LEARNING OUTCOMES
From the lectures presented and the readings required participants:
1. Learn about the discourses and terminology associated to the subject (or topic) of the School.
2. Exposure to literature related to the topic being discussed in the School.
3. Participate in interdisciplinary discussions about the subject of the School.
Credits: 2 - 6
Schedule: 16.05.2024 - 17.05.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Lily Diaz-Kommonen
Contact information for the course (applies in this implementation):
Prof. Lily Diaz-Kommonen is organiser and responsible faculty member.
It is a pleasure to welcome Antonio Lieto, Ph.D., Assoc. Prof. in Computer Science at the University of Salerno, and author of Cognitive Design for Artificial Minds who is our invited tutor for the course.
We will meet in the following rooms:
16 May 2024, 9:00 – 18:00, Otakaari 1, Room U121a
17 May 2024, 9:00 – 18:00, Otakaari 1, Room U137a (Historiahuone)
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Every year we select a topic for discussion as part of the Doctoral School at the Department of Media. In general the School last 2-3 days. This includes direct contact with invited guest speakers and faculty members. There are lectures, seminar discussions and candidates make presentations.
applies in this implementation
COGNITIVE DESIGN FOR ARTIFICIAL INTELLIGENCE
The topic of the school for the 2024 edition is Cognitive Design. The school aims to provide participants with an understanding about the Cognitive Design approach to the field of artificial intelligence, AI. Cognitive Design focuses on designing products, interfaces and experiences that meet the cognitive processes and needs of the user. Among questions subject to be discussion are: 1. What would characterize an AI system created using Cognitive Design? 2. What are some examples of AI systems created using Cognitive Design? 3. How does the explanatory power of AI systems created using a Cognitive Design approach compare with AI systems created with a machine-oriented approach. The course will delve deeply on these topics by presenting different case studies showing the potential of the Cognitive Design approach when applied to realisation of novel technologies.
Antonio Lieto, Ph.D., Assoc. Prof. in Computer Science at the University of Salerno, and author of Cognitive Design for Artificial Minds research interests are at the intersection of Artificial Intelligence, Cognitive Science and Human-Computer Interaction and focuses on the following areas: knowledge representation and automated reasoning, common sense reasoning, semantic/language technologies, cognitive architectures for intelligent interactive agents (embodied and not), persuasive technologies. He has been Vice-President of the Italian Association of Cognitive Sciences (AISC, 2017-2022), the recipient of the “Outstanding BICA Research Award” from the Biologically Inspired Cognitive Architecture Society (USA) and is an ACM Distinguished Speaker on the topics of cognitively inspired AI. He is member of the Scientific Board of the Italian Association for AI (AIxIA).
Read, Cognitive Design for Artificial Minds, https://primo.aalto.fi/permalink/358AALTO_INST/ngpgq9/alma999766429906526.
We also want to thank our Faculty at the School of Arts, prof. Pia Fricker, prof. Andres Lucero, vice-dean of education, Rasmus Vuori, and prof. Rupesh Vyas who will be participating in our Faculty Panel.
Assessment Methods and Criteria
valid for whole curriculum period:
Participation in the School and quality of work presented.
applies in this implementation
Students will:
1. Prepare and give a 20-minutes presentation about their current work and how it may be related to Artificial Intelligence. This will be followed by a 10-minutes discussion period about the presentation.
2. Engage in a collaborative exercise to create a Timeline Visualisation about the History of Artificial Intelligence.
3. Assemble a List of References related to Artificial Intelligence. In addition to articles, essays and books, the List of References can include Works of Art such as Films, Installations, and Videos.
4. Using the List of References gathered, select a topic and write an essay to be delivered in the Autumn term 2024.
More information about this will be given in the course.
Workload
valid for whole curriculum period:
Candidates are supposed to engage in readings and prepare their own presentations for the school.
applies in this implementation
There are sixteen (16) contact hours included in the workload. There is also additional work to be completed outside the course, such as the a presentation in class and a paper to be delivered at the beginning of the Autumn. Students can obtain a maximum of six (6) credits.
DETAILS
Study Material
valid for whole curriculum period:
Study materials are given prior to each edition of the School.
applies in this implementation
A bibliography that can be used in creating the Timeline Visualization will be distributed before the course starts.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - Summer
2023-2024 Autumn I - SummerEnrollment :
Minimum number of participants: 8
Maximum number of participants: 20Registration for courses: Sisu. Priority order to courses is according to the order of priority decided by the Academic committee for School of Arts, Design and Architecture, https://www.aalto.fi/en/services/registering-to-courses-and-the-order-of-priority-at-aalto-arts
applies in this implementation
Registration closes on 15 May 2024.
- Teacher: Diaz-Kommonen Lily