HENB01481U English - Elective Subject, topic 1: Ethics in AI - Navigating Fairness, Biases, and Transparency Challenges in the Humanities
Engelsk
This course introduces students to artificial intelligence applications, with particular attention to the use of AI systems in the humanities. This will include the use of AI in teaching and learning contexts (for text production, translation, language learning, and foreign language acquisition) as well as real-world use cases in society. The students are introduced to how generative AI systems work followed by an overview of the various ethical, social, legal and political issues around AI from various perspectives and its use in humanities-oriented environments. This will be the basis for students to begin working with ethical frameworks to analyse the implications of AI in society.
Students will analyse and discuss different systems and case studies in which AI is employed, for example sociolinguistic inclusion, text-to-speech AI tools for dyslexia, language learning tools, and professional translation technologies. Important ethical issues concerning AI use in areas within the humanities will be presented and critically discussed in class. These include algorithmic bias, hallucinations, fair and sustainable AI, data security and privacy issues related to training data, and the ways in which AI systems are integrated into educational (e.g. chatbots as tutors/mentors/assistants) and wider social systems (translation systems used in public settings).
Students who complete this course will have the skills and competencies to understand how AI systems work and to interact with generative AI tools, as well as critically evaluate the ethical use of generative AI in various contexts related to their educational profile.
TBA
During this course, students will be expected to use and interact with a selection of generative AI tools to create content for in-class tasks and assignments, and to reflect critically on the content created, while respecting diverse perspectives and concerns regarding AI technology.
- Category
- Hours
- Class Instruction
- 84
- Preparation
- 325,5
- Total
- 409,5
Sign up for international students:
Proof of English proficiency is required if you want to take
this course. Find the requirements here:
https://studies.ku.dk/study-abroad/exchange/course-information/proof-of-english-proficiency/
Exchange students:apply for courses in Mobility Online. Questions regarding course registration should be directed to visitingstudents@hum.ku.dk .
International fee-paying guest students:visithttps://humanities.ku.dk/education/guest/on how to sign up for courses.
- Credit
- 15 ECTS
- Type of assessment
- Other
Criteria for exam assesment
Course information
- Language
- English
- Course code
- HENB01481U
- Credit
- 15 ECTS
- Level
- Bachelor
- Duration
- 1 semester
- Placement
- Spring
- Schedule
- See link to schedule
- Course capacity
- 35
If there are more registrations than places, the places are allocated by random draw.
Study board
- Study board of English, Germanic and Romance Studies
Contracting department
- Department of English, Germanic and Romance Studies
Contracting faculty
- Faculty of Humanities
Course Coordinators
- Marian Flanagan (14-7a6e7f766e7b73796e7b6e746e7b4d75827a3b78823b7178)
- Anna Bothe Jespersen (3-63646c426a776f306d7730666d)