Sökning: "Explainable artificial intelligence XAI"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Explainable artificial intelligence XAI.

  1. 1. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry

    Master-uppsats, KTH/Hållbar produktionsutveckling (ML)

    Författare :Paul Fussenegger; Niklas Lange; [2022]
    Nyckelord :Lead time; machine learning; explainability; regression analysis; production planning and control; Ledtid; maskininlärning; förklarbarhet; regressionsanalys; produktionsplanering och produktionsstyrning;

    Sammanfattning : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. LÄS MER

  2. 2. What do you mean? : The consequences of different stakeholders’ logics in machine learning and how disciplinary differences should be managed within an organization

    Master-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Nina Eliasson; [2022]
    Nyckelord :Institutional Logics; Multi-Disciplinary Organizations; Explainable Artificial Intelligence XAI;

    Sammanfattning : This research paper identifies the disciplinary differences of stakeholders and its effects on working cross-functional in the context of machine learning. This study specifically focused on 1) how stakeholders with disciplinary differences interpret a search system, and 2) how the multi-disciplines should be managed in an organization. LÄS MER

  3. 3. Interpretable Outlier Detection in Financial Data : Implementation of Isolation Forest and Model-Specific Feature Importance

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Vilhelm Söderström; Kasper Knudsen; [2022]
    Nyckelord :Outlier Detection; Explainable artificial intelligence; XAI; Isolation Forest; MI-Local-DIFFI;

    Sammanfattning : Market manipulation has increased in line with the number of active players in the financialmarkets. The most common methods for monitoring financial markets are rule-based systems,which are limited to previous knowledge of market manipulation. LÄS MER

  4. 4. Increasing the Trustworthiness ofAI-based In-Vehicle IDS usingeXplainable AI

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Hampus Lundberg; [2022]
    Nyckelord :Intrusion Detection System; In-Vehicle Intrusion Detection System; Machine Learning; Deep Learning; Explainable Artificial Intelligence; Trustworthiness.;

    Sammanfattning : An in-vehicle intrusion detection system (IV-IDS) is one of the protection mechanisms used to detect cyber attacks on electric or autonomous vehicles where anomaly-based IDS solution have better potential at detecting the attacks especially zero-day attacks. Generally, the IV-IDS generate false alarms (falsely detecting normal data as attacks) because of the difficulty to differentiate between normal and attack data. LÄS MER

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER