Beyond Male and Female: How Transgender and Nonbinary Identities Show Liberation Through Hybridity

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Beyond Male and Female: How Transgender and Nonbinary Identities Show Liberation Through Hybridity

One powerful example of fluid identity and liberation through hybridity today is the growing visibility of transgender and nonbinary identities. Around the world, more people are openly rejecting the strict boundary between "male" and "female." Instead of seeing gender as fixed and biological, many now understand it as fluid, personal, and shaped by both culture and self-expression.

This real-world shift connects closely to Donna Haraway's cyborg theory. In "A Cyborg Manifesto," Haraway 1985/2016) argues that traditional boundaries such as human/machine, male/female, and natural/artificial-are breaking down. She writes that the cyborg is a figure that "skips the step of original unity" and rejects rigid categories (Haraway, 2016). In simple terms, she believes we do not have to fit into old boxes. We can build new identities by mixing and crossing boundaries.

We also see this idea in Janelle Mone's album The ArchAndroid. In her music and storytelling, Mone creates the character Cindi Mayweather, an android who does not fully belong to one group. The android is both human and machine. Through this hybrid identity, Mone explores freedom, resistance, and self-definition. She uses science fiction to imagine a world where difference is not punished but celebrated. Today, transgender and nonbinary communities reflect this same kind of boundary-crossing. The line between male and female is no longer treated as natural and permanent by everyone. According to the Pew Research Center (2022), about 1.6% of U.S. adults identify as transgender or nonbinary, and younger generations are more likely to identify this way (Brown, 2022). This shows a generational shift toward fluid identity.

Technology also plays a role in this liberation. Social media platforms like Instagram and TikTok allow people to share their pronouns, document transitions, and build supportive communities. Online spaces help people experiment with identity in ways that may feel safer than offline spaces. This reflects Haraway's idea that humans and technology are deeply connected. Our identities are shaped not only by biology but also by digital tools and networks.

At the same time, this movement challenges major boundaries: • The boundary between biological sex and gender identity • The boundary between private identity and public recognition • The boundary between "natural" and "constructed" categories

However, this real-world example also differs from Haraway and Mone in some ways. Haraway's cyborg is symbolic and theoretical. Mone's android is fictional. But transgender and nonbinary people face real social and political struggles. For example, debates about healthcare access and legal recognition show that boundary collapse is not always welcomed (ACLU, 2023). Liberation through hybridity can create backlash because it threatens traditional power structures.

Looking 20-30 years into the future, fluid identities may become even more common. Younger generations already show greater acceptance of gender diversity (Brown, 2022). Technology may also expand possibilities. For example, virtual reality and digital avatars could allow people to express gender in new ways beyond the physical body. Advances in medical technology may make gender-affirming care safer and mole accessible.

We may also see new forms of resistance and freedom. Instead of fighting only for inclusion within old systems, future movements might redesign institutions entirely-such as removing gender markers from IDs or creating more gender-neutral spaces. The idea of identity itself may shift from something fixed to something flexible and evolving. Still, challenges will remain. Liberation through hybridity does not automatically create equality. As Haraway reminds us, cyborg identities exist within systems of power. The question is not only whether boundaries collapse, but who benefits from that collapse.

In conclusion, the rise of transgender and nonbinary identities shows how fluid identity can be a source of liberation. Like Haraway's cyborg and Mone's android, these identities challenge old categories and imagine new futures. They show that boundaries are not natural laws-they are social constructions that can change. If current trends continue, the next generation may live in a world where identity is less about fitting into boxes and more about creating yourself.

References

ACLU. (2023). Mapping attacks on LGBQ rights in U.S. state legislatures. https://www.aclu.org

Brown, A. (2022). About 5% of young adults in the US. say their gender is different from their sex assigned at birth. Pew Research Center.

Haraway, D. (2016). A cyborg manifesto. In D. Haraway, Manifestly Haraway (pp. 3-90). University of Minnesota Press. (Original work published 1985).

Monáe, J. (2010). The ArchAndroid [Album]. Bad Boy Records.

That Wasn’t Me

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Intro

With the increase of technological abilities arrives new evils. Deepfakes are AI generated images, videos, or audio that make people appear to say and or do things that never actually happened. Deepfakes used for the purpose of producing pornographic content is especially dangerous . These harmful images and audios transcend any singular country. This problem is worldwide and is growingly difficult to contain without violating any rights or banning technology completely. Deepfake technology is capable of making content based on a description as well as curating images of a specific person of your choosing doing actions based on your own fruition as well. Deepfake technology heavily relies on artificial neural networks where computer systems recognize patterns in data. These neural networks feed images and videos and are essentially “trained” to dissect it and replicate those same patterns. The possibilities are endless and hard to contain, thus making the dangers and impact insurmountable.

