  There is a lack of a single architecture specification that addresses the
needs of trusted and secure Artificial Intelligence systems with humans in the
loop, such as human-centered manufacturing systems at the core of the evolution
towards Industry 5.0. To realize this, we propose an architecture that
integrates forecasts, Explainable Artificial Intelligence, supports collecting
users' feedback, and uses Active Learning and Simulated Reality to enhance
forecasts and provide decision-making recommendations. The architecture
security is addressed as a general concern. We align the proposed architecture
with the Big Data Value Association Reference Architecture Model. We tailor it
for the domain of demand forecasting and validate it on a real-world case
study.
