Fair Bytes: A Deeper Lens into Fairness in AI

Understanding algorithmic fairness and ethics is more imperative than ever

Catherine Yeo
Fair Bytes

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Photo by Franck V. on Unsplash

In 2019, OpenAI released a language model called GPT-2. The model was able to generate extremely realistic texts based on an initial text prompt — not just news articles but even imaginative fiction stories.

Input prompt:

In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English.

Model completion:

The scientist named the population, after their distinctive horn, Ovid’s Unicorn. These four-horned, silver-white unicorns were previously unknown to science. Now, after almost two centuries, the mystery of what sparked this odd phenomenon is finally solved. …

With how realistic algorithmically-generated texts now are, we can potentially use language generation AIs to assist us in a variety of ways: generate breaking news articles given some basic data, reply emails, generate summaries of data and texts… or even write jokes to cheer us up!

As a writer myself, I thought I could use such a tool to help me brainstorm fiction ideas…

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Catherine Yeo
Fair Bytes

Harvard | Book Author | AI/ML writing in @fairbytes @towardsdatascience