Breakdown

When we take a step back and examine deepfake we have to consider who these harmful videos benefit. For starters the tech companies that make it possible for deepfakes to be generated are indirectly benefiting. An increase in deepfakes leads to an increase in the demand for AI tools, causes more platform engagement, and ultimately ends in a substantial economic benefit by making them more money. Aside from the tech companies, the users benefit. The users get to see content with their person or people of choice without having to work out the logistics of making their dreams a reality. They can see their favorite celebrities, friends , neighbors, or even coworkers in 18+ materials in the drop of a dime. Additionally we can peel back another layer and the people creating this content can in return potentially blackmail and extort their victims by threatening to release the content. Not only do the victims of these contents suffer but the increase of misinformation affect societies ability to trust digital images. enter image description here Questions

As deepfake technology continues to become more advanced it poses a serious threat and evokes us to think of current and future repercussions. For instance how can we as humans accurately decipher AI generated content from real content? If 18+ material can be made so easily, what's to stop content creators from targeting children, and what does that mean for rates of sexual crimes committed against children for the future? What's to stop people from claiming that real content is AI generated?Also as we see the damage this technology is capable of dealing, how do we begin to regulate harm without having to ban technology as a whole?

Statistics

In the article Social, legal and ethical implications of AI-Genrated deepfakes pornogrpahy on digital platforms: A systematic literature review, researchers conducted a study to see the statistical findings of how big of an impact deepfake technology has on our society. Research showed that from 2019 to 2023 there has been a 550% increase in deepfake videos. Of that, 99% were of pornographic nature, and within that 99%, 98% of the videos produced were depicting content of women and young girls. These findings indicate a clear pattern of gender based targeting. The curation of 18+ material using AI has a heavy impact on its victims. Many women within this study were found to have suffered deep psychological trauma leaving side effects of anxiety and emotional distress, which is exacerbated as the content is spread onto platforms that are difficult to regulate and control. No matter the social status of the victim, deepfakes have the potential to harm not only the person's public image, but also their careers. enter image description here Counteract

As difficult of a problem deepfakes are to tackle, there have been attempts to contain and reduce these cyber crimes. In May of 2025 President Donald Trump signed the Take It Down Act. This law was created to enact stricter penalties for the distribution of deepfakes, as well as revenge porn and other non consensual 18+ content. The fundamentals behind the act is that if a victim contacts a platform to which their deepfake content has been posted on, the platform has 48 hours to take it down and take steps to erase all duplicates as well. The penalty for failure to take down the material is mandatory restitution and criminal penalties, including prison, a fine or both.

Connection

Deepfakes can be linked to cyberpunk because we have described technology dynamics within our society. We've discussed corporations overriding ethics and technology exploiting bodies through high tech, low life principles. As well as identity becoming fragmented and commodified. More specifically Deepfakes can be connected to the second industrial revolution. Just as the second industrial resolution produced automation and new technologies that fundamentally changed how images were produced and distributed, deepfakes represent a modern version of those same principles. In the second industrial revolution machines relied on human labor, these deepfake technologies still need to rely on a human creator to prompt them. Both the second industrial revolution and deepfake technology demonstrated a technological shift which led to questions about authenticity and control over identity.

Sources

Furizal, F., Ma’arif, A., Maghfiroh, H., Suwarno, I., Prayogi, D., Kariyamin, K., Lonang, S., & Sharkawy, A.-N. (2025). Social, legal, and ethical implications of AI-Generated deepfake pornography on digital platforms: A systematic literature review. Social Sciences & Humanities Open, 12, 101882. https://doi.org/10.1016/j.ssaho.2025.101882
AP News. (2025, April 29). President Trump signs Take It Down Act, addressing nonconsensual deepfakes. What is it? AP News. https://apnews.com/article/take-it-down-deepfake-trump-melania-first-amendment-741a6e525e81e5e3d8843aac20de8615
U.S. Government Accountability Office. (2020, October 20). Deconstructing deepfakes—How do they work and what are the risks? U.S. GAO WatchBlog. https://www.gao.gov/blog/deconstructing-deepfakes-how-do-they-work-and-what-are-risks
TAKE IT DOWN Act, S. 146, 119th Cong. (2025). Congress.gov. https://www.congress.gov/bill/119th-congress/senate-bill/146