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 AIu0026Ethics community and define them tailored context specifically. Considering the popular Food Recommender Systems (henceforth FRS) in the European market cannot be regarded as personalised FRS, 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 multistakeholder approach is indispensable to ensure producing longterm benefits for all stakeholders. After proposing eight ethical desiderata points for FRS, we present a casestudy and assess it based on our proposed desiderata points.

Beyond Near and LongTerm: Towards a Clearer Account of Research Priorities in AI Ethics and Society. One way of carving up the broad AI ethics and society research space that has emerged in recent years is to distinguish between nearterm and longterm research. While such ways of breaking down the research space can be useful, we put forward several concerns about the nearlongterm distinction gaining too much prominence in how research questions and priorities are framed. We highlight some ambiguities and inconsistencies in how the distinction is used, and argue that while there are differing priorities within this broad research community, these differences are not wellcaptured by the nearlongterm distinction. We unpack the nearlongterm distinction into four different dimensions, and propose some ways that researchers can communicate more clearly about their work and priorities using these dimensions. We suggest that moving towards a more nuanced conversation about research priorities can help establish new opportunities for collaboration, aid the development of more consistent and coherent research agendas, and enable identification of previously neglected research areas.