CADA tracker · source extraction
(21)
As AI agents have become increasingly capable and AI applications have become
more deeply embedded in real-world business scenarios, industry is rapidly evolving
towards a new paradigm that equips such systems with autonomous execution
capabilities. This transition to a new paradigm requires a robust technical framework
to ensure the safety, accuracy and legal compliance of those systems, given the
stringent engineering requirements pertaining on AI platforms. Accordingly, the Cloud
and AI Leadership Initiatives should aim to establish sovereign and secure AI
platforms dedicated to the large-scale deployment and orchestration of advanced AI
agents. Those platforms should be supported by innovative orchestration frameworks
that ensure transparency and accountability in multi-agent interactions. It is also
necessary to facilitate the development of rigorous testing and experimentation
methodologies of AI agents and orchestration to minimise unintended autonomous
behaviour.