IMPORTANT INFORMATION FOR COMPSAC 2022 AUTHORS 

Because of uncertainties related to Covid 19, COMPSAC 2022, currently planned as an in-person event to be held in Turin, Italy, may be conducted in a hybrid format – with some sessions in-person and some over the Internet. If the conference format is hybrid, authors of accepted papers will be able to decide to present their papers either virtually or in-person in Turin. 

However, if the pandemic worsens, the conference will be completely virtual as it was in 2020 and 2021, and all presentations will be done virtually. We will announce in the submission acceptance letters to authors whether the conference will be hybrid or virtual. Registration fees will be adjusted to reflect the format of the conference.

5th International Workshop on Advances in Artificial Intelligence and Machine Learning (AIML 2022): Towards Trustworthy AI 

Goals of the Workshop 

The goal of the workshop, fifth 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; addressing topics such as eXplainable AI, algorithmic fairness, trust and reliability; and discussing challenges related to AI safe and robust deployment, testing/validation and certification. 

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. At the same time, AI is raising many concerns such as trust, algorithmic bias, potential misuse, unprecedented over surveillance, and data privacy and sovereignty, and intrinsic difficulties in relying on data-driven predictions in an uncertain and ever-shifting world. AI and ML technologies face significant challenges in moving from research labs to production environment, and in exhibiting robustness, transparency and safety throughout the entire development lifecycle. To embrace AI for good for the benefit of the society, information on recent and ongoing scientific and technological progress, as well as challenges and lessons learned need to be shared and discussed. This workshop is aligned with this year’s conference theme, “Computers, software & applications in an uncertain world.” 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. 

 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 2 

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 the COVID-19 pandemic 
  • 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 

Likely participants: AI researchers, academics, students, practitioners, developers and executives from industry and government, consultants, and those interested to learn about AI’s promise, concerns and practice and emerging developments. 

Please visit Information for Authors for formatting instructions, page limits, and IEEE paper templates.

Important dates for submission and notification are listed here.

Workshop Organizers

Lia Morra, Politecnico di Torino, Italy
Email: lia.morra@polito.it 

San Murugesan, Director BRITE Professional Services; Former Editor in Chief, IEEE IT Professional, Australia
Email: san1@internode.net 

Yunji Liang, Northwestern Polytechnical University, P.R.China
Email: liangyunji@nwpu.edu.cn 

Piyush Saxena, Direct Supply, USA
Email: piyush.saxena.phd@gmail.com 

Program Committee

(to be confirmed)

Antonio Vetrò, Politecnico di Torino, Italy 

Aswani Kumar Cherukuri, Vellore Institute of Technology (VIT), India 

Ivan Donadello, Libera Università di Bolzano, Italy 

Juan A. Álvarez-García, University of Seville, Spain 

Keng Siau, Missouri University of Science and Technology, USA 

Kenichi Yoshida, Tsukuba University, Japan 

Kozo Ohara, Aoyama Gakuin University, Japan 

Michael Eiden, Arthur D Little, UK 

Mohan K. Bavirisetty, CISCO, USA 

Shalini Kurapati, Clearbox AI, Italy 3 

Silvia Delsanto, Jato Dynamics, Italy 

Tad Gonsalves, Sophia University, Japan 

Tania Cerquitelli, Politecnico di Torino, Italy 

Uttam Ghosh, Vanderbilt University, USA

Xiaolong Zheng, Institute of Automation Chinese Academy of Sciences, China