Deakin University
Browse
bhatti-useof-2022.pdf (390.71 kB)

Use of artificial intelligence to enable dark nudges by transnational food and beverage companies: analysis of company documents

Download (390.71 kB)
AbstractObjective:To describe the use of artificial intelligence (AI)-enabled dark nudges by leading global food and beverage companies to influence consumer behaviour.Design:The five most recent annual reports (ranging from 2014 to 2018 or 2015 to 2019, depending on the company) and websites from twelve of the leading companies in the global food and beverage industry were reviewed to identify uses of AI and emerging technologies to influence consumer behaviour. Uses of AI and emerging technologies were categorised according to the Typology of Interventions in Proximal Physical Micro-Environments (TIPPME) framework, a tool for categorising and describing nudge-type behaviour change interventions (which has also previously been used to describe dark nudge-type approaches used by the alcohol industry).Setting:Not applicable.Participants:Twelve leading companies in the global food and beverage industry.Results:Text was extracted from fifty-seven documents from eleven companies. AI-enabled dark nudges used by food and beverage companies included those that altered products and objects’ availability (e.g. social listening to inform product development), position (e.g. decision technology and facial recognition to manipulate the position of products on menu boards), functionality (e.g. decision technology to prompt further purchases based on current selections) and presentation (e.g. augmented or virtual reality to deliver engaging and immersive marketing).Conclusions:Public health practitioners and policymakers must understand and engage with these technologies and tactics if they are to counter industry promotion of products harmful to health, particularly as investment by the industry in AI and other emerging technologies suggests their use will continue to grow.

History

Journal

Public Health Nutrition

Volume

25

Issue

5

Article number

PII S1368980022000490

Pagination

1291 - 1299

Publisher

Cambridge University Press

Location

Cambridge, Eng.

ISSN

1368-9800

eISSN

1475-2727

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC