This course is offered through the Network for Doctoral Studies. These studies are available for doctoral degree students studying in the University of Jyväskylä.
","fi":"Tämä opintojakso on tarjolla tohtorikoulutusverkostossa. Verkoston opinnot ovat tarjolla Jyväskylän yliopiston tohtoriopiskelijoille.
"},"cooperationNetwork":{"abbreviation":"doc-courses","name":{"en":"National doctoral courses","fi":"Kansalliset tohtoriopinnot","sv":"National doctoral courses"}}}],"gradeScaleId":"sis-hyl-hyv","outcomes":{"en":"Upon completion of the course, the student will be able to:\r\n•\texplain key concepts, theories, and socio-technical perspectives related to Human–AI Interaction;\r\n•\tcritically analyse ethical, societal, and usability challenges of AI-enabled systems, including fairness, transparency, explainability, human values, and AI-related harms;\r\n•\tapply human-centred and value-sensitive design approaches to the analysis and development of AI systems;\r\n•\tidentify and frame research problems related to Human–AI Interaction;\r\n•\tdesign and communicate research-informed conceptual interventions, low-fidelity prototypes, or analytical frameworks for existing AI systems;\r\n•\tevaluate AI interaction concepts using appropriate research and design methods;\r\n•\tdiscuss the implications of Human–AI Interaction research for responsible AI development and practice.","fi":"Upon completion of the course, the student will be able to:\r\n•\texplain key concepts, theories, and socio-technical perspectives related to Human–AI Interaction;\r\n•\tcritically analyse ethical, societal, and usability challenges of AI-enabled systems, including fairness, transparency, explainability, human values, and AI-related harms;\r\n•\tapply human-centred and value-sensitive design approaches to the analysis and development of AI systems;\r\n•\tidentify and frame research problems related to Human–AI Interaction;\r\n•\tdesign and communicate research-informed conceptual interventions, low-fidelity prototypes, or analytical frameworks for existing AI systems;\r\n•\tevaluate AI interaction concepts using appropriate research and design methods;\r\n•\tdiscuss the implications of Human–AI Interaction research for responsible AI development and practice."},"tweetText":null,"content":{"en":"The course introduces doctoral researchers to Human–AI Interaction from a socio-technical and human-centred perspective. Topics include:\r\n•\tfoundations and history of Human–AI Interaction;\r\n•\thuman-centred and value-sensitive AI design;\r\n•\texplainable and interactive AI systems;\r\n•\tfairness, transparency, accountability, and ethical AI;\r\n•\tconversational agents and AI-related risks and harms;\r\n•\tconceptual and critical approaches to AI-enabled systems;\r\n•\tprototyping and evaluating Human–AI Interaction concepts;\r\n•\tresearch methods and project-based analysis of existing AI systems.\r\n\r\nThe course combines lectures, discussions, readings, and hands-on research and design activities.","fi":"The course introduces doctoral researchers to Human–AI Interaction from a socio-technical and human-centred perspective. Topics include:\r\n•\tfoundations and history of Human–AI Interaction;\r\n•\thuman-centred and value-sensitive AI design;\r\n•\texplainable and interactive AI systems;\r\n•\tfairness, transparency, accountability, and ethical AI;\r\n•\tconversational agents and AI-related risks and harms;\r\n•\tconceptual and critical approaches to AI-enabled systems;\r\n•\tprototyping and evaluating Human–AI Interaction concepts;\r\n•\tresearch methods and project-based analysis of existing AI systems.\r\n\r\nThe course combines lectures, discussions, readings, and hands-on research and design activities."},"additional":{"en":"The course is intended for doctoral researchers interested in Human–AI Interaction, human-centered AI, digital ethics, AI-supported systems, and socio-technical aspects of artificial intelligence.\r\nThe course is particularly relevant for doctoral researchers in information technology, human sciences, design, education, health, and interdisciplinary AI-related research.\r\nDoctoral researchers from all doctoral programmes at the University of Oulu may participate if space permits.\r\n\r\nThe course emphasizes interdisciplinary discussion and research-oriented learning. Students are encouraged to connect course themes to their own doctoral research.","fi":"The course is intended for doctoral researchers interested in Human–AI Interaction, human-centered AI, digital ethics, AI-supported systems, and socio-technical aspects of artificial intelligence.\r\nThe course is particularly relevant for doctoral researchers in information technology, human sciences, design, education, health, and interdisciplinary AI-related research.\r\nDoctoral researchers from all doctoral programmes at the University of Oulu may participate if space permits.\r\n\r\nThe course emphasizes interdisciplinary discussion and research-oriented learning. Students are encouraged to connect course themes to their own doctoral research."},"prerequisites":{"en":"No formal prerequisites. Basic familiarity with research methods and interest in artificial intelligence, digital technologies, or human-centered design is recommended\r\n\r\nIf the number of participants exceeds the available places, participants will be accepted in registration order.\r\nThe course is open to doctoral researchers from all doctoral programmes at the University of Oulu, subject to available capacity. Doctoral researchers from other universities are also welcome to participate (Cross-institutional and Doctoral+ applicants)..\r\n\r\nMaximum number of participants: 20","fi":"No formal prerequisites. Basic familiarity with research methods and interest in artificial intelligence, digital technologies, or human-centered design is recommended\r\n\r\nIf the number of participants exceeds the available places, participants will be accepted in registration order.\r\nThe course is open to doctoral researchers from all doctoral programmes at the University of Oulu, subject to available capacity. Doctoral researchers from other universities are also welcome to participate (Cross-institutional and Doctoral+ applicants)..\r\n\r\nMaximum number of participants: 20"},"compulsoryFormalPrerequisites":[],"recommendedFormalPrerequisites":[],"literature":[],"learningMaterial":null,"completionMethods":[]}],"prerequisiteCourseUnit":[],"prerequisiteModule":[]},"prerequisiteCourseUnitPage":{"nodes":[]},"prerequisiteModulePage":{"nodes":[]},"parentModulePage":{"nodes":[]}},"pageContext":{"type":"courseUnit","locale":"en","title":"Human-AI Interaction","id":"otm-5b417815-674e-37e6-8d5a-037090924198","code":"DP00BE62","prerequisiteCourseUnitIds":[],"prerequisiteModuleIds":[],"parentModuleIds":[],"curriculumPeriodStartDate":"2026-08-01","curriculumPeriodEndDate":"2027-08-01","coordinatingOrgIds":[],"searchable":false,"searchTags":null,"organisationIds":["otm-71fd8cc0-9fb4-38e1-bbb0-d1d63f911ddf"],"organisations":[],"attainmentLanguages":["en"],"hasSummerStudies":false,"teachingPeriods":[],"cooperationNetworkDirection":"INBOUND","hasCooperationNetworkSettings":true,"hasAvoinTeaching":false}}}