bias.ai

bias.ai helps developers, and hobbyists create AI models that are free of any racial, gender, or other forms of bias. Together, let's shape a future where AI serves as a force for positive change.

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Inspiration

We were inspired to create bias.ai when we realized the increasing need to tackle biases in AI models, given the growing popularity of AI technology. As students, we recognized the importance of building a platform that empowers developers and hobbyists to create fair and unbiased AI models.

What it does

bias.ai is a platform that helps you identify and address biases in your AI models. Using technologies like Deno, Preact, and Tailwind, we built a user-friendly interface where you are currently able to do 2 things

  1. Remove biased records from your training data
  2. Evaluate your model on a "bias rating". With the power of GPT-3.5, bias.ai ensures that your AI models make unbiased and ethical decisions.

How we built it

The backend is written with Deno, while the frontend uses Preact, and Tailwind. These technologies made development a breeze and allowed us to craft a sleek and intuitive user interface. For the backend, we harnessed the power of GPT-3.5, a mind-blowing language model, to enhance the capabilities of our platform. We used TypeScript to ensure type safety and smooth development throughout the process.

Challenges we ran into

Throughout the development journey, we encountered our fair share of challenges. Integrating different technologies like Deno, Preact, and GPT-3.5 had its complexities. We had to troubleshoot and find workarounds to ensure smooth interactions between the frontend and backend. Additionally, fine-tuning the GPT-3.5 prompt took some trial and error.

Accomplishments that we're proud of

As students, we are extremely proud of what we have accomplished with bias.ai. It's our first time working with GPT-3.5, and integrating it seamlessly into our platform was a major achievement. We're also proud of the user experience we crafted using Preact, Tailwind, and TypeScript.

What we learned

Throughout the development process, we learned so much! We gained hands-on experience with Deno, Preact, Tailwind, GPT-3.5, and TypeScript. We deepened our understanding of frontend development, including UI frameworks, responsive design, and state management. We also discovered the power of GPT-3.5 in enhancing natural language processing capabilities. Additionally, we learned how to leverage TypeScript's type system to catch errors early and improve code quality.

What's next for bias.ai

Looking ahead, we have exciting plans for bias.ai. We want to continue expanding our platform's capabilities by exploring more advanced features and integrations. We aim to incorporate additional machine learning techniques, leverage the flexibility of Deno, and refine the user interface based on user feedback. Currently, both the features are pretty inflexible and not optimized for speed. We also envision collaborating with other students and developers to make bias.ai a thriving community-driven platform for unbiased AI development.

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