4,481 research outputs found

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) 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 – 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 Católica 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

    Strategies for Mitigating the Costs of Evolving U.S. Governmental Regulations in the Financial Investment Industry

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    Financial investment leaders who lack strategies to respond to U.S. government financial policy changes’ risk decreasing organizational profitability resulting in customer and employee attrition. Grounded in Porter’s theory of competitive advantage, Barney’s resource-based view (RBV) theory and Pigou’s public interest theory, the purpose of this qualitative multicase study was to explore strategies financial investment leaders use to respond to U.S. governmental policy changes. The participants comprised three financial investment leaders at three Jacksonville, Florida organizations. Data were collected using semistructured interviews conducted face to face and by telephone along with documents obtained from the company websites. Through thematic analysis four themes emerged: computer technology improvements, outsourcing of functions, an enhanced specialization of client selection, and financial literacy training. A key recommendation is for financial investment leaders to invest in computer technology to expand client access to resources while remaining in governmental compliance. The implications for positive social change include the potential to generate cost savings that can be used to promote macroeconomic stability through financial literacy training, which can benefit clients, families, and local communities through better investing

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Understanding U.S. Customers\u27 Intention to Adopt Robo-Advisor Technology

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    Finance and information technology scholars wrote that there is a literature gap on what factors drive investors in Western financial markets to use a Robo-advisor to manage their investments. The purpose of this qualitative, single case study with embedded units is to understand the adoption intentions of retail investors in U.S. markets to use a Robo-advisor instead of a human advisor. A single case study design addressed the literature gap, and qualitative data from seven semi=structured interviews, reflective field notes, and archival data were triangulated to answer the research question. This study was grounded in a theoretical framework that includes the theory of planned behavior, the technology acceptance model, the unified theory of acceptance, and the use of technology. Thematic analysis revealed nine themes of the study: a) awareness of Robo-advisory systems, (b) perceptions of risk connected to customer’s financial literacy, (c) data security risk lowers acceptance of Robo-advisor technology, (d) Robo-advisor is filtering out emotional customer biases, (e) customer ambivalence on Robo-advisor capabilities, (f) perceived ease of use, (g) trust in the Robo-advisor, (h) customer ambivalence on adoption intention, and (i) low adoption intention for customers with low financial literacy. This study’s results indicated that financial institutions must still earn customers’ trust by protecting their data through secure platforms and processes and customizing Robo advisor services, products, and offers, to their needs. By further understanding retail investors’ adoption intentions in using a Robo-advisor, this study’s results may drive positive social change by offering pathways to very low-cost, automated financial management advice to a broader segment of new and intermediate investors

    An application of Lewin in a trans-pandemic world: a narrative inquiry in a case study with a suggested model for the future

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    Change is constant in today’s post-pandemic world. This is truly evident in online business success with entrepreneurs that defy past limitations and rely on future vision. This study purposely attempts to identify and qualify the impact of stylized change focused leadership in response to workplace changes during the variant challenges of the corona virus pandemic. The relevancy of Lewin’s organizational change model in today’s new normal provides the foundation for this research. Data were gathered through interview with a purposive sample of 12 managers executives and team members from a public sector organization. Evolving through an iterative process of evaluation and conscious of risk bias in measurement, triangulation methods included a literature review and intensive analyses off the interview responses, participation notes and company records. Data were analyzed using thematic analysis to find information supporting participants’ perceptions. The themes were derived from coding and the number of references coded during the data analysis. Six themes emerged representing leaders’ action for implementation of corporate change strategies. The themes have been divided into three catagories: defrost former learning, movement to change and solidification of new directions in corporate change. Results can help global organization leadership navigate ongoing change in a volatile world

    University bulletin 2023-2024

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    This catalog for the University of South Carolina at Beaufort lists information about the college, the academic calendar, admission policies, degree programs, faculty and course descriptions

    Cognitive Machine Individualism in a Symbiotic Cybersecurity Policy Framework for the Preservation of Internet of Things Integrity: A Quantitative Study

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    This quantitative study examined the complex nature of modern cyber threats to propose the establishment of cyber as an interdisciplinary field of public policy initiated through the creation of a symbiotic cybersecurity policy framework. For the public good (and maintaining ideological balance), there must be recognition that public policies are at a transition point where the digital public square is a tangible reality that is more than a collection of technological widgets. The academic contribution of this research project is the fusion of humanistic principles with Internet of Things (IoT) technologies that alters our perception of the machine from an instrument of human engineering into a thinking peer to elevate cyber from technical esoterism into an interdisciplinary field of public policy. The contribution to the US national cybersecurity policy body of knowledge is a unified policy framework (manifested in the symbiotic cybersecurity policy triad) that could transform cybersecurity policies from network-based to entity-based. A correlation archival data design was used with the frequency of malicious software attacks as the dependent variable and diversity of intrusion techniques as the independent variable for RQ1. For RQ2, the frequency of detection events was the dependent variable and diversity of intrusion techniques was the independent variable. Self-determination Theory is the theoretical framework as the cognitive machine can recognize, self-endorse, and maintain its own identity based on a sense of self-motivation that is progressively shaped by the machine’s ability to learn. The transformation of cyber policies from technical esoterism into an interdisciplinary field of public policy starts with the recognition that the cognitive machine is an independent consumer of, advisor into, and influenced by public policy theories, philosophical constructs, and societal initiatives

    The regulation of digital platforms: the case of pagoPA

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    How can EU regulation affect innovation. Digital revolution: How big data have changed the world and the legal landscape. The regulation of digital platforms in Europe. Digital revolution: How distributed ledger technologies are changing the world and the legal landscape. Regulation of digital payments: the case of pagopa
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