The study, conducted over a four-year academic cycle with the assistance of M2 students from the Cyberjustice Master's programme at the Faculty of Law, Political Science and Management at the University of Strasbourg, aims to objectively assess the discourse and representations of the digital transformation of justice, in particular by capitalising on testimonials from professionals in the field and drawing on the available literature.
Large Language Models (LLM) are studied. Applications to chatbots and education are considered. A case study on Leonardo's contribution to astronomy is presented. Major problems with accuracy, reproducibility and traceability of answers are reported for ChatGPT, GPT-4, BLOOM and Google Bard. Possible reasons for problems are discussed and some solutions are proposed.
This paper presents an ongoing analyze of the Active Citizen e-voting system proposed by the Moscow city hall. This research points out that the main objective of the platform is not to enhance the democratic power of the Muscovites, but to strengthen the position of Moscow as a modern city at a world scale and the position of the city hall in the Russian political system.
Algorithms wield increasing power over our lives. They can and often do wield that power unfairly, and much has been said about algorithmic fairness. In contrast, algorithmic neutrality has been largely neglected. I investigate algorithmic neutrality, asking: What is it? Is it possible? And what is its normative significance?
A set of six algorithmic solutions is presented for resolving vaccine production and supply chain bottlenecks. A different set of algorithmic solutions is presented for forecasting risks during a Disease X event.
Social media and messaging platforms have become a support system for those in fear of COVID-19 while, at the same time, becoming the root cause of spreading hate, inaccurate representations, and false realities. As technology has morphed into a commodity for daily tasks and actions, this article may be useful for people of all ages and backgrounds who are interested in understanding the impact of technology on society.
This paper explores the role of public and private sector teams as they collaborate to form and manage a community and platform for digital entrepreneurs in Bahrain. The paper employed the theoretical concept of boundary spanners to explore the nature of interactions between the two teams as support digital entrepreneurship and the outcomes that emerged from these interactions. The findings present the nature of the inter-sectoral interactions as boundary spanning that contributed to the initiation and formalization of the community and platform.
There is some disagreement on whether Likert scale data should be treated as ordinal or continuous. This paper treats Likert data as ordinal, uses non-parametric hypothesis testing, and clustering to validate those variables that have significant results from hypothesis testing.
The Cloud has become a principal paradigm of computing in the last ten years, and Computer Science curricula must be updated to reflect that reality. This paper examines simple ways to accomplish curriculum cloudification using Amazon Web Services (AWS), for Computer Science and other disciplines such as Business, Communication and Mathematics.
Over a period of five years, the Institute of Chartered Accountants in England and Wales (ICAEW) has developed a suite of three 'thought leadership' papers surrounding good practice in spreadsheet use and spreadsheet work environments. We will review the history of these three papers, the key lessons which each has to teach, and discuss how the process of making them has helped ICAEW to develop its position in the field.
We propose a new model for regulation to achieve AI safety: global regulatory markets. We first sketch the model in general terms and provide an overview of the costs and benefits of this approach. We then demonstrate how the model might work in practice: responding to the risk of adversarial attacks on AI models employed in commercial drones.
Gender and racial diversity in the mediated images from the media shape our perception of different demographic groups. In this work, we investigate gender and racial diversity of 85,957 advertising images shared by the 73 top international brands on Instagram and Facebook. We hope that our analyses give guidelines on how to build a fully automated watchdog for gender and racial diversity in online advertisements.
Philosophical thinking has a side effect: by aiming to find the essence of a diverse set of phenomena, it often makes it difficult to see the differences between them. This can be the case with Mathematics, Programming, Writing and Philosophy itself. Their unified essence is having a shared understanding of the world helped by off-loading our cognitive efforts to suitable languages.
AI, Algorithms and Machine based automation of executive functions in enterprises and institutions is an important niche in the current considerations about the impact of digitalization on the future of work. Building platforms for CxO automation is challenging. In this paper, design principles based on computational thinking are used to engineer the architecture and infrastructure for such CxO automation platforms.
Over the past decade, the idea of smart homes has been conceived as a potential solution to counter energy crises or to at least mitigate its intensive destructive consequences in the residential building sector.
The question "what is Bitcoin" allows for many answers depending on the objectives aimed at when providing such answers. The question addressed in this paper is to determine a top-level classification, or type, for Bitcoin. We will classify Bitcoin as a system of type money-like informational commodity (MLIC).