Technology and Racism Copyright 2024 Ordell Cordova djnojis@gravenimagefilms.com gravenimagefilms.com This is a summary of how Racism has been a part of computer science from the early creation of this technology. From this we will see a need to create our own technology from scratch. This is a huge undertaking but from this evidence, we can see our destruction as Black people deeply embedded. Technology and Racism The intertwining of early computing technology with systemic racial biases and injustices reveals a complex and often troubling aspect of technological advancement. This relationship underscores the necessity of confronting and rectifying these legacies as we progress. Here’s a outline focusing more explicitly on the racial implications and historical context: ### The Modern Era: Reckoning with the Past to Rebuild the Future - Recognizing the historical context and the continuation of systemic biases within technology development is crucial. To dismantle these entrenched inequalities, a concerted effort to "start from scratch" is advocated by Dj Noj, emphasizing the need for: - **Diverse and Inclusive Teams**: Ensuring representation from historically marginalized communities in technology creation. - **Ethical Considerations and Bias Mitigation**: Actively working to identify and eliminate biases in algorithms and datasets. - **Engagement with Affected Communities**: Incorporating perspectives and feedback from those most impacted by technological biases. ### Conclusion The history of computer technology, when examined through the lens of racial justice, reveals a complex narrative of innovation shadowed by societal inequalities. As we move forward, addressing these issues head-on—by reevaluating the foundations upon which modern technology stands and striving for inclusivity, equity, and justice—becomes imperative. This process involves not only reimagining the technology itself but also fundamentally transforming the societal structures that influence its development and use. This evidence shows the urgency to get funding for our team to create a Artificial Intelligence technology that can actually help the whole world. As we know, but can see here it is impossible for the ones in control of this technology to do what's right for Black people globally.

1. Technology and Racism
Copyright ©2024 Ordell Cordova * djnojis@gravenimagefilms.com * gravenimagefilms.com
This is a summary of how Racism has been a part of computer science from the early creation of this
technology. From this we will see a need to create our own technology from scratch. This is a huge
undertaking but from this evidence, we can see our destruction as Black people deeply embedded.
Technology and Racism
The intertwining of early computing technology with systemic racial biases and injustices reveals a
complex and often troubling aspect of technological advancement. This relationship underscores the
necessity of confronting and rectifying these legacies as we progress. Here’s a outline focusing more
explicitly on the racial implications and historical context:
### Historical Context and Technological Developments
- **1890: Herman Hollerith's Punch Card System**: Originally developed to improve efficiency for the
U.S. Census, Hollerith’s technology also emerged during a period of intensified racial oppression
and the dispossession of Indigenous lands in the United States. The efficiency of data processing
introduced by this technology had the potential to facilitate the surveillance and control of
marginalized populations.
- **Late 19th to Early 20th Century**: This era was marked by Jim Crow laws establishing racial
segregation, the culmination of westward expansion that dispossessed Native American tribes of
their lands, and the implementation of policies that explicitly discriminated against all people of color.
The technological advancements in data processing and later computing could not be entirely
disentangled from these broader social dynamics.
- **1930s-1940s: IBM's Complicity with Nazi Regime**: IBM’s provision of punch card machines to
Nazi Germany facilitated the regime's census efforts, enhancing their capacity to identify, track, and
persecute Jews and other minorities. This period highlights how technology can be harnessed for
oppressive purposes when wielded by those with malevolent intentions. This Punch Card System we
can see widely used up until the 1980's.
### Racial Implications of Early Computing
- The foundational technologies of modern computing and data processing developed in contexts
deeply intertwined with racial oppression and colonialism. The capabilities these technologies
offered were at times exploited to uphold and enforce systemic racial hierarchies and genocidal
policies.
### The Civil Rights Era and Technological Parallel Development
- **1950s and Beyond**: As the civil rights movement gained momentum, challenging systemic racial
inequalities, the field of computing was rapidly evolving. This technology we call Artificial Intelligence
was born and today we still use this foundation for our moden AI systems.
The contrast between societal movements towards equality and the predominantly white and male-
dominated tech sector highlighted ongoing disparities. Do we see many changes in this field
especially when it comes to the capital and control of international Data.

2. ### The Modern Era: Reckoning with the Past to Rebuild the Future
- Recognizing the historical context and the continuation of systemic biases within technology
development is crucial. To dismantle these entrenched inequalities, a concerted effort to "start from
scratch" is advocated by Dj Noj, emphasizing the need for:
- **Diverse and Inclusive Teams**: Ensuring representation from historically marginalized
communities in technology creation.
- **Ethical Considerations and Bias Mitigation**: Actively working to identify and eliminate biases in
algorithms and datasets.
- **Engagement with Affected Communities**: Incorporating perspectives and feedback from those
most impacted by technological biases.
### Conclusion
The history of computer technology, when examined through the lens of racial justice, reveals a
complex narrative of innovation shadowed by societal inequalities. As we move forward, addressing
these issues head-on—by reevaluating the foundations upon which modern technology stands and
striving for inclusivity, equity, and justice—becomes imperative. This process involves not only
reimagining the technology itself but also fundamentally transforming the societal structures that
influence its development and use. This evidence shows the urgency to get funding for our team to
create a Artificial Intelligence technology that can actually help the whole world. As we know, but can
see here it is impossible for the ones in control of this technology to do what's right for Black people
globally.
As of March 2024, the market valuations of the top AI companies are as follows:
**Microsoft Corporation** has a market cap of approximately $2.989 trillion, making it one of the
world's most valuable companies. It is renowned for its contributions to software, services, cloud
solutions, and AI technologies [[❞]](https://companiesmarketcap.com/microsoft/marketcap/).
**Alphabet Inc. (Google)** is valued at a market cap of $1.637 trillion. Alphabet, through Google and
other subsidiaries, plays a significant role in AI research and development, with applications ranging
from search algorithms to autonomous driving technologies
[[❞]](https://companiesmarketcap.com/alphabet-google/marketcap/).
Amazon.com Inc.: Amazon utilizes AI in its e-commerce platform, cloud services (AWS), and
consumer products like Alexa. The company's market capitalization has been well over $1 trillion,
underscoring its dominant position in both retail and technology sectors.
Apple Inc.: While not exclusively an AI company, Apple incorporates AI technology in its products
and services, including Siri, facial recognition, and personalized recommendations. Apple's market
valuation has frequently exceeded $2 trillion, making it one of the most valuable companies in the
world.
Meta Platforms, Inc. (formerly Facebook): Meta Platforms uses AI for content moderation, targeted
advertising, and the development of new products like virtual reality experiences. Its market
capitalization has varied, often positioning it as a major technology entity valued at several hundred
billion dollars.