1,511 research outputs found
Multidisciplinary perspectives on Artificial Intelligence and the law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (âAIâ) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics â and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the CatĂłlica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
La traduzione specializzata allâopera per una piccola impresa in espansione: la mia esperienza di internazionalizzazione in cinese di Bioretics© S.r.l.
Global markets are currently immersed in two all-encompassing and unstoppable processes: internationalization and globalization. While the former pushes companies to look beyond the borders of their country of origin to forge relationships with foreign trading partners, the latter fosters the standardization in all countries, by reducing spatiotemporal distances and breaking down geographical, political, economic and socio-cultural barriers. In recent decades, another domain has appeared to propel these unifying drives: Artificial Intelligence, together with its high technologies aiming to implement human cognitive abilities in machinery. The âLanguage Toolkit â Le lingue straniere al servizio dellâinternazionalizzazione dellâimpresaâ project, promoted by the Department of Interpreting and Translation (ForlĂŹ Campus) in collaboration with the Romagna Chamber of Commerce (ForlĂŹ-Cesena and Rimini), seeks to help Italian SMEs make their way into the global market. It is precisely within this project that this dissertation has been conceived. Indeed, its purpose is to present the translation and localization project from English into Chinese of a series of texts produced by Bioretics© S.r.l.: an investor deck, the company website and part of the installation and use manual of the Aliquis© framework software, its flagship product. This dissertation is structured as follows: Chapter 1 presents the project and the company in detail; Chapter 2 outlines the internationalization and globalization processes and the Artificial Intelligence market both in Italy and in China; Chapter 3 provides the theoretical foundations for every aspect related to Specialized Translation, including website localization; Chapter 4 describes the resources and tools used to perform the translations; Chapter 5 proposes an analysis of the source texts; Chapter 6 is a commentary on translation strategies and choices
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Understanding the Impact of Covid-19 on Ethnic Minority Students: a Case Study of Open University Level 1 Computing Modules
As reported in [1] âOf the disparities that exist within higher education, the gap between the likelihood of White students and students from Black, Asian or minority ethnic backgrounds getting a first- or upper-second-class degree is among the starkestâ. In the Open University (OU) for example, a recent research [2] found students from ethnic minorities to be at least 20% less likely to achieve excellent grades and to spend 4-12% more of study time to achieve the same performance as white students. Moreover, with the advent of COVID-19, a growing body of research suggested that students from these groups of the population, suffer disproportionally from the impacts of the pandemic [3], which inevitably impacts on their study experiences. However, recent research in the OU found that some COVID-19 arrangements such as the change of examination mode and change in work-life patterns have impacted students from ethnic minority backgrounds differently. In this paper we present findings from a project aiming to understand the impact of COVID-19 on ethnic minority studentsâ study experiences and performance. By means of a combination of qualitative and quantitative data analytics we first analysed the study performance and the patterns of progression, then by conducting focus groups with the teaching staff we assessed the impact of COVID-19 on the lived experiences of the students.
[1] Black, Asian and Minority Ethnic Student Attainment at UK Universities (2022). Available at: https://www.universitiesuk.ac.uk.
[2] Nguyen Q., Rienties B. Richardson J.T.E. (2020) Learning analytics to uncover inequality in behavioural engagement and academic attainment in a distance learning setting, Assessment & Evaluation in Higher Education, 45:4, 594-606.
[3] Arday, J. and Jones, C. (2022) âSame storm, different boats: The impact of covid-19 on black students and academic staff in UK and US higher education,â Higher Education. Available at:
https://doi.org/10.1007/s10734-022-00939-0
ACiS: smart switches with application-level acceleration
Network performance has contributed fundamentally to the growth of supercomputing over the past decades. In parallel, High Performance Computing (HPC) peak performance has depended, first, on ever faster/denser CPUs, and then, just on increasing density alone. As operating frequency, and now feature size, have levelled off, two new approaches are becoming central to achieving higher net performance: configurability and integration. Configurability enables hardware to map to the application, as well as vice versa. Integration enables system components that have generally been single function-e.g., a network to transport dataâto have additional functionality, e.g., also to operate on that data. More generally, integration enables compute-everywhere: not just in CPU and accelerator, but also in network and, more specifically, the communication switches.
