Master Practicum: Ethically Implementing and Practicing Inverse Transparency – A new form of data privacy (IN2106, IN4277)
Lehrveranstaltung 0000004570 im SS 2020
Basisdaten
| LV-Art | Praktikum |
|---|---|
| Umfang | 6 SWS |
| betreuende Organisation | Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner) |
| Dozent(inn)en |
Severin Kacianka Valentin Zieglmeier Leitung/Koordination: Alexander Pretschner |
| Termine |
Di, 13:00–15:00, virtuell |
Zuordnung zu Modulen
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IN2106: Master-Praktikum / Advanced Practical Course
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weitere Informationen
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| ergänzende Hinweise | This practical course puts you in the role of a software engineer in a team that starts to practice Inverse Transparency principles. You start your semester by developing analysis software and generating usage data. We will use this time to improve your software development and teamwork skills. During development, you will ethically deliberate your design and implementation choices. You will have to decide which analyses are meaningful, which might not be sensible, and which should definitely not be used. In the second half, you will utilize the generated data of your peers for analyses. You will assume the role of a software team lead who needs to judge their employees. Again, you will have the opportunity to discuss, which analyses you want or do not want to use for this task. This allows you to experience both sides of the data usage relationship. What is Inverse Transparency? ======================= Employers have significant control over the data of their employees. To protect employees, the workers' councils often completely forbid usage of individual-related data by employers. This is not a perfect solution though. On the one hand, nobody can truly verify that managers adhere to this (more often than not, they probably don't). On the other hand, interesting data usages might be prevented, even if employees are in principle okay with it. Inverse Transparency is a concept that we think can help overcome these hurdles. It is based on a simple principle: All data is accessible, but all data access is transparent and visible to the data owners. This makes misusage unattractive, as it can be retraced. Valuable and interesting data usages on the other hand are enabled in a transparent way. |
|---|---|
| Links |
E-Learning-Kurs (z. B. Moodle) Aktuelle Informationen TUMonline-Eintrag |
Gleiche Lehrveranstaltungen (z. B. in anderen Semestern)
| Semester | Titel | Dozent(en) | Termine |
|---|---|---|---|
| SS 2021 | Master Practikum: Implementing and Practicing Inverse Transparency – A new form of data privacy (IN2106, IN4277) |
Schmidt, T.
Zieglmeier, V.
Leitung/Koordination: Pretschner, A. |
Mi, 13:00–15:00, virtuell sowie einzelne oder verschobene Termine |