The adoption of Artificial intelligence (AI) technologies is steadily in-
creasing. However, to become fully pervasive, AI needs resources at the
edge of the network. The cloud can provide the processing power needed
for big data, but edge computing is close to where data are produced
and therefore crucial to their timely, flexible, and secure management. In
this paper, we introduce the AI-SPRINT “Artificial intelligence in Secure
PRIvacy-preserving computing coNTinuum” project, which will provide
solutions to seamlessly design, partition, and run AI applications in com-
puting continuum environments. AI-SPRINT will offer novel tools for AI
applications development, secure execution, easy deployment, as well as
runtime management and optimization: AI-SPRINT design tools will al-
low trading-off application performance (in terms of end-to-end latency or
throughput), energy efficiency, and AI models accuracy while providing
security and privacy guarantees. The runtime environment will support
live data protection, architecture enhancement, agile delivery, runtime
optimization, and continuous adaptation.