In this thesis, we propose four novel methods of enhancing HPC performance through Advanced Computing in the Switch (ACiS). More specifically, we propose various flexible and application-aware accelerators that can be embedded into or attached to existing communication switches to improve the performance and scalability of HPC and Machine Learning (ML) applications. We follow a modular design discipline through introducing composable plugins to successively add ACiS capabilities.
In the first work, we propose an inline accelerator to communication switches for user-definable collective operations. MPI collective operations can often be performance killers in HPC applications; we seek to solve this bottleneck by offloading them to reconfigurable hardware within the switch itself. We also introduce a novel mechanism that enables the hardware to support MPI communicators of arbitrary shape and that is scalable to very large systems.
In the second work, we propose a look-aside accelerator for communication switches that is capable of processing packets at line-rate. Functions requiring loops and states are addressed in this method. The proposed in-switch accelerator is based on a RISC-V compatible Coarse Grained Reconfigurable Arrays (CGRAs).
To facilitate usability, we have developed a framework to compile user-provided C/C++ codes to appropriate back-end instructions for configuring the accelerator.
In the third work, we extend ACiS to support fused collectives and the combining of collectives with map operations. We observe that there is an opportunity of fusing communication (collectives) with computation. Since the computation can vary for different applications, ACiS support should be programmable in this method.
In the fourth work, we propose that switches with ACiS support can control and manage the execution of applications, i.e., that the switch be an active device with decision-making capabilities. Switches have a central view of the network; they can collect telemetry information and monitor application behavior and then use this information for control, decision-making, and coordination of nodes.
We evaluate the feasibility of ACiS through extensive RTL-based simulation as well as deployment in an open-access cloud infrastructure. Using this simulation framework, when considering a Graph Convolutional Network (GCN) application as a case study, a speedup of on average 3.4x across five real-world datasets is achieved on 24 nodes compared to a CPU cluster without ACiS capabilities
Gratitude in Healthcare an interdisciplinary inquiry
The expression and reception of gratitude is a significant dimension of interpersonal communication in care-giving relationships. Although there is a growing body of evidence that practising gratitude has health and wellbeing benefits for the giver and receiver, gratitude as a social emotion made in interaction has received comparatively little research attention. To address this gap, this thesis draws on a portfolio of qualitative methods to explore the ways in which gratitude is constituted in care provision in personal, professional, and public discourse. This research is informed by a discursive psychology approach in which gratitude is analysed, not as a morally virtuous character trait, but as a purposeful, performative social action that is mutually co-constructed in interaction.I investigate gratitude through studies that approach it on a meta, meso, macro, and micro level. Key intellectual traditions that underpin research literature on gratitude in healthcare are explored through a metanarrative review. Six underlying metanarratives were identified: social capital; gifts; care ethics; benefits of gratitude; staff wellbeing; and gratitude as an indicator of quality of care. At the meso (institutional) level, a narrative analysis of an archive of letters between patients treated for tuberculosis and hospital almoners positions gratitude as participating in a Maussian gift-exchange ritual in which communal ties are created and consolidated.At the macro (societal) level, a discursive analysis of tweets of gratitude to the National Health Service at the outset of the Covid-19 pandemic shows that attitudes to gratitude were dynamic in response to events, with growing unease about deflecting attention from risk reduction for those working in the health and social care sectors. A follow-up analysis of the clap-for-carers movement implicates gratitude in embodied, symbolic, and imagined performances in debates about care justice. At the micro (interpersonal) level, an analysis of gratitude encounters broadcast in the BBC documentary series, Hospital, uses pragmatics and conversation analysis to argue that gratitude is an emotion made in talk, with the uptake of gratitude opportunities influencing the course of conversational sequencing. The findings challenge the oftenmade distinction between task-oriented and relational conversation in healthcare.Moral economics are paradigmatic in the philosophical conceptualisation of gratitude. My research shows that, although balance-sheet reciprocity characterised the institutional culture of the voluntary hospital, it is hardly ever a feature ofinterpersonal gratitude encounters. Instead, gratitude is accomplished as shared moments of humanity through negotiated encounters infused with affect. Gratitude should never be instrumentalised as compensating for unsafe, inadequatelyrenumerated work. Neither should its potential to enhance healthcare encounters be underestimated. Attention to gratitude can participate in culture change by affirming modes of acting, emoting, relating, expressing, and connecting that intersect with care justice.This thesis speaks to gratitude as a culturally salient indicator of what people express as worthy of appreciation. It calls for these expressions to be more closely attended to, not only as useful feedback that can inform change, but also because gratitude is a resource on which we can draw to enhance and enrich healthcare as a communal, collaborative, cooperative endeavour
A Process Model for Continuous Public Service Improvement: Demonstrated in Local Government Context for Smart Cities.
