Human dietitians vs. Artificial intelligence: Which diet design do you prefer for your children?

Jung, Min Ah; Lim, Chiehyeon; Lee, Changhun; Kim, Soohyeok; Kim, Jayun

doi:10.1016/j.jaci.2020.12.430

Cited by 2 publications

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Is AI Food a Gimmick or the Future Direction of Food Production?—Predicting Consumers’ Willingness to Buy AI Food Based on Cognitive Trust and Affective Trust

Xia,

Shen,

2024

Foods

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In recent years, artificial intelligence (AI) has been developing rapidly and has had a broad impact on the food industry, with food produced from AI-generated recipes already appearing to actually go on sale. However, people’s trust and willingness to purchase AI food are still unclear. This study builds an integrated theoretical model based on cognitive trust and affective trust, taking into account consumers’ quality value orientations, social norms, and perceived risks of AI food, with the aim of predicting and exploring consumers’ trust and acceptance of AI food. This study utilized the questionnaire method and 315 questionnaires were collected. The results of structural equation modeling (PLS-SEM) indicated that food quality orientation, subjective norms, perceived trust, and affective trust all had a significant positive effect on consumers’ purchase intentions. Perceived risk had a negative effect on affective trust and consequently on consumers’ purchase intention, but the effect on cognitive trust was not significant. The results also suggest that cognitive trust is the basis of affective trust and that consumer trust and acceptance of AI food can be enhanced by augmenting two antecedents of cognitive trust (food quality orientation and subjective norms). Possible practical implications and insights from the current findings are discussed.

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Is AI Food a Gimmick or the Future Direction of Food Production?—Predicting Consumers’ Willingness to Buy AI Food Based on Cognitive Trust and Affective Trust

Xia,

Shen,

2024

Foods

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Exploring the Ethical Implications of Generative AI in Healthcare

Kumar,

Dhalwal,

Chaudhary

2024

The Ethical Frontier of AI and Data Analysis

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This chapter critically evaluates the ethical challenges posed by the advent of generative artificial intelligence (GenAI) in healthcare. It investigates how GenAI's potential to revolutionize patient care and medical research is counterbalanced by significant ethical concerns, including privacy, security, and equity. An extensive literature review supports a deep dive into these issues, comparing GenAI's impact on traditional healthcare ethics. Through case studies and theoretical analysis, the chapter seeks to understand GenAI's ethical implications thoroughly, aiming to contribute to the development of nuanced ethical frameworks in this rapidly advancing area.

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Human dietitians vs. Artificial intelligence: Which diet design do you prefer for your children?

Cited by 2 publications

References 0 publications

Is AI Food a Gimmick or the Future Direction of Food Production?—Predicting Consumers’ Willingness to Buy AI Food Based on Cognitive Trust and Affective Trust

Is AI Food a Gimmick or the Future Direction of Food Production?—Predicting Consumers’ Willingness to Buy AI Food Based on Cognitive Trust and Affective Trust

Exploring the Ethical Implications of Generative AI in Healthcare

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