Lubna Alli

Introduction

Artificial intelligence (AI) within food delivery platforms like DoorDash and Uber Eats has redefined consumer interactions through personalized recommendations and variable fees. Although convenient, these practices raise significant ethical questions about discrimination and fairness: critics have raised concerns that users may experience different service access or pricing based on geographic, economic, or demographic profiles (Wright & Lim, 2020). This essay examines the ethical implications of AI-driven personalization in food delivery through lenses from classical and contemporary ethics, including Plato’s concept of the “Luxurious City,” Kant’s categorical imperative, and Carol Gilligan’s ethics of care, questioning whether these practices ultimately undermine consumer autonomy and equity in digital consumption.

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Ethical Analysis of AI Personalization in Food Delivery

Plato’s “Luxurious City” and the Excess of Personalization

Plato’s notion of the “Luxurious City” from the Republic critiques a society dominated by desires for luxury, which often leads to inequality and ethical erosion (Plato, trans. 2004). AI-powered food delivery platforms could contribute to this “luxurious city” paradigm if they continuously promote high-margin, luxury options, potentially limiting low-income users’ access to affordable choices. In doing so, an AI-driven prioritization of profit over equitable access risks creating a digital version of the “luxurious city,” encouraging excess while reinforcing social disparities (Turow, 2017). The disparity in food choices thus reflects Plato’s caution about unchecked desires and social division, suggesting that an unregulated pursuit of AI-powered personalization can lead to ethical failures within consumer culture.

Kant’s Universal Ethics and the Challenge of Price Discrimination

Kant’s categorical imperative, which holds that we should act only on principles that could be universally applied, raises ethical concerns about AI-based price discrimination in food delivery (Kant, trans. 1998). Critics have raised concerns that dynamic or personalized pricing, where it draws on demographic or behavioural data, could disadvantage marginalized consumers—clashing with Kantian ethics because it treats individuals merely as means to an end. Evidence on how common this is remains limited, but one study of a food delivery service in Singapore found that delivery charges varied with customer information such as device type and sign-up method (Wright & Lim, 2020). Where pricing selectively targets consumers based on socioeconomic status rather than treating them as ends in themselves, it contravenes Kant’s principle of fairness, and it raises broader concerns about AI-driven discrimination becoming normalized (Rieke et al., 2014).

Addressing biases in AI and promoting authentic consumer choice can contribute to a more equitable and conscientious landscape.

Carol Gilligan’s Ethics of Care in Tech-Driven Services

Carol Gilligan’s ethics of care highlights empathy and attentiveness, emphasizing relational ethics within community contexts (Gilligan, 1982). AI-driven personalization, however, often emphasizes efficiency and individualized experiences over relational ethics, limiting exposure to diverse options and reinforcing cultural silos (Noble, 2018). For example, a platform that keeps suggesting familiar cuisines based on past orders, rather than encouraging exploration, can diminish the communal values central to social well-being. Through Gilligan’s ethical framework, this lack of inclusivity can be seen as prioritizing convenience and profit over empathy, which underpins responsible technological development and consumer engagement.

Consumer Autonomy and Dependency

A paradox exists within AI-powered personalization: platforms that claim to enhance user autonomy can create dependency cycles through targeted notifications and promotional offers. Such algorithms use behavioural data to drive continuous engagement, keeping users in a closed-loop system of digital consumption (Zuboff, 2019). Foucault’s (1995) account of subtle, disciplinary power aligns with these practices, where choice becomes an illusion carefully shaped by underlying corporate interests. In Baudrillard’s (1994) terms, these structures offer a simulacrum of freedom, limiting actual choice within a framework controlled by tech companies. This dynamic cultivates dependency, calling into question the genuine autonomy food delivery platforms claim to provide and suggesting instead a manipulation of consumer behaviour under the guise of personalization.

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Conclusion

The ethical considerations surrounding AI personalization in food delivery reveal the complexities inherent in technology-driven consumer culture. Examined through the ethical frameworks of Plato, Kant, and Gilligan, it becomes evident that AI practices can perpetuate social inequities and foster dependency rather than genuine autonomy. As these platforms grow, integrating ethical safeguards that prioritize inclusivity and fairness is essential to create a balanced digital economy. Addressing biases in AI and promoting authentic consumer choice can contribute to a more equitable and conscientious landscape, encouraging food delivery services to evolve beyond mere profit-driven personalization.

References

• Baudrillard, J. (1994). Simulacra and Simulation (S. F. Glaser, Trans.). University of Michigan Press.
• Foucault, M. (1995). Discipline and Punish: The Birth of the Prison (A. Sheridan, Trans.; 2nd ed.). Vintage Books.
• Gilligan, C. (1982). In a Different Voice: Psychological Theory and Women’s Development. Harvard University Press.
• Kant, I. (1998). Groundwork of the Metaphysics of Morals (M. Gregor, Trans.). Cambridge University Press.
• Noble, S. U. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
• Plato. (2004). Republic (C. D. C. Reeve, Trans.). Hackett Publishing.
• Rieke, A., Robinson, D., & Yu, H. (2014). Civil Rights, Big Data, and Our Algorithmic Future. Upturn.
• Turow, J. (2017). The Aisles Have Eyes: How Retailers Track Your Shopping, Strip Your Privacy, and Define Your Power. Yale University Press.
• Wright, J., & Lim, Z. E. (2020, December 19). Same meal, different fees: Delivery charges vary in unexpected ways. The Straits Times (reprinted by NUS Faculty of Arts and Social Sciences).
• Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs.