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.
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.

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