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Today, AI models wield tremendous power, yet they are often biased, inaccessible, and uninterpretable. We often deploy these models blindly, feeding data into a black box, and crossing our fingers in hopes that the outcomes align with our values. This makes it hard to trust AI models that can often hallucinate or reveal biases within the datasets they’ve been fed. On top of that, very few individuals even have the technical know-how and resources necessary to leverage this technology. This has created a gap between those who have access to AI and those who don’t. As this gap increases, questions of AI bias and alignment only become more important. As AI's role in our lives expands, so do its imperfections, forcing us to confront its issues of bias, explainability, and restricted access. This needs to change. It’s time to democratize AI, uncover the Blackbox, and make the most important technologies of our day accessible to everyone.
Through Symbolic Regression and an easy-to-access machine learning dashboard, we can make AI more accessible and interpretable for all.
Make sure to leave a comment on features and use cases you would like to see.
Let's Democratize AI
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