397 research outputs found

    “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

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    Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts

    2023-2024 Catalog

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    The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation

    Artificial Intelligence and International Conflict in Cyberspace

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    This edited volume explores how artificial intelligence (AI) is transforming international conflict in cyberspace. Over the past three decades, cyberspace developed into a crucial frontier and issue of international conflict. However, scholarly work on the relationship between AI and conflict in cyberspace has been produced along somewhat rigid disciplinary boundaries and an even more rigid sociotechnical divide – wherein technical and social scholarship are seldomly brought into a conversation. This is the first volume to address these themes through a comprehensive and cross-disciplinary approach. With the intent of exploring the question ‘what is at stake with the use of automation in international conflict in cyberspace through AI?’, the chapters in the volume focus on three broad themes, namely: (1) technical and operational, (2) strategic and geopolitical and (3) normative and legal. These also constitute the three parts in which the chapters of this volume are organised, although these thematic sections should not be considered as an analytical or a disciplinary demarcation

    Digital agriculture: research, development and innovation in production chains.

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    Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil

    Strategic Leadership for Managing Diversity

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    The changing workforce in organizations worldwide, including those in Africa, makes managing diversity a critical issue that must be a part of any organizational business strategy. This qualitative case study explored the success and failure of leadership strategies in managing diversity in organizations in the West African region and the adverse effects globalization, and ethnocentrism might have in managing diversity in the workplace. This study took place in Africa, and 15 participants from this West African organization participated in interviews and surveys. The data collection yielded themes the participants in the study thought could improve leaders\u27 capabilities in managing a diverse workforce. A thematic analysis of the interviews, survey respondents\u27 data, and organizational documents identified challenges and opportunities to achieve diverse workforce organizational goals. Among these challenges is implementing policies to advance an organization\u27s diversity, equity, and inclusion efforts to address the possible failure to create a leadership strategy for managing diversity within the Western African technology industry, resulting in decreased workers’ job satisfaction, retention, organizational success, and representation of women and minorities in senior leadership positions. This research paradigm used a constructive and transformative framework to study the named organization in which diversity in the workplace has become a reality because of the global business environment. The data coding and analysis used NVivo, and the survey questionnaires were analyzed using SPSS descriptive statistical analysis capabilities

    Undergraduate and Graduate Course Descriptions, 2023 Spring

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    Wright State University undergraduate and graduate course descriptions from Spring 2023

    A Generic Approach for the Automated Notarization of Cloud Configurations Using Blockchain-Based Trust.

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    Debido a su escalabilidad, las aplicaciones en la nube tienen una importante ventaja de costes para las empresas. En consecuencia, las empresas quieren tanto externalizar sus datos como obtener servicios de la nube. Sin embargo, dado que la mayoría de las empresas tienen políticas internas y requisitos de cumplimiento para operar y utilizar aplicaciones de software, el uso de aplicaciones en la nube crea un nuevo desafío para las empresas. La inclusión de aplicaciones en la nube equivale a la subcontratación de servicios en el sentido de que las empresas deben confiar en que el proveedor de aplicaciones en la nube aplicará los requisitos de cumplimiento interno en las aplicaciones adoptadas. La investigación ha demostrado que la confianza y el riesgo están estrechamente relacionados y son factores clave que influyen en la utilización de aplicaciones en la nube. Esta tesis pretende desarrollar una arquitectura en la nube que aborde este reto, trasladando la confianza en las configuraciones de cumplimiento del proveedor de aplicaciones en la nube a la cadena de bloques. Así, este trabajo pretende reducir el riesgo de adopción de las aplicaciones en la nube debido a los requisitos de cumplimiento. En esta tesis, la investigación de la ciencia del diseño se utiliza para crear la arquitectura para trasladar la confianza mencionada a la cadena de bloques. Un grupo de discusión determinó el alcance del trabajo. La base de conocimientos de este trabajo se construyó utilizando inteligencia artificial y una revisión sistemática de la literatura, y la arquitectura presentada se desarrolló y prototipó utilizando el método de desarrollo rápido de aplicaciones. Se utilizaron entrevistas guiadas semiestructuradas de método mixto para evaluar el enfoque de la arquitectura presentada y valorar las cualidades de reducción del riesgo de adopción. La tesis demostró que la arquitectura de software desarrollada podía trasladar la confianza del proveedor de la nube a la cadena de bloques. La evaluación de la arquitectura de software propuesta demostró además que el riesgo de adopción debido a las configuraciones de la nube basadas en el cumplimiento podía reducirse de "alto" a "bajo" utilizando la tecnología blockchain. Esta tesis presenta una arquitectura que desplaza la confianza para la implementación de configuraciones basadas en el cumplimiento de la normativa desde el proveedor de la nube a la cadena de bloques. Además, muestra que el cambio de confianza puede reducir significativamente el riesgo de adopción de las aplicaciones en la nube.Administración y Dirección de Empresa

    Digital agriculture: research, development and innovation in production chains.

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    Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil.Translated by Beverly Victoria Young and Karl Stephan Mokross

    “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

    Get PDF
    Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT's capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT's use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts
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