Master­arbeit

Generative AI & Human Creativity: Hype or Help? 

As tools like ChatGPT and DALL·E enter the workplace, what happens to human creativity? This thesis reviews the emerging literature on how generative AI influences creativity, with a particular focus on employee creativity and downstream outcomes such as innovation. GenAI generally enhances creative performance, accelerating ideation and problem-solving while boosting output quality, but these gains are heterogeneous and context-dependent, varying with task type, domain expertise, and interaction modes. Lower-skilled workers benefit significantly, though risks like idea homogenization, overreliance, and technical unfeasibility persist. Creative success hinges on technological, individual, organizational, and social factors. GenAI is therefore not universally beneficial—its value for reshaping human creativity depends on thoughtful implementation. 

Tackling the Risks and Challenges of AI Integration: Generative AI and the Future of Productivity 

Generative Artificial Intelligence (GenAI) is rapidly trans­forming organizational work, yet empirical evidence on its effects remains fragmented. This thesis systematically reviews the literature on how GenAI affects employee productivity, the risks its use entails, and the factors driving its adoption. GenAI generally enhances productivity, accelerating tasks while maintaining or improving quality, but these gains are heterogeneous and context-dependent, varying with task type, user skill, and workflow integration. Lower-skilled workers benefit most, partially leveling performance gaps. At the same time, risks such as hallucinations, overreliance, deskilling, and data-security concerns persist. Adoption hinges on technological, organizational, individual, and environmental factors. GenAI is therefore not universally beneficial—its value depends on thoughtful implementation.