AI, Suicide Prevention and the Limits of Beneficence

Abstract In this paper, we address the question of whether AI should be used for suicide prevention on social media data. We focus algorithms that can identify persons with suicidal ideation based their postings platforms and investigate private companies like Facebook are justified in using these. To find out if is case, start providing two examples AI-based means media. Subsequently, frame as an issue beneficence, develop fictional cases to explore scope principle beneficence apply lessons learned Facebook’s employment prevention. show neither acting under obligation nor meritoriously. This insight leads us general who entitled help. conclude play important role prevention, they comply specific rules which derive from autonomy core principles biomedical ethics. At same time, public bodies have create appropriate framework conditions tools As outlook depict how cooperation between institutions make contribution combating and, way, put into practice.