Workshops

2nd Work-in-Progress Workshop:

 “Rapidly Growing Artificial Intelligence DEVELOPMENT and Applications” (RAPID AI)

 

CHAIRS

Maria Virvou, University of Piraeus

George Tsihrintzis, University of Piraeus

Nikolaos Bourbakis, Wright State University

 

IISA 2024 conference proudly presents the 2nd Work-in-Progress (WiP) Workshop on “Rapidly Growing Artificial Intelligence Development and Applications ” (RAPID AI). Major advancements in AI have changed rapidly the landscape of AI and its applications welcoming AI experts as well as non-AI experts to use AI widely. In view of these advancements, the scientific community needs to examine the new directions, profits and challenges of rapidly growing AI. The workshop provides a platform for scientists to exchange ideas on the rapidly evolving landscape of AI applications, which includes the emergence of Large Language Models like OpenAI CHAT-GPT and Google BERT. They will explore how LLMs are changing the landscape of natural language processing and their potential applications in various fields, including education, healthcare, and finance.

Furthermore, the workshop will cover the latest developments in widespread AI applications, including off-the-shelf AI software products that require minimal customization. Participants will learn about the benefits and limitations of these products, as well as the impact of AI on the job market and workforce.

The workshop also aims to investigate the valuable insights gained from the wide integration of computers in all areas during the COVID-19 pandemic. The participants will discuss how AI has helped address challenges posed by the pandemic, such as remote learning and virtual healthcare. Additionally, they will explore the potential implications of rapid advancements in AI on various sectors, including privacy, security, and ethics.

 The event will feature a panel discussion and paper presentations on current research in the field.

PANEL DISCUSSION

The panel discussion will bring together experts from academia and industry to discuss the latest trends and challenges in Rapidly Growing Artificial Intelligence Development and Applications. They will share their insights and engage in a lively debate that will explore the emerging issues in the field.

PAPER PRESENTATIONS

In addition to the panel discussion, the workshop will also feature paper presentations that enables writers to present innovative, top-notch, and up-to-the-minute work. This is an opportunity for researchers and scholars to showcase their ongoing research projects, present their findings, and receive valuable feedback from their peers on the field of Rapidly Growing Artificial Intelligence Development and Applications.

 

CALL FOR WORK-IN-PROGRESS PAPERS

 

Prospective authors are invited to submit their Work-in-Progress (WiP) papers investigating the rapidly-changing scientific advancements of artificial intelligence and its wide-ranging applications in all application areas.

SCOPE

The scope of the WiP covers diverse subjects, ranging from initial research findings to creative projects, design ventures, or theoretical inquiries. We invite submissions of papers that will provide a summary of speculative breakthroughs, education-featured projects, open problems, new application challenges, visionary ideas, ethical issues, preliminary studies, or recent achievements that are not yet suitable for a full-length paper. We encourage WiP papers on all aspects of artificial intelligence and its applications in all domains.

WiP contributions may entail early phases of technological advancement or investigation, but they must not be in the process of review elsewhere or have appeared in any published form.

 

TOPICS

Topics include but are not limited to:

  • LLMs and NLP: Discussing the latest research on Large Language Models such as OpenAI CHAT-GPT and Google BERT, and their impact on natural language processing.
  • Applications of LLMs: Exploring the potential applications of Large Language Models in fields such as education, healthcare, finance, energy and beyond.
  • Off-the-shelf AI software: Examining the benefits and limitations of ready-made AI software products and their potential for customization.
  • Challenges of CHAT-GPT and LLMs
  • Ethical considerations of CHAT-GPT and LLMs
  • Evaluations of CHAT-GPT and LLMs
  • Future trends of AI- off the shelf
  • The black box problem in rapidly growing AI
  • Trust and explainability in rapidly growing AI
  • Wide accessibility of AI technology for use
  • Exploring the Role of AI in the Post-COVID Era: Highlighting the Impact of AI in Addressing Challenges posed by the Pandemic, including Remote Learning and Virtual Healthcare
  • Explainable AI: Discussing the importance of transparency and interpretability in AI systems and exploring different approaches to building explainable AI models.
  • Deep Learning: Examining rapid advancements in deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
  • AI for Social Good: Highlighting examples of how AI can be employed to benefit society and address social issues
  • Ethical and privacy concerns: Identifying potential ethical and privacy concerns associated with the widespread use of AI, and exploring strategies for addressing them.
  • International collaboration: Highlighting opportunities for international collaboration and cross-disciplinary research in the field of the rapidly growing AI.
  • AI and the job market: Considering the impact of AI on the workforce and strategies for mitigating negative effects.
  • Future directions: Discussing the future of AI research and development, and identifying potential directions for future research projects.

 

INSTRUCTIONS FOR AUTHORS

 

All Work-in-Progress papers should be submitted via www.easyacademia.org, and please make sure to follow the Submission Guidelines. All submissions should be written in English with a maximum paper length of four pages (including figures and references), as short papers only. Accepted WiP papers will be published in the IEEE IISA 2023 Conference Proceedings and submitted to IEEE Xplore® as well as other Abstracting and Indexing (A&I) databases.

 

 

IMPORTANT DEADLINES

Paper submission: May 17, 2024 (Final Extension)
Author notification: June 10, 2024 (updated)
Camera-ready paper submission: June 24, 2024 (updated)