Data Science Events Calendar
Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
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Human-Centered Artificial Intelligence (2024)
November 4 - November 6
Welcome to Human-Centered Artificial Intelligence
Organizer: Niels van Berkel
Lecturers: Haiyi Zhu
ECTS: 3
Date/Time: 4-5-6 November 2024
Deadline: 13 October 2024
Max no. Of participants: 20
Description: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors in society ranging from health, transportation, finance, construction, entertainment among others. Taking an optimistic view, Ben Schneiderman envisions,” computing devices that dramatically amplify human abilities, empowering people and ensuring human control.” He proposes that, “Human-Centered AI (HCAI), enables people to see, think, create, and act in extraordinary ways, by combining potent user experiences with embedded AI support services that users want.” Taking departure in this view, we explore prevailing research and discuss the important issues related to how AI system predict and monitor and adapt to the user. Research themes include the staples of HCI such as task performance and usability/experience and HAI-specific concerns about transparency, explainability, predictability, user control, and ethical implications.
HCI research is a fundamentally interdisciplinary field that is growing and rising to the challenges and opportunities with AI. In this course, participants will learn a concise history of the topic of Artificial Intelligence, understand the basic technical terms and techniques, and will gain an overview of broad topics of current human-centered AI research. Examples from autonomous transportation, voice interfaces, robotics, public information systems and others provide a deeper understanding of the state-of-the-art research and design of HAI. Students will learn how to critically examine HAI research articles identifying the strengths and weaknesses and possible future directions. Students will consider their current research and how themes of this course relate to their work.
Prerequisites: Students should be familiar with the basic methods and practice from Human-Computer Interaction, Computer-Supported Cooperative Work, or similar fields.
Location: All lectures will take place at Selma Lagerløfs Vej 300, 9220 Aalborg – the Computer Science building (also called Cassiopeia) at Aalborg University. Easiest to take bus 2 or bus 12 to AAU Busterminal (Sigrid Undsetsvej / Aalborg) and walk a few minutes from here. We will start Monday in Room 0.2.90
Disclaimer:
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