Essays about: "Explainable artificial intelligence XAI"

Showing result 21 - 25 of 25 essays containing the words Explainable artificial intelligence XAI.

1. 21. Exploring attribution methods explaining atrial fibrillation predictions from sinus ECGs : Attributions in Scale, Time and Frequency

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

   Author : Svante Sörberg; [2021]
   Keywords : Explainable Artificial Intelligence XAI ; Explainability; Paroxysmal Atrial Fibrillation; Feature Attribution; Förklaringsbar Artificiell Intelligens; Förklarbarhet; Paroxysmalt Förmaksflimmer; Särdragsattribution;

   Abstract : Deep Learning models are ubiquitous in machine learning. They offer state-of- the-art performance on tasks ranging from natural language processing to image classification. The drawback of these complex models is their black box nature. It is difficult for the end-user to understand how a model arrives at its prediction from the input. READ MORE

3. 22. Explaining Automated Decisions in Practice : Insights from the Swedish Credit Scoring Industry

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Filip Matz; Yuxiang Luo; [2021]
   Keywords : Explainable Artificial Intelligence; XAI implementation; Automated Decisions; Understandability; Interpretability; Practical Framework; Credit Scoring; Förklarbar artificiell intelligens; XAI implementation; automatiserade beslut; förklarbarhet; praktiskt ramverk; kreditupplysning;

   Abstract : The field of explainable artificial intelligence (XAI) has gained momentum in recent years following the increased use of AI systems across industries leading to bias, discrimination, and data security concerns. Several conceptual frameworks for how to reach AI systems that are fair, transparent, and understandable have been proposed, as well as a number of technical solutions improving some of these aspects in a research context. READ MORE

4. 23. Explainable AI methods for credit card fraud detection : Evaluation of LIME and SHAP through a User Study

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Yingchao Ji; [2021]
   Keywords : Explainable AI; Local Explanations; Shapley Additive Explanations; Local Interpretable Model Agnostic Explanations; Credit Card Fraud Detection;

   Abstract : In the past few years, Artificial Intelligence (AI) has evolved into a powerful tool applied in multi-disciplinary fields to resolve sophisticated problems. As AI becomes more powerful and ubiquitous, oftentimes the AI methods also become opaque, which might lead to trust issues for the users of the AI systems as well as fail to meet the legal requirements of AI transparency. READ MORE

5. 24. Unsupervised Extraction and Clustering of Key Phrases from Scientific Publications

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Xiajing Li; [2020]
   Keywords : ;

   Abstract : Mapping a research domain can be of great significance for understanding and structuring the state-of-art of a research area. Standard techniques for systematically reviewing scientific literature entail extensive selection and intensive reading of manuscripts, a laborious and time consuming process performed by human experts. READ MORE

6. 25. Towards Explainable Decision-making Strategies of Deep Convolutional Neural Networks : An exploration into explainable AI and potential applications within cancer detection

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Tobias Hammarström; [2020]
   Keywords : AI; artificial intelligence; explainable artificial intelligence; convolutional neural networks; deep convolutional neural networks; XAI; explainable AI;

   Abstract : The influence of Artificial Intelligence (AI) on society is increasing, with applications in highly sensitive and complicated areas. Examples include using Deep Convolutional Neural Networks within healthcare for diagnosing cancer. However, the inner workings of such models are often unknown, limiting the much-needed trust in the models. READ MORE