. Recent Findings One of the recent trends in the discussion of ethics of emerging technologies has been the treatment of roboethics issues as those of “embodied AI,” a subset of AI ethics. In contrast to AI, however, robots leverage human’s natural tendency to be influenced by our physical environment. Recent work in human-robot interaction highlights the impact a robot’s presence, capacity to touch, and move in our physical environment has on people, and helping to articulate the ethical issues particular to the design of interactive robotic systems. Summary The corporeality of interactive robots poses unique sets of ethical challenges. These issues should be considered in the design irrespective of and in addition to the ethics of artificial intelligence implemented in them.


1976 ◽  
Vol 20 (1) ◽  
pp. 33-64 ◽  
Author(s):  
Samuel A. Kirkpatrick ◽  
Dwight F. Davis ◽  
Roby D. Robertson

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