Recommender system (RS) nowadays has to reflect, combine, and solve often contrasting requirements and expectations from dozens of stakeholders. In fact, the problem is even more complicated as each of the stakeholders can simultaneously have various objectives creating a diverse and complicated environment with several stakeholders and their objectives in which a RS operates. To address this problems the Multi-objective and Multi-stakeholder RS have been studied in the literature. However, a limited attention has been paid to trustworthiness aspects of such RS, which slowly becomes a new standard. In this paper, we highlight open challenges and important questions which need to be addressed on the way to trustworthy Multi-stakeholder RS.

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