Data science and ethics

Relations:

It is not possible to register for the course DD-DSE if the student is concurrently registered for or has already completed the course DA-ESB (mutually exclusive courses).

It is not possible to register for the course DD-DSE if the student is concurrently registered for or has previously completed the course DA-ESB (mutually exclusive courses).

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Software Engineering

Synopsis:

Ethics tell us about right and wrong. The course will provide an overview of key:

(1) concepts, related to privacy, discrimination, transparency, and explainability,

(2) techniques to assess and improve on these aspects, and

(3) cautionary tales that motivate the importance thereof.

The consideration of data science ethics is crucial for any data-driven company, as will be motivated by ample cautionary tales. With a wide range of cases, the large implications of new data science technologies on ethics will be discussed. These include online tracking, medical records, Facebook data, Internet censorship, big data, privacy engineering, and Artificial Intelligence. Data scientists and business managers are not inherently unethical, but at the same time not trained to think this through neither. This course aims to address this important gap.

Students of a master double degree specialisation Digital Business Engineering will attend this course during their stay at the partner university Antwerp

Requirements:

Syllabus of lectures:

Not filled in

Syllabus of tutorials:

Not filled in

Study Objective:

Study materials:

nor filled in

Note:

Further information:

https://www.uantwerpen.be/en/study/programmes/all-programmes/digital-business-engineering/about-the-programme/study-programme/

No time-table has been prepared for this course

The course is a part of the following study plans:

• Master Specialization Digital Business Engineering, 2023 (compulsory elective course)