Essays about: "DEI"

Showing result 1 - 5 of 43 essays containing the word DEI.

  1. 1. Is this unit created in the image of God? : Artificial intelligence and Lutheran anthropology

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Erik Ahlberg; [2024]
    Keywords : Lutheran; artificial intelligence; artificial general intelligence; imago Dei; imago Diaboli; original sin;

    Abstract : In this study, the potential for artificially intelligent sapient life to be integrated into a Lutheran theological anthropology is investigated. The investigation is done via the means of a reconstruction and reactualisation of Lutheran anthropology, applied to the hypothetical scenario of artificial general intelligences having been created. READ MORE

  3. 2. Is this unit created in the image of God? : Artificial intelligence and Lutheran anthropology

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Erik Ahlberg; [2024]
    Keywords : Lutheran; artificial intelligence; artificial general intelligence; imago Dei; imago Diaboli; original sin;

    Abstract : In this study, the potential for artificially intelligent sapient life to be integrated into a Lutheran theological anthropology is investigated. The investigation is done via the means of a reconstruction and reactualisation of Lutheran anthropology, applied to the hypothetical scenario of artificial general intelligences having been created. READ MORE

  4. 3. Unveiling Socioeconomic Disparities in Finnish ICT Sector Sustainability Reporting : A Thematic Analysis of the Digital Divide in Sustainable Development Discourse

    University essay from Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)

    Author : Maria Frostbark; [2023]
    Keywords : sustainable development; digital divide; corporate responsibility; information and communication technology;

    Abstract : This research analyzes Finnish information and communication technology companies' sustainability principles with an emphasis on themes related to social sustainability. A broader focus is given to researching how class, education level, and low-income-related perspectives have been taken into account. READ MORE

  5. 4. The Impact of Corporate Social Responsibility DiversityEquity and Inclusion efforts on Brand Image

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Omar Khalafallah; Semhar Weldesylasie; [2023]
    Keywords : CSR; corporate social responsibility; diversity; equity and inclusion; trust; commitment; brand image;

    Abstract : Abstract Date:                         2023-05-30 Level:                        Master Thesis in Business Administration, 15 HP Institution:                School of Business, Society and Engineering, Mälardalen University  Authors:                    Omar Khalafallah, Semhar Weldesylasie  Title:                          The Impact of Corporate Social Responsibility Diversity Equity and Inclusion efforts on Brand Image. Supervisor:                Rana Mostaghel Keywords:                  CSR, corporate social responsibility, diversity, equity and inclusion, trust, commitment, brand image. READ MORE

  6. 5. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE