Blog
Welcome to the CODEify blog! Here, we highlight the significance of diversity, representation, and empowerment within the realm of technology. Why does representation hold such importance? One of the main reasons that students are discouraged from technology is due to the lack of role models who come from a similar background. The consequences of the lack of diversity within the tech world are significant. For example, a tech environment can perpetuate unfavorable treatment towards minorities. Additionally, the implications extend to data bias, where underrepresented groups remain overlooked during the product design process. Our mission is to empower young students in the world of technology regardless of background. Through our articles, we will delve into the heart of representation in the tech world. Join us as we unravel the power of diverse role models, celebrating those who have paved the way and amplifying stories that inspire the next generation of tech enthusiasts.
Data Bias Against Women in Healthcare

I previously wrote an article about data bias against women and what I learned from reading Caroline Criado-Perez’s book Invisible Women: Exposing Data Bias in a World Designed for Men. In this article I wanted to focus on the impacts of data bias against women specifically in healthcare. In the era of advancing technology and data-driven decision-making, we cannot ignore the critical role data plays in shaping healthcare policies and treatment strategies. However, a darker reality lurks beneath the surface as data bias against women becomes increasingly apparent in the healthcare sector. This bias not only impacts the accuracy of diagnoses and treatment plans but also perpetuates gender-based disparities in medical research and outcomes...

Joy Buolamwini: Fighting Data Bias in AI

In the ever-evolving landscape of technology, Joy Buolamwini is a computer scientist, self-proclaimed code-poet, and activist who has become a prominent figure in the fight for ethical artificial intelligence (AI). Buolamwini gained widespread recognition through her groundbreaking work on bias in facial recognition technology. While working at the MIT Media Lab, she discovered that many commercially available facial recognition systems exhibited significant accuracy discrepancies across different demographic groups. What was even more alarming was the fact that these systems often performed poorly for individuals with darker skin tones and women. This finding led Buolamwini to spread awareness about and combat biases ingrained in AI algorithms...

Exploring Data Bias Against Women

Data refers to a collection of facts or statistics that are all related to each other. Every company collects many different types of data and uses it to analyze trends, project future values, and make informed decisions. Researchers must back up their claims with tests using data. The result of a researcher’s work is as good as their data. With limited data, it is hard to make informed decisions about the subjects left out. While data is so important, many groups of people have been left out. While data is so important, many groups of people have been left out of testing. One the groups that have been historically left out, and still are today, are women...

3 of The Most Important Women in Technology

The ever evolving and broad field of technology has been around ever since humans have. The field has recognized its notable pioneers and inventors, but being a woman in technology means it is harder to be recognized. Ada Lovelace, Hedy Lamarr, and Grace Hopper were all brilliant technological innovators and are responsible for many of the technologies we use everyday.

Augusta Ada Byron, more commonly known as Ada Lovelace was born in 1812 to poet Lord Byron and mathematician Lady Byron in England. At the time, studying mathematics was unusual for a woman, but her...

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