Verantwortung der Informatik – Accountability in AI (2023) (Wintersemester 2023/2024)
Dozent:
Prof. Dr. Andreas Polze
(Betriebssysteme und Middleware)
,
Kordian Gontarska
(Betriebssysteme und Middleware)
,
Weronika Wrazen
(Betriebssysteme und Middleware)
,
Felix Grzelka
Allgemeine Information
- Semesterwochenstunden: 2
- ECTS: 3
- Benotet:
Ja
- Einschreibefrist: 01.10.2023 - 31.10.2023
- Lehrform: Seminar
- Belegungsart: Wahlpflichtmodul
- Lehrsprache: Englisch
- Maximale Teilnehmerzahl: 12
Studiengänge, Modulgruppen & Module
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- Professional Skills
- DASY: Data Systems
- HPI-DASY-K Konzepte und Methoden
- DASY: Data Systems
- HPI-DASY-T Techniken und Werkzeuge
- DASY: Data Systems
- HPI-DASY-S Spezialisierung
- DAPP: Data Applications
- HPI-DAPP-K Konzepte und Werkzeuge
- DAPP: Data Applications
- HPI-DAPP-T Techniken und Werkzeuge
- DAPP: Data Applications
- HPI-DAPP-S Spezialisierung
- Software Systems Engineering
- HPI-SSE-EL Ethics, Law and Compliance
- SSYS: Software Systems
- HPI-SSYS-S Specialization
- DSYS: Data-Driven Systems
- HPI-DSYS-S Specialization
- HDAS: Health Data Security
- HPI-HDAS-C Concepts and Methods
- HDAS: Health Data Security
- HPI-HDAS-T Technologies and Methods
- HDAS: Health Data Security
- HPI-HDAS-S Specialization
- Professional Skills
- HPI-PSK-CO Communication Skills
- Cybersecurity
- HPI-CS-PE Data Protection & Ethics
- Cybersecurity
- HPI-DE-RWM Recht, Wirtschaft, Management
- Professional Skills
Beschreibung
In this seminar, we will talk about the accountability of computer science in the area of artificial intelligence. Each week a student will give a presentation, in which different perspectives of accountability, ethics, fairness, transparency, auditability, explainability, interpretability, and regulation are introduced. After each presentation, a group discussion about the presented topic will take place. The presentation should be based on literature and statements from recognized domain experts, however, it should also include an assessment of the arguments and the opinion of the presenter. Each 45-minute presentation should be single-handedly prepared by a participant using primary- and secondary literature. In preparation for the presentation, each participant will schedule a consultation with the supervisors and email a draft of the slides one week before the date of the presentation.
For more information please visit the course website: https://osm.hpi.de/vdi/2023-2024
Leistungserfassung
To earn 3 ECTS points, students must hand in their slides (including notes) after the presentation. Grading will be based on the quality of the presentation (and notes). Active participation in the weekly discussions is highly encouraged.
Termine
The schedule can be found on the course website: https://osm.hpi.de/vdi/2023-2024
Zurück
