Workshop CFP: FEAST: Food, Equity, AI and Safety

We invite submissions of full papers and extended abstracts to “FEAST: Food, Equity, AI and Safety”, a first-edition workshop at DPH 2027.

Poor diet is one of the leading modifiable causes of ill health, and this burden is unequal. What people eat, and whether they can afford, understand and prepare healthy food, depends on income, education, employment and health status, the social determinants of health. It also depends on the food environment, including, but not limited to, exposure to ultra-processed and hyper-palatable foods, food marketing and labelling, and the digital platforms through which food is advertised, ordered and discussed. Generative AI is quickly becoming part of this picture: people increasingly ask AI-powered tools for meal plans, dietary guidance and health advice. These tools carry risks, and these risks fall hardest on people with low literacy, language barriers or limited access to care, who are least able to spot and recover from errors. Language models can give confident but wrong advice, reproduce cultural and socioeconomic bias, and mishandle sensitive data. Yet for digital public health these tools are also a real opportunity, offering personalised, multilingual support at low cost and at scale.

FEAST brings together researchers and practitioners in public health, nutrition and clinical care, digital health and AI, the social sciences and policy to ask how to design, validate, govern and evaluate these tools for the people who need them most, and how AI-mediated food, nutrition and skills interventions can reduce, or widen, health inequalities. Better tools alone are not enough: many harms arise when people use AI without the training or literacy needed to recognise its limits. FEAST therefore also asks which guidelines and policies are needed, for developers, health and care professionals, educators, public bodies and users alike, to protect the most vulnerable from the harms of uninformed use. The workshop combines a keynote, a paper session and a practice track of real-world case studies, each followed by open discussion. The keynote will be given by Prof. Paola Pisano, Professor of Business and Innovation Management and Director of HighESt Lab at the University of Turin (Italy), and former Italian Minister for Innovation and Digitalisation.

Click here for full information on the workshop.

!! Deadlines !!

Workshop Call for Papers (CFP) – Submission deadline23 December 2026
Workshop Call for Papers (CFP) – Notification deadline28 January 2027
Camera-ready deadline7 April 2027

Themes of interest

The organisers encourage authors to submit an original full paper or an extended abstract on the following topics, including but not limited to:

  • generative AI for nutrition literacy and affordable, healthy eating
  • personalised AI dietary guidance for patients: safety, validation, clinical oversight and trust
  • digital nutrition support during and after medical treatment, such as cancer therapy, and for people living with chronic conditions
  • equitable access to information on food assistance, public services and food security
  • culturally aware AI for diet and nutrition: religious and ethical dietary rules, fasting practices, regional and seasonal food availability, heritage cuisines of migrant and diaspora communities, and local meal traditions
  • data and AI for studying food environments: food processing and hyper-palatability, product-level risk indicators, food marketing, labelling and food delivery platforms
  • auditing the nutritional quality and processing level of AI-generated recipes and recommendations
  • nutritional misinformation and AI-generated food content online
  • bias in AI systems with respect to food cultures, languages and socioeconomic groups
  • safeguards for vulnerable users: privacy, emotional well-being and eating-disorder risks
  • governance of health and dietary data, regulation and accountability for AI dietary tools
  • AI literacy and training for patients, caregivers and professionals, and policies that protect vulnerable users from uninformed use of AI dietary tools
  • accessible design: voice, low-literacy, multilingual and messaging-based interfaces
  • participatory and mixed-methods evaluation with patients and communities
  • collaboration between clinicians, dietitians, chefs and technologists, and the role of food enjoyment in quality of life

Case studies and practitioner reports from health services, clinical teams, public bodies, community organisations and industry that build, deploy or use AI dietary tools are particularly welcome as extended abstracts.

Submission guidelines

We encourage authors to submit either a full paper or an extended abstract. Authors of accepted papers and abstracts will be invited to present at the workshop and will be included in the DPH2027 proceedings – abstracts in Frontiers and full papers will be submitted for possible inclusion into IEEE Xplore.

For submitting a Full Paper, please follow the instructions:

  • All submissions must be original and not simultaneously submitted to another journal or conference.
  • The papers must range between 4‑8 pages, including references and any appendices.
  • Papers should conform to the IEEE double column format: https://www.ieee.org/conferences/publishing/templates.html
  • Papers must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
  • All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – FEAST: Food, Equity, AI and Safety” track.
  • Please paste your Abstract in the Abstract field in the Easychair system for ease of processing and review allocation.

NOTE that:

  • Full Paper submissions will be reviewed by three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
  • All accepted papers will have their own DOI.
  • Accepted papers will need to incorporate reviewers’ comments and re-submit their paper by the Camera-ready deadline. Instructions will be provided.
  • Papers accepted for publication must have at least one author registered and must be presented in person at the conference in order to be considered for publication by IEEE Xplore. Papers from no-show authors will be removed from the proceedings.
  • An accepted paper may be selected for either oral or poster presentation depending on review score and topic specificity.

For submitting an Extended Abstract, please follow the instructions:

  • Please format your submission using Times New Roman, 12 pt font size, with justified alignment. The submission must not exceed 1000 words, excluding the reference list. References are compulsory and should be included in the submission. A maximum of two figures or tables may be included.
  • Extended Abstracts could follow the standard structure: Introduction, Background, Methods / Datasets, Results, and Conclusion. Alternatively, computer science and engineering abstracts can follow alternative structure such as Introduction, Background, Framework / Architecture, Implementation, Results (if available), Novelty and Challenges and Conclusion.
  • Submissions must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
  • All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – FEAST: Food, Equity, AI and Safety” track.
  • Paste your first section (Aims/Abstract/Overview) to the Abstract field in the Easychair system for ease of processing and review allocation.

NOTE that:

  • Abstract submissions will be reviewed by two to three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
  • Accepted Extended Abstracts will have to incorporate reviewers’ comments and re-submit their abstract by the Camera-ready deadline. Instructions will be provided. 
  • Accepted submissions may be selected for either oral or poster presentation depending on review score and topic specificity.

For teams of co-authors with several accepted contributions, a different author must register for each.

Contact

All questions about submissions to the workshop should be emailed to the organisers:

General questions about the conference can be sent to support@dphconf.org.

SUBMISSION

Submission is via EasyChair.

SUBMISSION

Copyright © 2026. Designed by WPlook Studio.