This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives. Firstly, we discuss the conceptual distinction between transparency in AI and algorithmic transparency, and argue for the wider concept 'in AI', as a partly contested albeit useful notion in relation to transparency.Secondly, we show that transparency as a general concept is multifaceted, and of widespread theoretical use in multiple disciplines over time, particularly since the 1990s. Still, it has had a resurgence in contemporary notions of AI governance, such as in the multitude of recently published ethics guidelines on AI. Thirdly, we discuss and show the relevance of the fact that transparency expresses a conceptual metaphor of more general significance, linked to knowing, bringing positive connotations that may have normative effects to regulatory debates. Finally, we draw a possible categorisation of aspects related to transparency in AI, or what we interchangeably call AI transparency, and argue for the need of developing a multidisciplinary understanding, in order to contribute to the governance of AI as applied on markets and in society.

The European Union directive on Intellectual

This article uses a socio-legal perspective to analyze the use of ethics guidelines as a governance tool in the development and use of artificial intelligence (AI). This has become a central policy area in several large jurisdictions, including China and Japan, as well as the EU, focused on here. Particular emphasis in this article is placed on the Ethics Guidelines for Trustworthy AI published by the EU Commission’s High-Level Expert Group on Artificial Intelligence in April 2019, as well as the White Paper on AI, published by the EU Commission in February 2020. The guidelines are reflected against partially overlapping and already-existing legislation as well as the ephemeral concept construct surrounding AI as such. The article concludes by pointing to (1) the challenges of a temporal discrepancy between technological and legal change, (2) the need for moving from principle to process in the governance of AI, and (3) the multidisciplinary needs in the study of contemporary applications of data-dependent AI.

The current study empirically demonstrates the widely discussed gap between copyright law and social norms. Theoretically founded in the sociology of law, the study uses a well-defined concept of norms to quantitatively measure changes in the strength of social norms before and after the implementation of legislation. The 'IPRED law' was implemented in Sweden on 1 April 2009, as a result of the EU IPR Enforcement Directive 2004/48/EC. It aims at enforcing copyright, as well as other IP rights, when they are violated, especially online. A survey was conducted three months before the IPRED law came into force, and it was repeated six months later. The approximately one thousand respondents between fifteen and twenty-five years-of-age showed, among other things, that although actual file-sharing behaviour had to some extent decreased in frequency, social norms remained unaffected by the law.

This article analyses current trends in the use of anonymity services among younger Swedes (15-25 years old) and focuses on individuals engaging in illegal file sharing in order to better understand the rationale behind both file sharing as well as online anonymity, especially in relation to enforcement of copyright. By comparing the findings of a survey conducted on three occasions (early 2009, late 2009 and early 2012), we measure the fluctuations in the use of anonymity services among approximately 1000 15-25-year-olds in Sweden, compare them with file sharing frequencies and, to some extent, trends within legal enforcement. The article also suggests that the key to understanding any relationship between copyright enforcement and fluctuations in online anonymity can be found in the law's relationship to social norms in terms of legitimacy by showing a correlation between file sharing frequency and the use of anonymity services. The findings indicate that larger proportions of frequent file sharers (downloaders) also use anonymity services more often than those who file share less. However, in comparison to the earlier surveys, the strongest increase in the use of anonymity services is found in the groups where file sharing is less frequent, suggesting that reasons for actively making oneself less traceable online other than avoiding copyright enforcement have emerged since the initial two surveys in 2009. Further, the overall increase (from 8.6 per cent to 14.9 per cent) in using anonymity services found for the whole group of respondents suggests both that high file sharing frequency is a driver for less traceability, as well as a larger trend for online anonymity relating to factors other than mere file sharing of copyright infringing content -for example, increased governmental identification, data retention and surveillance in the online environment. The results are analysed in Merton's terminology as file sharers and protocol architects adapting in terms of both innovation and rebellion in the sense that institutional means for achieving specific

L’article propose une analyse sociojuridique des questions d’équité, de responsabilité et de transparence posées par les applications d’intelligence artificielle (IA) employées actuellement dans nos sociétés et de machine learning . Pour rendre compte de ces défis juridiques et normatifs, nous analysons des cas problématiques, comme la reconnaissance d’images fondée sur des bases de données qui présentent des biais de genre. Nous envisageons ensuite sept aspects de la transparence qui permettent de compléter les notions d’ explainable AI  (XAI) dans la recherche en sciences informatiques. L’article examine aussi l’effet de miroir normatif provoqué par l’usage des valeurs humaines et des structures sociétales comme données d’entraînement pour les technologies d’apprentissage. Enfin, nous plaidons pour une approche multidisciplinaire dans la recherche, le développement et la gouvernance en matière d’IA.

The understanding that theorists and practitioners hold of self‐directed learning can vary depending on the context in which they find themselves. In an effort to understand these variations, attempts to synthesize theoretical understandings of the concept of self‐directed learning in the workplace. Includes an empirical study involving 21 white‐collar employees in four Australian businesses. Reveals six variations in the workers′ conception of the experience of self‐directed learning in their jobs. Provides a brief comparative discussion of the results of synthesis of the literature and those from the empirical study.

This literature review seeks to map the state of research on the effects of digitization on personal financial behavior and management through a bibliometric analysis and a systematic literature review. The findings indicate that current knowledge is primarily based on perspectives of actors in commerce and systems development. More research is needed on how personal financial behavior change in relation to digital technology, the vulnerability of children and adolescents, and the links between changes in credit behavior and indebtedness. Financial counseling could benefit from an awareness of young adults vulnerability as digital consumers and an extended perception of financial literacy that encompasses requirements of digital society. Policymakers need to be aware of the consequences of digital measurability.