  With the growing capabilities and pervasiveness of AI systems, societies must
collectively choose between reduced human autonomy, endangered democracies and
limited human rights, and AI that is aligned to human and social values,
nurturing collaboration, resilience, knowledge and ethical behaviour. In this
chapter, we introduce the notion of self-reflective AI systems for meaningful
human control over AI systems. Focusing on decision support systems, we propose
a framework that integrates knowledge from psychology and philosophy with
formal reasoning methods and machine learning approaches to create AI systems
responsive to human values and social norms. We also propose a possible
research approach to design and develop self-reflective capability in AI
systems. Finally, we argue that self-reflective AI systems can lead to
self-reflective hybrid systems (human + AI), thus increasing meaningful human
control and empowering human moral reasoning by providing comprehensible
information and insights on possible human moral blind spots.
