After its August 2019 debut of its Apple Credit card, Apple and Goldman Sachs found themselves in an ethical AI/ML nightmare. Users pointed out what seemed to be a gender bias, with women apparently receiving lower credit limits than men. Read more on LinkedIn
In the domain of Artificial Intelligence (AI) and Machine Learning (ML), the call for transparency and interpretability is louder than ever. As AI systems become increasingly integrated into critical decision-making processes, the need for what is known as "Explainable AI" rises commensurately. Read More On Linkedin
As the power of AI becomes a fundamental force in decision-making, strategy formation, and operational efficiency, it's essential for decision makers to grasp the intricacies of AI behavior. One such intricacy is the concept of nondeterminism. Read More On LinkedIn
It’s no secret the social and security implications of powerful AI capabilities are very concerning for policy makers and businesses alike. While many of these vulnerabilities focus on the worst case scenario somewhere between a Terminator and Matrix style future. Read More on LinkedIn
The rapid evolution of artificial intelligence and machine learning (AI/ML) has ushered in a new era of technology, from personal assistants in our pockets to advanced data analytics informing business decisions. But the true powerhouse behind successful AI models isn't necessarily the algorithms—it's the data. In this exploration, we'll delve into the importance, intricacies, and [...]
Models, Models everywhere.. but what exactly are they? Understanding how AI/ML does what it does depends on understanding models. It might even save your life.. well not really... but definitely worth a read. Read on LinkedIn
Testing AI and Machine Learning is like trying to tame a wild cat with a laser pointer - it's a mysterious, unpredictable, and sometimes hilariously futile endeavor. It’s not about feeding data to a computer and watching it perform magic tricks. If you've ever found yourself knee-deep in algorithms and pulling your hair out (unless [...]
