Essays about: "Explainable artificial intelligence XAI"

Showing result 11 - 15 of 25 essays containing the words Explainable artificial intelligence XAI.

  1. 11. Explainability Methods for Transformer-based Artificial Neural Networks: : a Comparative Analysis

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

    Author : Eliott Remmer; [2022]
    Keywords : XAI; NLP; Transformers; BERT; explainable predictions; SHAP; Attention; XAI; NLP; Transformers; BERT; förklarbara förutsägelser; SHAP; Attention;

    Abstract : The increasing complexity of Artificial Intelligence (AI) models is accompanied by an increase in difficulty in interpreting model predictions. This thesis work provides insights and understanding of the differences and similarities between explainability methods for AI models. READ MORE

  3. 12. Visual mapping in AI interfaces: to establish trust in explainable AI in mammography

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Ebba Bergström; [2022]
    Keywords : Information design; Visual communication; Artificial intelligence; Mammography;

    Abstract : Artificial intelligence (AI) is a broad topic that many researchers and stakeholders want to implement into their daily tasks. There are expectations to implement AI in hospitals, starting with mammography centers. But there is a need to guarantee that it will be efficient and safe to use, and that requires a lot of research. READ MORE

  4. 13. Explainable AI for supporting operators in manufacturing machines maintenance : Evaluating different techniques of explainable AI for a machine learning model that can be used in a manufacturing environment

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

    Author : Francesco Di Flumeri; [2022]
    Keywords : Explainable Artificial Intelligence XAIs; Machine Learning MLs; User Perspective; Features; User Study;

    Abstract : Monitoring and predicting machine breakdowns are of vital importance in the manufacturing industry. Machine Learning models could be used to improve these breakdown predictions. However, the operators responsible for the machines need to trust and understand the predictions in order to base their decisions on the information. READ MORE

  5. 14. Explainable AI For Predictive Maintenance

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Nellie Karlsson; My Bengtsson; [2022]
    Keywords : Predictive Maintenance; Artificial Intelligence; AI; Explainable Artificial Intelligence; XAI; Integrated Gradients; LIME; SHAP; Deep Learning; Machine Learning; Recurrent Neural Network; RNN; Long Short-term Memory; LSTM; GRU; Multilayer Perceptron; MLP;

    Abstract : As the complexity of deep learning model increases, the transparency of the systems does the opposite. It may be hard to understand the predictions a deep learning model makes, but even harder to understand why these predictions are made. READ MORE

  6. 15. Explainable Artificial Intelligence for Radio Resource Management Systems : A diverse feature importance approach

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

    Author : Alexandru-Daniel Marcu; [2022]
    Keywords : Explainable artificial intelligence XAI ; Explainability pipeline; Feature importance; Kernel SHAP; CERTIFAI; Anchors; XAI in wireless systems; XAI for radio resource management; Förklarande artificiell intelligens XAI ; Förklarande pipeline; Prediktor betydelse; Kernel SHAP; CERTIFAI; Anchors; XAI i trådlösa system; XAI för radioresurshantering;

    Abstract : The field of wireless communications is arguably one of the most rapidly developing technological fields. Therefore, with each new advancement in this field, the complexity of wireless systems can grow significantly. READ MORE