Personalised AI nutrition: Qina launches guide for ethical application

Entitled “The ethics of AI at the intersection of nutrition and behaviour change”, the new seven-step guidance​ aims to address safety and privacy concerns, whilst underlining AI’s potential to increase access and affordability to personalised nutrition solutions.

It also highlights the potential for AI to efficiently analyse large datasets and identify hidden patterns which may enable a shift towards preventative health solutions using nutrition.

The report concludes that the development of ethical AI solutions requires the training of systems using data representative of various cultures and preferences, utilising continued human oversight and stakeholder collaboration, whilst ensuring compliance with AI regulation. 

“The reason why I am proud of this paper is that with all the frameworks that have been published on the ethics of AI, none have focused specifically on nutrition,” said Mariette Abrahams, CEO and founder of Qina. “With consumers prioritizing their health, and we all need to eat, we need to make sure that entrepreneurs creating nutrition and wellness solutions, do not underestimate the impact these digital tools have on our health, behaviours and society.

“We hope that companies will use this framework to assess internally where they are with regard to the 7 pillars and where they will need to improve or seek external help.”

AI issues and opportunities

The personalised nutrition market could expand to as much as $64 billion by 2040 (UBS, 2020​).

Paired with the recent surge in adoption of technologies such as wearables and the increasing implementation of AI within the health space, there is a renewed potential for the widespread application of personalised nutrition, according to Qina’s report.