Sökning: "algorithmic decision-making"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden algorithmic decision-making.

1. 1. 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

3. 2. Towards Bias-Free AI-Supported Decision-Making: Exploring Organisational and Technology Characteristics for Algorithmic Bias Mitigation

   Magister-uppsats, Lunds universitet/Institutionen för informatik

   Författare :David Lohyna; Anna Pico Oristrell; [2023]
   Nyckelord :Algorithmic Bias; AI-Supported Decision-Making; Organisational Characteristics; Technology Characteristics; Business and Economics;

   Sammanfattning : With the growing adoption of data analytics and powerful algorithms in organisational decision-making, the ethical concerns surrounding algorithmic bias have become increasingly apparent. This research aims to explore the extent to which organisational characteristics (e.g., laws, policies, norms, and standards) and technology characteristics (e. LÄS MER

4. 3. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

   Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Isaac Arnold McSey; [2023]
   Nyckelord :Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

   Sammanfattning : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. LÄS MER

5. 4. How does algorithmic literacy challenge the utilisation of TikTok for global marketers, taking into account ethical concerns?

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Phuong Vo Hoang Hoai; Natalie Klimecka; [2023]
   Nyckelord :TikTok algorithm; Algorithmic literacy; Social media marketing; Personalisation; Marketing ethics; Ethical decision-making; Business and Economics;

   Sammanfattning : Thesis purpose: To investigate the role of algorithmic literacy in the case of TikTok, and how its strategic performance, including the challenges and associated ethical issues, affects global marketers. Methodology: Adapting a social constructivist approach, twelve qualitative semi-structured interviews with global marketers allowed us to gather deeper insights Theoretical perspective: In order to fulfill the above objective, the study looks at literature streams in social media algorithms and algorithmic literacy, as well as adopts scholarship in marketing ethics and socio-psychological concepts concerning consumer behaviour and decision making processes. LÄS MER

7. 5. “Big brother sees you” : A qualitative study on users’ experiences with targeted advertising on Facebook

   Kandidat-uppsats, Karlstads universitet/Institutionen för geografi, medier och kommunikation (from 2013)

   Författare :Marwa Ali; Mikaela Hollgren; [2022]
   Nyckelord :Targeted advertising; privacy; Facebook; big brother effect; panopticon; Riktad reklam; integritet; Facebook; big brother effekten; panopticon;

   Sammanfattning : As a consequence of the exposure of scandals involving targeted advertising and data collection, privacy concerns have arisen among users of social media, in particular Facebook. Previous research studies demonstrate that consumers have little knowledge about online behavioural advertising and hold misconceptions about it. LÄS MER