Essays about: "Machine learning transparency"

Showing result 1 - 5 of 43 essays containing the words Machine learning transparency.

  1. 1. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Veronica Kecki; [2023-02-01]
    Keywords : AI; artificial intelligence; ML; machine learning; algorithms; algorithmic decision-making; fairness; socio-technical design; AI ethics;

    Abstract : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. READ MORE

  3. 2. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Laura Galera Alfaro; [2023]
    Keywords : Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

    Abstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE

  4. 3. The dark side of AI : A systematic literature review

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Emma Corselli; [2023]
    Keywords : AI; decision-making; risks; drawbacks;

    Abstract : The world is currently experiencing an extraordinary explosion of data due to the advancements in digitalization, this has made the decision-making processes become increasingly complex. Modern decision-making incorporates various technologies such as AI, big data, and machine learning and they offer significant advantages in terms of speed, scalability, and granularity. READ MORE

  5. 4. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Shiwei Dong; [2023]
    Keywords : ;

    Abstract : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. READ MORE

  6. 5. A Qualitative Analysis of the Impact of Artificial Intelligence (AI) Adoption (Focusing on Machine Learning (ML)) on the Organizational Capabilities of the Telecom Industry in Sweden and Finland

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Neeraj Verma; [2023]
    Keywords : AI; R D; Industry 4.0; Qualitative Analysis; Innovation; Machine Learning; Business Performance; People and Culture; Process and Organization; Telecom; Technology.;

    Abstract : The German government's "Industry 4.0" paradigm transforms technology application across domains using real-time data and connectivity. The telecom sector's reliance on digital, software-driven infrastructure for real-time data and connectivity is paramount. READ MORE