Workshop description and topics

The workshop aims at ethical applications of AI for a human-centered cyber
society. The AI, IoT, VR, AR, are ubiquitously integrated into every aspect of
human and social life. Increasingly, it appears critical to establish trust
and harmonize systems around humans: from human comfort and health to
conveying to users the reliability of deep learning systems and robotics, even
clearly exposing their limitations along with addressing their usefulness. The
harmonious integration of applications in society develops the ability of the
individual to adapt positively to change (resilience and response) only if,
instead of imposing to humans an AI-centered world, the central focus is
reorganizing AI to environments around all aspects of human life. Presenting
AI architectures and applications designed re-evaluating the ethics, and
education of individuals and society through scientific research actors, is
the focus of this workshop, where exceptions and special cases are of interest
as much as generic domains.

Topics will include (not limited to), in the workshop point of view, models,
architectures, systems and
experiences on:
*Artificial intelligence for the good
*AI and IoT-enabled solutions for healthcare
*Deep learning ethical applications
*Smart agriculture
*Machine Learning methods for urban environments
*Medical robotics
*Adaptive and intelligent mobile health
*Environmental and workplace monitoring for the assessment of occupational
risks and worker comfort
*Next-generation sensing and Cloud services
*Recent advances in affective computing and emotion recognition
*Wearable sensors and algorithms
*Advanced nanomaterial-based sensors
*New trends for securing the Internet of Things
*Privacy and trust in cyber pandemics
*Social network analysis for virus spread
*AI and deep learning solutions to manage the pandemics
*AI-based analysis of seismic noise
*Virtual and Augmented Reality for physical and mental wellness
*Smart robotics for automation and social robots
*Biologically-inspired algorithms for the co-existence of AI and humans
*Applications to specific linguistic and cultural issues

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