The Dilemma Between Euphoria and Freedom in Recommendation Algorithms

TL;DR

This paper explores the complex effects of recommendation algorithms on human experience, highlighting how they induce euphoria, authenticity, and influence personal identity, creating a dilemma between comfort and freedom.

Contribution

It provides a nuanced analysis of how recommendation algorithms shape human experience and identity, revealing a fundamental dilemma between reinforcing existing preferences and promoting new interests.

Findings

Algorithms induce euphoria and authenticity in users.

Recommendation systems influence personal identity and freedom.

A dilemma exists between reinforcing preferences and exploring new interests.

Abstract

Today's AI recommendation algorithms produce a human dilemma between euphoria and freedom. To elaborate, four ways that recommenders reshape experience are delineated. First, the human experience of convenience is tuned to euphoric perfection. Second, a kind of personal authenticity becomes capturable with algorithms and data. Third, a conception of human freedom emerges, one that promotes unfamiliar interests for users instead of satisfying those that already exist. Finally, a new human dilemma is posed between two types of personal identity. On one side, there are recommendation algorithms that locate a user's core preferences, and then reinforce that identity with options designed to resemble those that have already proved satisfying. The result is an algorithmic production of euphoria and authenticity. On the other side, there are recommenders that provoke unfamiliar interests and curiosities. These proposals deny the existence of an authentic self and instead promote new preferences and experiences. The result is a human freedom of new personal identity.