The new era of the smart city is accompanied by Information and Communication Technology (ICT) and many other technologies to improve the quality of life for the citizen of the modern city, that in turn, has brought immense opportunities as well as challenges for government and organizations. Local authorities of the cities provide multiple services across different domains to the citizens (e.g. transport, health, environment, housing, etc.). Citizens are involved during different stages of smart city services and provide their feedback across those domains. Existing smart city initiatives provide various technological platforms for gathering citizensâ feedback to provide improved quality of services to them. Even though technological developments have resulted in a higher degree of digitalization, there is a need for improvement in the services provided by municipalities. There are multiple engagement platforms to obtain citizensâ feedback for the improvement of smart city services and to transform public services. However, limited studies consider the challenges faced by practitioners at the local level during the incorporation of those feedback for further service improvement. As a result, city services fail to fulfil the need of citizens and do not meet the goals set by existing engagement platforms. Technology-oriented solutions in the public sector domain require a logical and structured approach for the transformation of public services and digitalization. Enterprise Architecture (EA) can provide this structured approach to transform public services by providing a medium to manage change, and to respond to the need of multiple stakeholders including citizens. Thus, this research proposes a process model based on the guidelines of EA and the collaboration with practitioners that would assist local authorities to provide improved services to the citizens and fulfil their needs
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Policy options for food system transformation in Africa and the role of science, technology and innovation
As recognized by the Science, Technology and Innovation Strategy for Africa â 2024 (STISA-2024), science, technology and innovation (STI) offer many opportunities for addressing the main constraints to embracing transformation in Africa, while important lessons can be learned from successful interventions, including policy and institutional innovations, from those African countries that have already made significant progress towards food system transformation. This chapter identifies opportunities for African countries and the region to take proactive steps to harness the potential of the food and agriculture sector so as to ensure future food and nutrition security by applying STI solutions and by drawing on transformational policy and institutional innovations across the continent. Potential game-changing solutions and innovations for food system transformation serving people and ecology apply to (a) raising production efficiency and restoring and sustainably managing degraded resources; (b) finding innovation in the storage, processing and packaging of foods; (c) improving human nutrition and health; (d) addressing equity and vulnerability at the community and ecosystem levels; and (e) establishing preparedness and accountability systems. To be effective in these areas will require institutional coordination; clear, food safety and health-conscious regulatory environments; greater and timely access to information; and transparent monitoring and accountability systems
Towards A Practical High-Assurance Systems Programming Language
Writing correct and performant low-level systems code is a notoriously demanding job, even for experienced developers. To make the matter worse, formally reasoning about their correctness properties introduces yet another level of complexity to the task. It requires considerable expertise in both systems programming and formal verification. The development can be extremely costly due to the sheer complexity of the systems and the nuances in them, if not assisted with appropriate tools that provide abstraction and automation.
Cogent is designed to alleviate the burden on developers when writing and verifying systems code. It is a high-level functional language with a certifying compiler, which automatically proves the correctness of the compiled code and also provides a purely functional abstraction of the low-level program to the developer. Equational reasoning techniques can then be used to prove functional correctness properties of the program on top of this abstract semantics, which is notably less laborious than directly verifying the C code.
To make Cogent a more approachable and effective tool for developing real-world systems, we further strengthen the framework by extending the core language and its ecosystem. Specifically, we enrich the language to allow users to control the memory representation of algebraic data types, while retaining the automatic proof with a data layout refinement calculus. We repurpose existing tools in a novel way and develop an intuitive foreign function interface, which provides users a seamless experience when using Cogent in conjunction with native C. We augment the Cogent ecosystem with a property-based testing framework, which helps developers better understand the impact formal verification has on their programs and enables a progressive approach to producing high-assurance systems. Finally we explore refinement type systems, which we plan to incorporate into Cogent for more expressiveness and better integration of systems programmers with the verification process
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