FFD 516 | Course Introduction and Application Information - Design Studies (With Thesis)

Course Name

Designing AI Products and Services

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
FFD 516	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language
Course Type	Elective
Course Level	-
Mode of Delivery	-
Teaching Methods and Techniques of the Course	Discussion Group Work Critical feedback Lecture / Presentation
National Occupation Classification	-
Course Coordinator	Dr. Öğr. Üyesi Deniz SAYAR
Course Lecturer(s)	Dr. Öğr. Üyesi Deniz SAYAR
Assistant(s)	-

Course Objectives	In this course, students will read and discuss research papers on AI design opportunities and challenges. Activities will include lectures, discussion of relevant literature in each field, presentations, and a project. Students will work together in groups to carry out design research and to propose future scenarios.
Learning Outcomes	The students who succeeded in this course; 1) Classify design arguments in research papers 2) Explain supporting evidence related to design arguments in research papers 3) Identify design problems in the context of AI products and services and propose solutions to address them 4) Compare existing AI products and services in terms of required data and user interactions 5) Discuss the associated risks of existing AI products and services in terms of privacy and ethics
Course Description
Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation
1	Course Introduction and overview, division of research papers	Syllabus
2	Data-enabled design	van Kollenburg, J., Bogers, S., Rutjes, H., Deckers, E., Frens, J., and Hummels, C. (2018). Exploring the value of parent-tracked baby data in interactions with healthcare professionals: A data-enabled design exploration. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1–12. Mortati, M. (2023). New design knowledge and the fifth order of design. Design Issues, 38(4), 21-34.
3	AI principles, guidelines, and frameworks	Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., et al. (2019). Guidelines for human-AI interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13. Schneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human-Computer Interaction, 36(6), 495-504.
4	AI design challenges	Yang, Q., Steinfeld, A., Rosé, C., and Zimmerman, J. (2020). Reexamining whether, why, and how human-AI interaction is uniquely difficult to design. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. Dove, G., Halskov, K., Forlizzi, J., and Zimmerman, J. (2017). UX design innovation: Challenges for working with machine learning as a design material. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 278–288.
5	AI design strategies	Verganti, R., Vendraminelli, L., and Iansiti, M. (2020). Innovation and design in the age of artificial intelligence. Journal of Product Innovation Management, 37(3), 212-227. Huang, M.-H., and Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
6	Practitioners’ experiences in designing with and for AI	Yang, Q., Scuito, A., Zimmerman, J., Forlizzi, F., and Steinfeld, A. (2018). Investigating how experienced UX designers effectively work with machine learning. In Proceedings of the Designing Interactive Systems Conference, 585–596. Yildirim, N., Kass, A., Tung, T., Upton, C., Costello, D., Giusti, R., Lacin, S., Lovic, S., O’Neill, J. M., Meehan, R. O. et al. (2022). How Experienced Designers of Enterprise Applications Engage AI as a Design Material. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–13.
7	Generative AI	Inie, N., Falk, J., and Tanimoto, S. (2023). Designing Participatory AI: Creative Professionals’ Worries and Expectations about Generative AI. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), April 23–28, 2023, Hamburg, Germany. Weisz, J. D., Muller, M., He, J and Houde, S. (2023). Toward General Design Principles for Generative AI Applications.
8	Fairness, Accountability, Transparency, and Ethics (FATE) in AI	Capel, T. and Brereton, M. (2023). What is Human-Centered about Human-Centered AI? A Map of the Research Landscape. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. Holstein, K., Vaughan, J. W., Daumé III, H., Dudik, M., and Wallach, H. (2019). Improving fairness in machine learning systems: What do industry practitioners need? In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–16.
9	Presentation of fieldwork results	Announced submission requirements
10	Idea generation for AI product/service design project	Clustering of fieldwork findings
11	Discussion on AI scenarios 1	Scenario development phase 1
12	Discussion on AI scenarios 2	Scenario development phase 2
13	Design proposal	Poster submission
14	Project submission	Announced submission requirements
15	Semester Review
16	Review of the Semester

Course Notes/Textbooks

There is no textbook to be followed. The required readings will be made available for the students.

Additional resources: http://pair.withgoogle.com,

https://dl.acm.org/doi/proceedings/10.1145/3544548,

King, R., Churchill, E. F., and Tan, C. (2017). Designing with data: Improving the user experience with A/B testing. O’Reilly Media, Inc.

Suggested Readings/Materials

Other online resources will be announced throughout the course.

Semester Activities	Number	Weigthing
Participation
Laboratory / Application
Field Work	1	20
Quizzes / Studio Critiques
Portfolio	1	40
Homework / Assignments
Presentation / Jury	2	40
Project
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total			0

Weighting of Semester Activities on the Final Grade	4	100
Weighting of End-of-Semester Activities on the Final Grade
Total

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	16	3	48
Field Work	1	15	15
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury	2	25	50
Project	1	64	64
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam			0
		Total	225

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	to be able to expand the practical knowledge gained in undergraduate programs with theoretical field of design research,	-	-	X	-	-
2	to be able to examine, interpret data and assess concepts and ideas with research methods of design theory and social sciences,	-	X	-	-	-
3	to be able to identify problems of design disciplines in times of global / environmental crisis and to be able to develop possible solutions for design practitioners,	-	-	-	-	-
4	to be able to expand knowledge on the history of material culture as it relates to design practices of the past,	-	-	-	-	-
5	to be able to promote research on local practices of everyday life and assess the outcome to implement design solutions,	-	X	-	-	-
6	to be able to facilitate interactions in between varied design disciplines and to promote collaborative work to solve complex problems,	-	-	-	X	-
7	to be able to process outcome of design research to be applied in design education,	-	-	-	-	-
8	to be able to instigate research on the new tools, technologies and materials of production in order to accelerate changes in design practices,	-	-	-	X	-
9	to be able to develop an ethical approach towards design professions in order to install social and environmental responsibilities,	-	-	X	-	-
10	to be able to use a foreign language for both chasing the scientific publication and developing proper communication with colleagues from other countries, in written and verbal ways.	-	-	-	-	-
11	to be able to use computer programs needed in the field design as well as information and communication technologies in advanced levels (“European Computer Driving Licence”, Advanced Level”).	-	-	-	-	-