Exploring Responsible AI and Applying Existing Frameworks [Application within Your Personal Interest]

Key Info

Basic Information

Lehrstuhl für Innovation, Strategie und Organisation


Project Overview:
In this Master's Thesis project, you will have the opportunity to conduct an in-depth exploration of Responsible AI and its application within the context of existing frameworks. The project encompasses the following key components:

-Systematic Literature Analysis and Framework Compilation: You will undertake a comprehensive review of existing Responsible AI frameworks, synthesizing their core principles, methodologies, and approaches. This stage will provide you with a solid foundation to understand the landscape of Responsible AI.

-Selection of Appropriate Frameworks for a Self-Chosen Use Case: Based on your analysis, you will choose a set of frameworks that align with your self-selected use case. This step involves a critical assessment of how these frameworks could be effectively integrated into real-world applications.

-Critical Evaluation of Pros, Cons, Opportunities, and Risks: As you apply the chosen Responsible AI frameworks to your selected use case, you will critically evaluate the potential advantages, drawbacks, as well as the opportunities and risks associated with their implementation.

-Personalized Use Case Selection: This project encourages you to choose a use case that resonates with your personal interests and background. This ensures that your research is driven by your passion and curiosity.

Timeline and Language:
Timeframe: The project will be conducted during the Winter Semester 2023/24, with the submission of the final thesis expected within the calendar year 2024.
Language: You have the flexibility to conduct the project and write your thesis in either German or English, based on your language preference.

In addition to your email expressing interest, kindly forward your CV and a current transcript of your grades via email to:

Keywords: Responsible AI, Artificial Intelligence