- Lies on a Budget
- SIPHO Performance
- UAL Creative Strategy 2022-2032
- Legally AI
- Mimisis
- Lasdun Extended Typography
- Pop Up Lookbook
- Run - The Game
- ‘Not I’ Title Sequence
Artificial Intelligence has long been associated with sleek machinery and a future-oriented vision. However, the reality of AI today is far more complex. Many AI systems perpetuate outdated and harmful ideologies, reinforcing racial and gender biases rather than eliminating them.
A 2017 Data USA study revealed stark inequalities in AI education: 73.1% of degree recipients in the U.S. were men, with 63.6% of them being white. Meanwhile, only 1.42% of degrees were awarded to African Americans. With such an imbalance in the field, it’s unsurprising that AI systems often reflect biases deeply embedded in society. Yet, this issue extends beyond AI—it highlights the broader need for systemic reform in education and beyond.
One striking example of AI bias occurred in 2014 when Brisha Borden, a Black woman, was arrested for petty theft. A risk-assessment AI program predicted she was highly likely to reoffend. In contrast, Vernon Prater, a white man with a record of armed robbery, was rated as low-risk. Two years later, Borden had no further offenses, while Prater was arrested for another crime—proving the algorithm’s racial bias. This is just one of many cases where AI-driven decision-making disproportionately penalizes marginalized groups.
My interest in AI stems from its immense potential when used responsibly. While I’m fascinated by how AI processes information, I believe it’s equally important to critique where this technology falls short. By exploring AI through the lens of race and gender politics, I aim to advocate for equality—both through my design work and my writing. Technology should be a tool for progress, not a mechanism that reinforces injustice.