Welcome to the Parallaxis Blog
Explore our latest thoughts on all things related to AI, Machine Learning, and the importance of data .
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AI - The Rote Machine
AI's perceived intelligence is often overstated. It is only as “intelligent” as the data it's trained on. Poor quality and unfit data lead to “incorrect”, unsupported, and potentially reputational affecting decisions. Actual progress in AI requires a relentless focus on data fitness, quality, governance, and fairness.
Ethics Is Not “One and Done”
Implementing ethics in Machine Learning is not a one-and-done effort. Organizations must build trustworthy systems that serve their customer’s best interests fairly. Ultimately, ethically designed machine learning models align with compliance and regulations while also avoiding harmful outcomes.