Creating an AI-generated selfie was a strange but insightful experience. Normally, a selfie involves quickly taking a photo and sharing it online. In this case, however, I had to describe myself through prompts and rely on artificial intelligence to generate an image. Instead of capturing a moment, the process involved constructing a representation of who I am.
To create my digital self-representation, I used an AI image generator like Artbreeder. I entered prompts describing my physical features, such as brown hair, and included media-related elements in the background to reflect my academic interests. The AI generated multiple versions, and I selected the one that most closely matched how I see myself
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This process felt less like taking a picture and more like designing an identity.
Even though I controlled the prompts, the AI still interpreted them and produced its own version of my description. The final image appeared polished and stylized, resembling a professional portrait rather than a casual selfie. This reflects how AI systems do not simply reproduce reality but actively reshape it through algorithms and training data. As James Chubb, David Reed, and Paul Cowling argue, there is often a lack of critical narratives surrounding AI, which can make these systems appear more neutral than they actually are (Chubb et al., 2022).
When comparing the AI-generated image to my real-life appearance, I noticed similarities and differences. While the image captured my general features, it also looked smoother and “perfect” than a typical photograph. In many ways, it felt like an idealized version of me. This observation connects to how people present themselves online. According to Erving Goffman, identity is something that individuals perform depending on their audience (Goffman, 1959). Social media platforms intensify this performance, as users carefully curate their images to create a desired impression.
This idea can be further understood through Rosalind Gill’s concept of self-surveillance. Gill suggests that individuals internalize societal expectations and monitor their own appearance to align with dominant norms (Gill, 2007). In the context of AI-generated selfies, this becomes even more complex. The prompts I chose were influenced by my own perceptions of how I should look, which are shaped by broader cultural standards. As a result, the final image reflects both personal choice and social influence.
Selfies also have broader cultural significance. In Selfies as Social Movements, Fannie Liu argues that selfies can challenge stereotypes and contribute to social change (Liu, 2019). By sharing images, individuals participate in conversations about representation and identity. This suggests that digital self-representation is not only personal but also social and political.
However, AI-generated selfies also raise ethical concerns. AI systems are trained on large datasets, which often contain biases. As a result, many AI-generated images reflect narrow beauty standards, emphasizing symmetry, smooth skin, and idealized features. These patterns align with Gill’s discussion of postfeminism, where empowerment is often framed through appearance and self-improvement rather than structural change (Gill, 2007).
These concerns are supported by research from Donghee Kim and Soyeon Kim, who found that exposure to idealized images on social media can negatively affect self-esteem and body image (Kim & Kim, 2021). AI-generated selfies may intensify this effect by producing even more polished and unrealistic images. Additionally, there are privacy concerns, as many AI tools require users to upload personal data without clearly explaining how it will be used or stored.
Another key aspect of this assignment was adapting academic ideas into a blog format. Traditional academic writing tends to be formal and structured, while blogs are more accessible and interactive. This reflects Marshall McLuhan’s idea that “the medium is the message” (McLuhan, 1964). The format of communication shapes how content is understood. Writing in a blog format allowed me to combine personal reflection with academic analysis in a way that reflects digital culture.
Overall, creating an AI-generated selfie encouraged me to think more critically about identity and representation. Unlike a traditional selfie, which captures a real moment, an AI-generated image is created through collaboration between human input and machine interpretation. The result is a hybrid form of identity that reflects both personal choices and algorithmic influence.
This raises an important question in digital culture: are we simply presenting ourselves online, or are we co-creating our identities with technology?
references:
Chubb, J., Reed, D., & Cowling, P. (2022). Narratives of artificial intelligence: Critical perspectives on AI and society. [Add journal/publisher details if provided in your course materials].
Gill, R. (2007). Gender and the media. Polity Press.
Goffman, E. (1959). The presentation of self in everyday life. Doubleday.
Kim, D., & Kim, S. (2021). The effects of social media on body image and self-esteem: A meta-analysis. Journal of Media Psychology
Liu, F. (2019). Selfies as social movements: Digital activism and representation.
McLuhan, M. (1964). Understanding media: The extensions of man. McGraw-Hill.
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