23 research outputs found

    Building bridges for better machines : from machine ethics to machine explainability and back

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    Be it nursing robots in Japan, self-driving buses in Germany or automated hiring systems in the USA, complex artificial computing systems have become an indispensable part of our everyday lives. Two major challenges arise from this development: machine ethics and machine explainability. Machine ethics deals with behavioral constraints on systems to ensure restricted, morally acceptable behavior; machine explainability affords the means to satisfactorily explain the actions and decisions of systems so that human users can understand these systems and, thus, be assured of their socially beneficial effects. Machine ethics and explainability prove to be particularly efficient only in symbiosis. In this context, this thesis will demonstrate how machine ethics requires machine explainability and how machine explainability includes machine ethics. We develop these two facets using examples from the scenarios above. Based on these examples, we argue for a specific view of machine ethics and suggest how it can be formalized in a theoretical framework. In terms of machine explainability, we will outline how our proposed framework, by using an argumentation-based approach for decision making, can provide a foundation for machine explanations. Beyond the framework, we will also clarify the notion of machine explainability as a research area, charting its diverse and often confusing literature. To this end, we will outline what, exactly, machine explainability research aims to accomplish. Finally, we will use all these considerations as a starting point for developing evaluation criteria for good explanations, such as comprehensibility, assessability, and fidelity. Evaluating our framework using these criteria shows that it is a promising approach and augurs to outperform many other explainability approaches that have been developed so far.DFG: CRC 248: Center for Perspicuous Computing; VolkswagenStiftung: Explainable Intelligent System

    Programming Languages and Systems

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    This open access book constitutes the proceedings of the 31st European Symposium on Programming, ESOP 2022, which was held during April 5-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 21 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems

    Undergraduate Catalog, 2022-2023

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    https://scholar.valpo.edu/undergradcatalogs/1097/thumbnail.jp

    Undergraduate Catalog, 2021-2022

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    https://scholar.valpo.edu/undergradcatalogs/1096/thumbnail.jp

    Undergraduate Catalog, 2020-2021

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    https://scholar.valpo.edu/undergradcatalogs/1095/thumbnail.jp

    Undergraduate Catalog, 2019-2020

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    https://scholar.valpo.edu/undergradcatalogs/1094/thumbnail.jp

    Undergraduate Catalog, 2018-2019

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    https://scholar.valpo.edu/undergradcatalogs/1051/thumbnail.jp

    The Global Encyclopaedia of Informality, Volume 2

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    Alena Ledeneva invites you on a voyage of discovery to explore society’s open secrets, unwritten rules and know-how practices. Broadly defined as ‘ways of getting things done’, these invisible yet powerful informal practices tend to escape articulation in official discourse. They include emotion-driven exchanges of gifts or favours and tributes for services, interest-driven know-how (from informal welfare to informal employment and entrepreneurship), identity-driven practices of solidarity, and power-driven forms of co-optation and control. The paradox, or not, of the invisibility of these informal practices is their ubiquity. Expertly practised by insiders but often hidden from outsiders, informal practices are, as this book shows, deeply rooted all over the world, yet underestimated in policy. Entries from the five continents presented in this volume are samples of the truly global and ever-growing collection, made possible by a remarkable collaboration of over 200 scholars across disciplines and area studies. By mapping the grey zones, blurred boundaries, types of ambivalence and contexts of complexity, this book creates the first Global Map of Informality. The accompanying database (www.in-formality.com) is searchable by region, keyword or type of practice, so do explore what works, how, where and why

    The use of TRAO to manage evolution risks in e-government

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    The need to develop and provide more efficient ways of providing Electronic Government Services to key stakeholders in government has brought about varying degrees of evolution in government. This evolution is seen in different ways like the merging of government departments, the merging of assets or its components with legacy assets etc. This has involved the incorporation of several practices that are geared towards the elimination of processes that are repetitive and manual while attempting to progressively encourage the interaction that exists between the different stakeholders. However, some of these practices have further complicated processes in government thus creating avenues for vulnerabilities which if exploited expose government and government assets to risks and threats. Focusing on ways to manage the issues accompanied with evolution can better prepare governments for manging the associated vulnerabilities, risks and threats. The basis of a conceptual framework is provided to establish the relationships that exist between the E-Government, asset and security domains. Thus, this thesis presents a design research project used in the management of evolution-related risks. The first part of the project focusses on the development of a generic ontology known as TRAO and a scenario ontology TRAOSc made up of different hypothetical scenarios. The resulting efficiency of the development of these ontologies have facilitated the development of an intelligent tool TRAOSearch that supports high-level semantically enriched queries. Results from the use of a case study prove that there are existing evolution-related issues which governments may not be fully prepared for. Furthermore, an ontological approach in the management of evolution-related risks showed that government stakeholders were interested in the use of intelligent processes that could improve government effectiveness while analysing the risks associated with doing this. Of more importance to this research was the ability to make inferences from the ontology on existing complex relationships that exist in the form of dependencies and interdependencies between Stakeholders and Assets. Thus, this thesis presents contributions in the aspect of advancing stakeholders understanding on the types of relationships that exist in government and the effect these relationships may have on service provisioning. Another novel contribution can be seen in the correction of the ambiguity associated with the terms Service, IT Service and E-Government. Furthermore, the feedback obtained from the use of an ontology-based tool during the evaluation phase of the project provides insights on whether governments must always be at par with technological evolution
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