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#50807 / #1

WS 2018/19 - WS 2019/20

English

Robotics and AI: ethical and social challenges

6

Ammon, Sabine

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät V

Institut für Werkzeugmaschinen und Fabrikbetrieb

35362000 FG Wissensdynamik und Nachhaltigkeit in den Technikwissenschaften

Maschinenbau

Kontakt


PTZ 10

Lhuillier-Kühnelt, Marine Maude

m.lhuillier-kuehnelt[at]tu-berlin.de

Learning Outcomes

With the successful completion of the module students aquire Knowledge: - Overview of core arguments of the public domain and academia on ethical and social aspects of robotics and AI with regard to their different fields of application - Basic knowledge about the cultural history of robotics and AI - Basic knowledge about Technology Assessment (TA) and Responsible Research and Innovation (RRI) Skills: - Analysis of arguments in research papers and presentation of the analysis - Application of methods of TA/RRI on a case study - Stakeholder Analysis - Solution-generation on the basis of a problem diagnosis - Draft and presentation of a research poster - Writing a report Competences: - Dealing with complex problems in the field of TA/RRI as a preparation for project work later on - Process design of interdisciplinary teamwork - Solution-oriented problem-solving - Training reflection (critical analysis, balancing arguments, development of a well-foundet point of view) - Training text interpretation and analysis of arguments

Content

- Analysis of the public discourse - Analysis of selected examples of Science Fiction (movies, literature) with regard to their ethical and social vision - Positions of robo ethics/ ethics of AI - Positions of TA/RRI - Working on a case study (choosing a topic, literature research, application of arguments from ethics of technology, application of TA/RRI methods, evaluation, documentation of the results) - Presentation of results with a research poster - Editing the results in a report

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Ethical and Social Challenges of Emerging Technologies: Automation, Robotics, AIPJ3536 L 1000WiSeEnglish4

Workload and Credit Points

Ethical and Social Challenges of Emerging Technologies: Automation, Robotics, AI (PJ):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Pre/post processing15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Project. For details see § 35 AllgStuPO Presentations, excercises in TA/RRI, group discussions, self-contained teamwork, mentoring of the teams.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

English language proficiency

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
Text presentation and handout20flexiblePresentation (15 min.); handout (1 page)
Research poster and presentation30flexiblegroup presentation (20 min.); group discussion (20 min.)
Report50written5-6 pages

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

Portfolio Examination.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Please enrol in the modul with the electronic registration system.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
A reader will be made available at the beginning of the semester.

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information