Digitalisering, digital ansvarlighet og KI

Higher Education Entrance Qualification.

For exchange students from NLA’s partner institutions: The students must be studying business administration or a related field of study.

Knowledge

The student

• has knowledge of the digital economy, and the importance of digital services for private and public activities
• has knowledge of what characterizes a digital information system, large language models, and artificial intelligence
• has knowledge of ethical challenges, including privacy, vulnerability and data security

Skills

The student

• can work independently with practical problem solving based on the theories, methods and techniques
• can consider the pros and cons when choosing and using large language models (LLM) and AI for different applications and use-scenarios
• is able to write an assignment that contains both the student's own writing and output from a chatbot (LLM), and explain how the assignment was solved with references to sources and tools.
• can use tools to assess or evaluate risk in a cybersecurity context

General competence

The student

• has the ability to recognize opportunities and challenges related to digitalization in organizations
• can communicate key topics within the subject area by writing a text
• can identify and reflect on ethical issues of relevance to digitalization and use of AI
• can discuss ethical questions, including costs and benefits by using AI-based and other digital applications

Topics:

• The digital community and the digital economy
• Business systems
• Digitalization and digital devices
• Digital business operations
• Development and acquisition of digital solutions
• Operation of digital information systems
• Large Language Models (LLMs)
• AI and digital responsibilities
• Methods and techniques for the realization of organizational gains
• Digital literacy and the value of personal data for businesses and citizens
• Inclusion, universal design and digital exclusion
• Privacy, regulatory issues, data security and vulnerability

The following mandatory learning activities must be approved before students can present themselves for final assessment:

• 80% attendance in class.
• Write an individual course requirement report on AI or a risk scenario, max. 1500 words (except bibliography). The report should include detailed information about the LLM' that has been used.

If a student fails the assignment, the report (max 1500 words), he or she will be given a second opportunity, in the same academic term, to hand in an improved answer for assessment.

Higher Education Entrance Qualification.

For exchange students from NLA’s partner institutions: The students must be studying business administration or a related field of study.

Knowledge

The student

• has knowledge of the digital economy, and the importance of digital services for private and public activities
• has knowledge of what characterizes a digital information system, large language models, and artificial intelligence
• has knowledge of ethical challenges, including privacy, vulnerability and data security

Skills

The student

• can work independently with practical problem solving based on the theories, methods and techniques
• can consider the pros and cons when choosing and using large language models (LLM) and AI for different applications and use-scenarios
• is able to write an assignment that contains both the student's own writing and LLM-text, and explain how the assignment was made with references to sources and tools.
• can use tools to assess or evaluate risk in a cybersecurity context

General competence

The student

• has the ability to recognize opportunities and challenges related to digitalization in organizations
• can communicate key topics within the subject area by writing a text
• can identify and reflect on ethical issues of relevance to digitalization
• can discuss ethical questions, including costs and benefits by using AI-based and other digital applications

• The digital community and the digital economy
• Business systems
• Digitalization and digital devices
• Digital business operations
• Development and acquisition of digital solutions
• Operation of digital information systems
• Large Language Models (LLMs)
• AI and digital responsibilities
• Methods and techniques for the realization of organizational gains
• Digital literacy and the value of personal data for businesses and citizens
• Inclusion, universal design and digital exclusion
• Privacy, data security and vulnerability

The following mandatory learning activities must be approved before students can present themselves for final assessment:

• 80% attendance in class.
• Write an individual course requirement report on AI or a risk scenario, max. 1500 words (except bibliography). The report should include detailed information about the LLM' that has been used.

If a student fails the assignment, the report (max 1500 words), he or she will be given a second opportunity, in the same academic term, to hand in an improved answer for assessment.