What kind of studies will be of interest?

This track will examine strategies for equipping the workforce with the necessary skills to thrive in an AI-enhanced environment. From reimagining education and training paradigms to addressing ethical and social implications, this track will delve into innovative approaches that foster a symbiotic relationship between AI technologies and the workforce, ensuring a resilient and adaptable labor market for the future. Topics of interest may include (but are in no way limited to):

1. Reskilling and Upskilling Strategies: Investigate effective approaches for retraining and upskilling workers whose tasks are automated by AI technologies, exploring the role of online courses, certifications, and immersive learning experiences.

2. AI-Driven Curriculum Design: Explore how AI can be leveraged to design personalized and dynamic educational curricula that adapt to individual learning styles, career aspirations, and evolving industry demands.

3. Ethical and Inclusive AI Training: Examine methods to embed ethical considerations and diversity awareness into AI training programs, ensuring that the workforce is equipped to address bias, privacy concerns, and inclusivity in AI applications.

4. Policy and Regulation for AI Workforce: Examine the role of government policies and regulations in shaping AI workforce development, addressing issues like data privacy, worker rights, and the integration of AI into education systems.

5. AI-Enabled Resilience: Investigate how AI-driven approaches can enhance workforce resilience by preparing individuals for rapid technological changes, economic disruptions, and shifts in labor markets.

6. Human-Centered AI Design: Focus on the development of AI systems that prioritize human well-being and cognitive augmentation, contributing to a harmonious and productive human-AI partnership.

7. Case Studies and Best Practices: Showcase real-world examples of successful AI education and workforce development initiatives, highlighting strategies adopted by organizations, educational institutions, and governments.

8. AI Workforce in Developing Economies: Investigate how AI workforce development strategies can be adapted to the unique socio-economic contexts of developing nations, fostering sustainable growth and inclusive prosperity.

Submission Guidelines

Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines (https://www.flairs-37.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.)

FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission.

Conference Proceedings

Papers will be refereed and all accepted papers will appear in the conference proceedings.

Program committee:

Track Co-Chairs:

William Eberle, Tennessee Tech University (weberle@tntech.edu) 

Ingrid Russell, University of Hartford (irussell@hartford.edu)

Program Committee Members:

Idalis Villanueva Alarcon, University of Florida, (i.villanueva@ufl.edu)

Eric Bell, USA (Chsbellboy@gmail.com)

Jia Chen, Medidata AI (jia.chen.nyc@gmail.com)

Amr Hilal, Tennessee Tech University (ahilal@tntech.edu)

Yulia Kumar, Kean University (ykumar@kean.edu) 

Prabin Lamichhane, Mastercard (Plamichh@gmail.com)

Zdravko Markov, Central Connecticut State University, (MarkovZ@ccsu.edu)

Tony Pipe, University of West England (Anthony.Pipe@uwe.ac.uk)

Vasile Rus, University of Memphis (vasilerus@gmail.com)

Jonathan Seel, NavSea (jon.m.seel2.civ@us.navy.mil) 

Douglas Talbert, Tennessee Tech University (dtalbert@tntech.edu)

Further Information

Questions regarding the Special Track on AI Workforce Development and Supportive Education should be addressed to the Track Co-Chairs.

Questions regarding Special Tracks should be addressed to Special Track Coordinator Ismail Biskri, at Ismail.Biskri@uqtr.ca 

Invited Speakers

To be announced

Conference Web Sites

Paper submission site: https://www.flairs-37.info/call-for-papers

FLAIRS-37 conference web page: https://www.flairs-37.info/

Florida AI Research Society (FLAIRS): https://www.flairs.com