Sökning: "Machine learning transparency"
Visar resultat 1 - 5 av 47 uppsatser innehållade orden Machine learning transparency.
1. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : 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
2. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER
3. The dark side of AI : A systematic literature review
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : 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
4. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER
5. A Qualitative Analysis of the Impact of Artificial Intelligence (AI) Adoption (Focusing on Machine Learning (ML)) on the Organizational Capabilities of the Telecom Industry in Sweden and Finland
Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : The German government's "Industry 4.0" paradigm transforms technology application across domains using real-time data and connectivity. The telecom sector's reliance on digital, software-driven infrastructure for real-time data and connectivity is paramount. LÄS MER