• Towards Interpretable, Trustworthy and Reliable AI 

      Gautam, Srishti (Doctoral thesis; Doktorgradsavhandling, 2024-03-15)
      <p>The field of artificial intelligence recently witnessed remarkable growth, leading to the development of complex deep learning models that perform exceptionally across various domains. However, these developments bring forth critical issues. Deep learning models are vulnerable to inheriting and potentially exacerbating biases present in their training data. Moreover, the complexity of these models ...