Scalable and Responsible AI in Organizations
The overall goal of the course is to provide the student with knowledge and tools for reasoning about responsible AI in an organisational context.
The course deals with ethical aspects of responsible AI from both designer’s and user’s perspectives. The course also deals with privacy issues as well as strategies and privacy preservation mechanisms for complying with legal regulations. Another important topic is to identify and manage bias in algorithms and data.
The course also covers the use of AI in an organisational context, which includes identifying and addressing challenges when implementing AI in an organisation. To successfully implement AI in organisations, process support is required for identification of suitable application areas, design and implementation of scalable solutions, but also for deployment, continuous monitoring and maintenance of, for example, machine learning models.
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Course structure
The language of instruction is English.
Teaching format
The teaching activities consist of lectures and supervised exercises.
Assessment
The course is examined through a written examination and assignments.
Examiner
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
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Contact
This course is part of a programme or course package and is not available for application as a stand-alone course.
Find more information about Master’s programmes here
Study counsellors - master
- Visiting address
Nod Buildning, Borgarfjordsgatan 12, Kista
- Office hours
Please contact us via email if you want to book a meeting. We are available on Campus in Kista and via Zoom.
- Phone hours
Thursday 12.30–2 pm
- Irregular office hours
Last phone hours of autumn semester 2024: 12 December
First phone hours of spring semester 2025: 9 January
