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Visar resultat 1 - 5 av 34 uppsatser som matchar ovanstående sökkriterier.
1. Explainable AI for Multi-Agent Control Problem
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. LÄS MER
2. Privacy-preserving Authentication in Participatory Sensing Systems : An attribute based authentication solution with sensor requirement enforcement.
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Participatory Sensing Systems (PSS) are a type of Mobile Crowdsensing System where users voluntarily participate in contributing information. Task initiators create tasks, targeting specific data that needs to be gathered by the users’ device sensors. LÄS MER
3. AI inom revision : En kvalitativ studie om användning av AI i revisionsprocessen hos svenska revisionsbyråer
Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : Användning av AI i revisionsprocessen har påvisats påverka kvaliteten på revisionen, positivt i de fall en senior revisor har använt det som ett komplement, och negativt i de fall en junior har använt det med för stor tillit till dess förmåga. AI är ett snabbt föränderligt område och därmed fortsatt relevant att undersöka. LÄS MER
4. Users Attitudes on Changing Anonymity on Social Media
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Anonymity on social media is a complex topic that has garnered attention from politicians and legislators alike. However, the opinions of end users on this matter have not been given due consideration. LÄS MER
5. Capabilities and Processes to Mitigate Risks Associated with Machine Learning in Credit Scoring Systems : A Case Study at a Financial Technology Firm
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Artificial intelligence and machine learning has become an important part of society and today businesses compete in a new digital environment. However, scholars and regulators are concerned with these technologies' societal impact as their use does not come without risks, such as those stemming from transparency and accountability issues. LÄS MER