Sökning: "Explainability"

Visar resultat 1 - 5 av 79 uppsatser innehållade ordet Explainability.

  1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Falk DIppel; [2023-10-23]
    Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

    Sammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER

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

    Master-uppsats, Institutionen för tillämpad informationsteknologi

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

    Sammanfattning : 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. LÄS MER

  4. 3. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Robert Iain Salter; [2023]
    Nyckelord :Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Sammanfattning : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. LÄS MER

  5. 4. AI and the Future of IT Recruitment

    Kandidat-uppsats, Lunds universitet/Institutionen för informatik

    Författare :John Arvidsson; Ludvig Eslind; [2023]
    Nyckelord :Artificial Intelligence; Discrimination; Bias; Recruitment; IT.; Business and Economics;

    Sammanfattning : The use of artificial intelligence tools is rapidly increasing. Companies are now looking to use AI for recruitment in order to try to ensure a more fair process. This thesis aims to answer the question “How do recruiters in the Swedish IT sector perceive the effectiveness of AI tools in mitigating bias within the recruitment process?”. LÄS MER

  7. 5. The dark side of AI : A systematic literature review

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Emma Corselli; [2023]
    Nyckelord :AI; decision-making; risks; drawbacks;

    Sammanfattning : 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. LÄS MER