Managing AI in the Organization
The course covers the use of AI in an organisational context, which includes identifying and addressing challenges when implementing AI in an organisation.
The course covers topics such as:
- Responsible use of AI, AI ethics and alignment of AI (such as large language models) with human values and preferences.
- Ways of identifying and dealing with bias in data and algorithms.
- Privacy and data security issues related to collecting, processing and training AI models using large amounts of data, both from a legal perspective (GDPR, AI Act) and a technical perspective (privacy-preserving techniques, encryption methods).
- Machine learning operations (MLOps) as a framework for operationalising machine learning models in organisations, focusing on key software engineering principles and the construction of machine learning pipelines to streamline the development and deployment of AI solutions.
- Best practices through design patterns for building sustainable machine learning solutions to support long-term AI integration in organisations.
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Course structure
Teaching format
The teaching activities consist of lectures, practical exercises/lessons and supervision.
The language of instruction is English.
Assessment
The course is examined through an on-campus written exam 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 incoming exchange studies 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
No phone hours on Thursday 1 May.
