Block

Responsible Artificial Intelligence [T-WIWI-111385]

Type

Examination of another type

Credits

4.5

Recurrence

Each winter term

Version

Responsible

Prof. Dr. Christof Weinhardt

Organisation

KIT-Fakultät für Wirtschaftswissenschaften

Part of

Module Data Science: Data-Driven User Modeling | Industrial Engineering and Management (M.Sc.)
Module Incentives, Interactivity & Decisions in Organizations | Industrial Engineering and Management (M.Sc.)
Module Data Science: Data-Driven Information Systems | Industrial Engineering and Management (M.Sc.)
Module Incentives, Interactivity & Decisions in Organizations | Economics Engineering (M.Sc.)
Module Data Science: Data-Driven Information Systems | Economics Engineering (M.Sc.)
Module Incentives, Interactivity & Decisions in Organizations | Digital Economics (M.Sc.)
Module Data Science: Data-Driven Information Systems | Digital Economics (M.Sc.)
Module Data Science: Data-Driven User Modeling | Information Systems (M.Sc.)
Module Incentives, Interactivity & Decisions in Organizations | Information Systems (M.Sc.)
Module Data Science: Data-Driven Information Systems | Information Systems (M.Sc.)
Module Data Science: Data-Driven User Modeling | Information Engineering and Management (M.Sc.)
Module Incentives, Interactivity & Decisions in Organizations | Information Engineering and Management (M.Sc.)
Module Data Science: Data-Driven Information Systems | Information Engineering and Management (M.Sc.)

Events

Course Number	Name	SWS	Type
WS21 2545164	Responsible Artificial Intelligence	2	lecture (V)
WS22 2545164	Responsible Artificial Intelligence	2	lecture (V)
WS23 2545164	Responsible Artificial Intelligence	2	lecture (V)
WS23 2545165	Responsible Artificial Intelligence	1	exercise (Ü)

Exams

Course Number	Name	Appointments
WS22 7900301	Responsible Artificial Intelligence
WS22 7900301	Responsible Artificial Intelligence	28.04.2022 - 04:00
WS22 7900301	Responsible Artificial Intelligence
WS22 7900301	Responsible Artificial Intelligence	03.03.2022 - 09:00
WS22 7900301	Responsible Artificial Intelligence

Competence Certificate

The final grade is based on an examination of other type according to § 4 Par. 2 No. 3. It consists of

The completion of an exercise including a short presentation (15 min)(max. 30 points)
The completion of a case study including an oral exam (max. 60 points).

Further details are explained during the lecture.

Prerequisites

Prior to the start of the lecture, introductory materials will be provided for self-study. The lecture has a limitation of participants. Therefore, prior registration via the Wiwi-Portal is mandatory.