We often say AI’s mistakes are "by design," but they’re really not. AI wasn’t built to fail in these specific ways—its errors emerge as a byproduct of how it learns.
But what if we actively use them as a tool instead of just tolerating AI’s weird mistakes or trying to eliminate them?
Here are some unexpected but potentially valuable use cases where treating AI mistakes as a form of bias—rather than just failure—could lead to new insights and innovations.
Read MoreA student recently asked: “How can AI transform the relationships between the U.S. and African countries?” The premise is compelling—AI has the potential to drive transparency, trade, and governance reform, resetting relationships on healthier grounds.
But we’ve seen this movie before.
Read MoreWe’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity landscape.
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