AIIP 2018 - 1st IEEE International Workshop on AI in Practice

After decades of generous promises and often frustrating disappointment, artificial intelligence (AI) is finally starting to deliver real-life benefits, and early adopters in business and industry in different sectors are embracing its promise of AI reaping valuable benefits. We're witnessing a promising trend. To lay a better foundation for the future - to make the connected, smartening world more smarter and embrace AI for good and for the benefit of society, information about recent and ongoing progress and new innovative applications, as well as challenges and lessons learned need to be shared and discussed. This will facilitate this targeted information challenge. It will cover several elements of AI with specific reference to applications in practice and the socio-technical challenges, provide an overview of the current status of AI in practice, and examine AI's potential now and in the near future.
Scope of the Workshop
This workshop 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 participate in the workshop. Topics of interest include, but are not limited to:
AI applications
AI stragegy for business and industry
AI in industry
AI in business
AI in education and training
AI in healthcare and wellbeing applications
AI in legal practice and accountancy
Entertainment in the AI age
AI for enhancing information security and privacy
Work in the AI age
Trust, resilience, privacy and security issues in AI apps
Testing and validation of AI applications
Risks, limitations, and challenges of AI
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
Machine learning and deep learning
Experience reports, lessons learned
Case studies
Overview of AI activities in a region/country
The future of AI