AIML 2024: The 7th IEEE International Workshop on Advances in Artificial Intelligence and Machine Learning: AI & ML for a Sustainable and Better Future

Call for Papers

The goal of the workshop, seventh in the series at COMPSAC, is to foster interaction and information exchange among AI researchers and practitioners, both from academia and industry, on the safe, reliable and trustworthy application of Artificial intelligence (AI) and Machine learning (ML) in real-world applications. The workshop aims at: presenting a variety of novel AI applications, case studies and large-scale validation of AI technologies; examining risks and concerns of AI and ML; outlining practical challenges in formulating an AI strategy; discussing AI for Good initiatives; AI & ML for better future; addressing topics such as eXplainable AI, algorithmic fairness, trust and reliability; and discussing challenges related to AI safe and robust deployment; AI on chip; new generation AI/ML models; Sustainable AI; AI for sustainability; testing/validation and certification; Generative AI; Ethical frameworks for AI; AI for sustainable growth; AI for sustainable supply chains.

Workshop Theme 

After decades of generous promises and frustrating disappointments, artificial intelligence (AI) is now delivering real-world benefits, and adopters in businesses and industry in different sectors are embracing the promise of AI reaping significant benefits.  AI is now more pervasive and influencing all aspects of human life. Further, AI is progressing from narrow AI to Artificial General Intelligence (AGI).  There are growing efforts towards harnessing AI in multiple dimensions including handling data, novel algorithms, new models of compute, socio and economic aspects.  This growth should lead to building a better  AI models for a better and sustainable future. Hence the main focus is to address the sustainability in entire life cycle of AI. At the same time, this grown in AI has the potential not only make our lives better on this planet but also the way we manage our planet.  Hence AI can contribute to Sustainable Development Goals (SDG) of United Nations. This year workshop is aligned with the theme of COMPSAC 2024 conference, Digital development for a better future.  The Workshop will cover several elements of AI research and practice and socio-technical challenges facing adoption of AI in new innovative applications, outline status of AI in practice, and examine AI’s yet to be realised potential for sustainable and better future.

Scope of the Workshop 

This workshop will facilitate much needed interaction and information exchange among AI researchers, practitioners and business executives. It will provide an interactive forum for discussion on recent and ongoing developments, key issues and challenges, and practices related to AI applications. It will also serve as a platform to present case studies and discuss application to experience as well as to demonstrate applications and software tools. Researchers and practitioners from all over the world, from academia, industry, and government will be invited to present their work and perspectives and participate in the workshop.

Topics of interest include, but are not limited to:

  • Advances in AI and machine learning, deep learning, cognitive computing, intelligent agent, chatbot 
  • AI strategy for business and industry 
  • AI applications in industry, business, healthcare, and education and training 
  • AI in the fight against pandemics. 
  • AI in government 
  • AI for social good 
  • AI in legal practice, and legal aspects of AI (liability, etc) 
  • AI for enhancing information security and privacy 
  • Work in the age of AI 
  • Trust, resilience, privacy and security issues in AI applications 
  • Testing and validation of AI and ML applications 
  • Risks, limitations, and challenges of AI and ML 
  • Legal, regulatory, ethical aspects of AI 
  • AI: promise vs practice 
  • Societal implications of the rise of AI 
  • AI and blockchain 
  • Human-centered AI 
  • Explainable AI 
  • Responsible AI 
  • Trustworthy AI 
  • Human-machine co-existence and collaboration 
  • Intelligent, autonomous robots and cars 
  • Industry 4.0 
  • Smart society 
  • AI and IoT 
  • Case studies, experience reports, lessons learned 
  • Overview of AI activities in a region/country 
  • The Future of AI 
  • Adversarial ML & Deep Fakes
  • Secure AI models
  • Scalability of ML models
  • Lightweight ML models / ML for edge devices
  • Quantum ML
  • AI for Sustainable development goals.
  • Generative AI
  • AI for better and sustainable future
  • AI based precision agriculture
  • AI for greener future
  • AI for sustainable supply chains
  • AI for sustainable resource use

Paper Templates

IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.

IEEE Conference Publishing Policies

All submissions must adhere to IEEE Conference Publishing Policies.

IEEE Cross Check

All submission will be screened for plagiarized material through the IEEE Cross Check portal.

Important Dates – Workshops

Workshop, Fast Abstract, SRS, JC  papers due
April 15, 2024  Extended to April 21

Notification
May 1, 2024

Camera Ready & Registration due
May 25, 2024

Workshop Chairs

Aswani Kumar Cherukuri
Vellore Institute of Technology, India
Email: cherukuri[at]acm.org

San Murugesan
BRITE Professonal Services, Australia
Email: san1[at]internode.net

Lia Morra, Politecnico di Torino, Italy
Email: lia.morra[at]polito.it

Program Committee

Antonio Vetrò, Politecnico di Torino, Italy
Arghya Kusum Das, University of Alaska, USA
Ashraf Elnagar, University of Sharjah,  Arab Emirates.
Darshika G. Perera, University of Colorado, USA
Debasis Ganguly, University of Glasgow, United Kingdom
Firuz Kamalov, Canadian University Dubai, UAE
Gang Li, Deakin University, Australia
Gianfranco Politano, Politecnico di Torino, Italy
Ivan Donadello, Libera Università di Bolzano, Italy
Jan Hidders, Birkbeck University of London, United Kingdom.
Jinhai Li, Kunming University of Science and Technology, China.
Juan A. Álvarez-García, University of Seville, Spain
Kenichi Yoshida, Tsukuba University, Japan
Kozo Ohara, Aoyama Gakuin University, Japan
Luigi Troiano, University of Salerno, Italy
Maria R. Lee, Shih Chien University, Taiwan.
Michael Eiden, Arthur D Little, UK
Min Xu, Carnegie Mellon University, USA
Mohan K. Bavirisetty, CISCO, USA
Mufti Mahmud, Nottingham Trent University, United Kingdom
Muhammad Naveed Aman, University of Nebraska-Lincoln, USA.
Paula Brito, Universidade do Porto, Portugal
Praveen Kumar Donta, Vienna University of Technology, Austria
Sambit Bakshi, NIT Rourkela, India
Santosh Kumar Ray, Khawarizmi International College, UAE
Saqib Hakak, University of New Brunswick, Canada
Shalini Kurapati, Clearbox AI, Italy
Shaoshan Liu, PerceptIn, USA
Silvia Delsanto, Jato Dynamics, Italy
Sriram Chellappan, University of South Florida, USA
Sydney Kasongo, Stellenbosch University, South Africa
Tad Gonsalves, Sophia University, Japan
Tania Cerquitelli, Politecnico di Torino, Italy
Tran Duc Tan, Phenikaa University, Vietnam
Uttam Ghosh, Vanderbilt University, USA
Vijayalakshmi Saravanan, University of South Dakota, USA
Voliansky Roman, National Technical University, Ukraine
Xiaolong Zheng, Institute of Automation Chinese Academy of Sciences, China
Yulei Wu, University of Exeter, United Kingdom.
Yunji Liang, Northwestern Polytechnical University, P.R.China
Yuriy Dyachenko, Ukranian National University, Ukraine