MAPD5700 Decoding AI for Design Course description

Artificial Intelligence (AI) has found numerous applications and continues to transform the way we work, consume products and services and how we receive assistance, both positively and negatively. In the field of design, AI holds great potential to enable the creation of highly customised products and services while optimising for accessibility and sustainability. AI is also reshaping the design process itself: repetitive tasks are being automated, the ideation process is being enhanced and tools for generative design and predictive modelling are becoming increasingly common. This course will introduce students to how AI can be leveraged to improve their design processes and develop better, more user-centered products and services.

Language of instruction: English

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

• has a broad understanding of artificial intelligence (AI) and machine learning (ML) and their applications in design processes

• can critically assess the role of AI in augmenting and transforming design practices, including generative design, predictive modelling and user experience personalisation

• can discuss and evaluate the ethical, cultural and societal implications of using AI in design, including biases, inclusivity and accountability

• can apply methods for evaluating and integrating AI tools and systems into the design process, balancing creativity and automation

• can apply relational socio-technological theories to understand implications for use of AI on organisations and users - ‘superminds’

Skills

The student is capable of:

• critically analysing and decoding AI systems to understand their potential and limitations in design contexts

• creating design solutions informed by AI insights, while maintaining a human centered and ethical approach

• experimenting with AI technologies to enhance creativity, ideation and problem solving in design projects

• designing systems, products, or services that leverage AI to address user needs, intelligent human-computer interaction, societal challenges or emerging opportunities

• conceptualising hyper-personalised user-centered AI-based solutions

General Competence The student:

• demonstrates a critical understanding of the opportunities and challenges of integrating AI in design, including the balance between automation and human creativity

• reflects on the ethical and societal implications of AI-driven design, with particular attention to fairness, inclusivity, transparency and sustainability

• can reflect on the ethical and societal implications of AI-driven design, with particular attention to fairness, inclusivity, transparency and sustainability

• generative design and predictive modelling as design tools

• social, technological and science basis for AI adoption in design • automation of design work

• customised and accessible AI-powered services

• ethical challenges around AI

Lessons, discussions, workshops, group work, individual work.

Project description, maximum 1000 words.

The evaluation is based on two parts, each contributing 50 % of the final grade:

1. Written assignment: Students must submit one text, either individually or in groups, discussing ethical perspectives on AI in design. The text must not exceed 3000 words.
2. Group work presentations of self-initiated work with roots in the curriculum

Group size: Max 3 students

Both examination 1 and 2 must be passed in the same semester in order to pass the course

Part 1) The exam result can be appealed.

Part 2) The exam result cannot be appealed.

No restrictions on examination resources.

All resources are permitted as long as the rules for source referencing are followed. The student is required to indicate if and how AI has been used to answer the exam.

Scale A-F.

Two internal. External examiner is used periodically.