How Artificial Intellegence Can Support Veganism: An Exploratory Analysis.

This article explores the potential ways in which artificial intelligence (AI) can support veganism, a lifestyle that aims to promote the protection of animals and also avoids the consumption of animal products for environmental and health reasons. The first part of the article discusses the technic...

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Publicado en:Journal of Animal Ethics Vol. 13; no. 2; pp. 142 - 150
Autor principal: Hagendorff, Thilo
Formato: Artículo
Publicado: University of Illinois Press Fall2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Hagendorff, Thilo
        affil: University of Tuebingen, Germany
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        Veganism
        Factory farms
        Animal welfare
        Animal products
        Artificial intelligence
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          Veganism
          Factory farms
          Animal welfare
          Animal products
          Artificial intelligence
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        animal welfare
        artificial intelligence
        consumer behavior
        factory farming
        food
        machine learning
        plant-based lifestyle
        veganism
      ab: This article explores the potential ways in which artificial intelligence (AI) can support veganism, a lifestyle that aims to promote the protection of animals and also avoids the consumption of animal products for environmental and health reasons. The first part of the article discusses the technical requirements for utilizing AI technologies in the mentioned field. The second part provides an overview of potential use cases, including facilitating consumer change with the help of AI, technologically augmenting undercover investigations in factory farms, raising the efficiency of nongovernment organizations promoting plant-based lifestyles, and so forth. The article acknowledges that the deployment of AI should not happen in a "solutionist" manner, meaning to always consider nontechnical means for achieving desired outcomes. However, it is important for organizations promoting veganism to realize the potential of modern data-driven tools and to merge and share their data to reach common goals.
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