食品推荐应用的道德规范

Daniel Karpati, A. Najjar, Diego Agustín Ambrossio
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引用次数: 5

摘要

最近,食品推荐应用程序的空前普及引发了一些与依赖这些应用程序的伦理、社会和法律影响相关的问题。在本文中,为了评估相关的伦理问题,我们依赖于人工智能与伦理社区的新兴原则,并根据具体情况对其进行定义。考虑到欧洲市场上流行的食品推荐系统(以下简称F-RS)不能被视为个性化的F-RS,我们展示了如何仅仅缺乏功能就转移了焦点伦理问题的相关性。我们确定了主要的挑战,并提出了一个如何解释明确的道德议程的方案。我们还讨论了多利益相关者方法如何确保为所有利益相关者带来长期利益。在提出F-RS的8个道德理想点之后,我们提出了一个案例研究,并根据我们提出的理想点对其进行评估。
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Ethics of Food Recommender Applications
The recent unprecedented popularity of food recommender applications has raised several issues related to the ethical, societal and legal implications of relying on these applications. In this paper, in order to assess the relevant ethical issues, we rely on the emerging principles across the AI & Ethics community and define them tailored context specifically. Considering the popular Food Recommender Systems (henceforth F-RS) in the European market cannot be regarded as personalised F-RS, we show how merely this lack of feature shifts the relevance of the focal ethical concerns. We identify the major challenges and propose a scheme for how explicit ethical agendas should be explained. We also argue how a multi-stakeholder approach is indispensable to ensure producing long-term benefits for all stakeholders. After proposing eight ethical desiderata points for F-RS, we present a case-study and assess it based on our proposed desiderata points.
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