AIML 2018-03-08T22:37:55+00:00

AIML: The 1st IEEE International Workshop on Advances in AI and Machine Learning: Research & Practice

Call for Papers

After decades of generous promises and several frustrating disappointments, artificial intelligence (AI) and machine learning (ML) is finally starting to deliver real benefits, and early adopters in business and industry are embracing its promise reaping benefits. We’re now witnessing rapid advances in AI and ML – in research, development, application and commercialization. To lay better foundation for the future – to make the connected, smartening world more smarter and to embrace AI for good for benefit of society, advances in AI and ML, their new innovative applications, and challenges and lessons learned need to be shared and discussed.

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 provide a platform to demonstrate applications and software tools, and present case studies and application experience. Researchers and practitioners from all over the world, from academia, industry, and government are 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 legal practice
  • Entertainment in the AI age
  • 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 implication of the rise of 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


Paper Submission Site


Deadlines and due dates are available on the Important Dates page.

Paper templates and additional information for authors is available on the Information for Authors page.



AIML Workshop Organizers

San Murugesan, Director BRITE Professional Services; Editor in Chief Emeritus, IEEE CS IT Professional, Australia
Email: san@computer.org

Takahira Yamaguchi, Faculty of Science and Technology, Keio University; Past President, Japanese AI Association, Japan
Email: yamaguti@ae.keio.ac.jp

AIML Program Committee

Mohan K. Bavirisetty, CISCO, USA

Seth Earley, Earley Associates, USA

Sunil Mithas, University of Maryland, USA

Takeshi Morita, Keio University, Japan

Kozo Ohara, Aoyama Gakuin University, Japan

Kenichi Yoshida, Tsukuba University, Japan