This article discusses some ethical aspects involved in developing and applying AI systems: positive contribution, human autonomy, privacy, justice, and transparency. It would be good if the people involved in development and application consider such ethical aspects explicitly and carefully. To this end, they can organize a process of reflection and deliberation: a series of meetings in which, for example, data scientists, software engineers, lawyers, civil servants, human rights experts and citizens discuss such ethical aspects. Rapid Ethical Deliberation is discussed as an example of such an approach, with some examples from the justice and security domain. Finally, a brief discussion follows on the added value of transdisciplinary approaches (ELSA) and virtue ethics for organizing such meetings.

With an ever-growing world population, mass incidents like those at the Astroworld Festival in 2021 and Halloween in Seoul in 2022 may occur more often. Crowd management, with artificial intelligence (AI) as a promising tool, can offer solutions. AI can analyze crowds, predict escalations, and enable early interventions. Detecting group emotion plays a crucial role, which can be achieved through various data modalities, each with its own advantages and disadvantages. Multi-agent simulation models then predict emotional contagion effects in crowds. Various considerations are discussed, with privacy, validity, and applicability being central.