About Us

We take a human-centric approach to AI research and encourage others to explore what it means to be human because AI certainly will. As machines continue to learn and self-teach rapidly, the creative process becomes increasingly difficult to decipher. How can we problem solve that? Potential solutions lie in integrating Blockchain with AI and an emerging new alternative to standard multi-layer perceptrons, Kolmogorov Arnold Networks.

We’re also asking ourselves such questions as:  

1. How does the rapid proliferation of Generative AI and LLMs broaden the attack surface?
2. How can inherent bias in ML data encode structural problems in society?
3. How can we ensure training data represents a diverse population for accurate algorithmic prediction?
4. How can we guard against an alteration of our minds and emotions when engaging with conversational AI?  

Neuzida’s Research Engineer is a certified Microsoft Azure AI Engineer, Data Scientist, and Blockchain Developer who works in collaboration with security experts to tackle complex machine learning security issues.

Current projects include bug bounties, data quality, and AI red teaming.

We’d be happy to connect via info at neuzida.io