Sökning: "algorithmic knowledge"

Visar resultat 1 - 5 av 32 uppsatser innehållade orden algorithmic knowledge.

1. 1. Scrollande hjärnor, kalkylerade annonser: en studie om konsumenters attityder till algoritmisk marknadsföring i sociala medier och dess bakomliggande faktorer

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Arvid Barregren; Louise Bergendahl; [2023-11-07]
   Nyckelord :algorithms; digital marketing; social media; TAM; attitudes; knowledge; relevance; integrity; trust;

   Sammanfattning : Existing literature argues that with the commercialisation of the Internet, marketing has moved from a physical activity to a fluid and digital one. Over time, social media has become a central and important channel for reaching consumers, which has fundamentally changed the way marketing is conducted today. LÄS MER

3. 2. 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

4. 3. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

   Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

   Författare :Erik Everett Palm; [2023]
   Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

   Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

5. 4. 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

7. 5. A designer-driven approach to procedural generation tools for level design

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Max Truedsson; [2023]
   Nyckelord :Master Thesis; Game development; Game Design; Procedural generation; PCG; Level creation; Art Tool; 3d Environment design; Master Examensarbete; Spelutveckling; Speldesign; Procedurell generering; PCG; Spelbana Konstruktion; Konst verktyg; 3d miljö design;

   Sammanfattning : Game development is a multifaceted field that involves both traditional software practices and creative work. It is characterized by its iterative and time-consuming process where prototypes are created and then evaluated. This is especially true for creating 3D environments, where it is difficult to evaluate the quality before it is completed. LÄS MER