Special Track at The 34th International FLAIRS Conference

What is AI for Internet of Things, Maker Education and Creative Learning?

While it is not known for sure how the Fourth Industrial Revolution will take place it seems like common sense that it is connected with new technologies such as Artificial Intelligence, autonomous transportation, robotics, Internet of Things (IoT), additive manufacturing and CNC machines including 3D printing, biotechnology, and the merging of digital and physical worlds. The Internet of Things reflects the growing number of smart, connected products and it highlights the new opportunities these products can represent. We also noticed an increase in research combining AI and physical objects and the inclusion of AI in multidisciplinary educational projects in formal or non-formal creative spaces such as fab labs and makerspaces, creating socially relevant inventions. As computation becomes more ubiquitous and pervasive inside everyday products and is becoming more present in people's lives, the use of AI techniques in IoT and other smart objects embedded with computational capacity becomes a natural evolution. Thus, this track is interested in how we can foster creativity and innovation in AI to increase the complexity and functionality of products, projects or initiatives in order to offer better ways to solve everyday problems and how to use AI in creative educational projects in order to introduce AI techniques in the students' projects.

What kind of studies will be of interest?

Papers and contributions are encouraged for any work relating to AI or Internet of Things in formal or non-formal spaces - such as schools, fab labs, makerspaces, and universities. The thematic topics are:

• Artificial Intelligence for IoT and Maker Education at School
• Developing AI and IoT for building Socially Relevant Inventions
• Connecting Creative Learning to AI Initiatives
• Envisioning AI for Social Justice

These topics may include (but are not limited to)

• Internet of Things
• Learning Machine Learning
• Deep Learning
• Exploring Wearables
• Project-Based Learning
• Smart Things
• Agents
• Computer Vision
• Voice Recognition
• Speech or Text Recognition
• Virtual Reality
• Augmented Reality
• Mixed/Hybrid Reality
• Real-World Applications of IoT technology
• Case studies of AI techniques applied to IoT
• IoT Security
• Emotional Analysis on IoT devices
• Smart Sensors
• Machine Learning with Scratch
• Case studies related to AI with Creative Learning
• Case studies related to AI in makerspaces
• Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).

Submission Guidelines:

Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (4 pages for a short paper) and are due by February, 16, 2021. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-34.info/). Authors should indicate the AI for Internet of Things, Maker Education and Creative Learning special track for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper. Please check the website http://www.flairs-34.info/ for further information.

André Peres

IFRS Porto Alegre

(andre.peres@poa.ifrs.edu.br)

Fabiana Lorenzi

Invenio

(fabiana@invenio.com.br)