EXplainable Artificial Intelligence (XAI) is a field dedicated to understanding how AI models arrive at their decisions. XAI techniques like SHAP provide crucial insights into these decisions, offering transparency and trust in AI applications. By uncovering the 'why' behind AI choices, we can mitigate automation bias, ensuring that humans make informed judgments when relying on machine intelligence.
Read MoreIn the vast world of programming, there are hundreds of languages, each designed for different uses and specialized in various areas. Experienced programmers have their favorite language, knowing when and how to use it effectively. But for those less familliar, understanding the differences between languages can feel overwhelming. This blog outlines the 11 most popular programming languages used today alongside their use-cases, strengths and weaknesses.
Read MoreChatbots have been around for decades, from the very early therapist ELIZA (1966) through to the very modern virtual assistant Siri. Over time they have become increasingly sophisticated tools that allow us to interact with machines in a natural and efficient manner. More recently, the buzz around Open-AI’s latest chatbot ChatGPT may have caught your attention. Launched in November 2022, its impressive language processing abilities have taken the internet by storm. But why is this? In this blog post we will explore what is a “GPT”, how can ChatGPT be used, and why we should be aware of its limitations?
Read MoreWhat is augmented intelligence and how does it compare to artificial intelligence? The weaknesses of algorithms in application, such as the potential for biases, is not a new concept. How is it that Augmented Intelligence differs and could this be the way forward for innovative information processing and decision making?
Read MoreIn this article, we overview some of the cognitive biases that exist and how they impact various stages of a company’s hiring process. There are in fact well over a hundred distinct cognitive biases that affect how we think and judge. Cognitive biases are, simply put, a systematic deviation from rationality in our judgements and thoughts.
Read MoreWe make—unconscious or conscious—decisions that tend to neglect the rules of probability and sometimes even defy logic outright. These lapses in our judgement are known collectively as cognitive biases. While they can be useful in situations where we have limited time or copious amounts of information, they often lead to largely sub-optimal judgements
Read MoreIn this blog post we discuss how and under what circumstances our brains can fail us, how computer algorithms can come to the rescue, the dangers of algorithmic biases and how to avoid them.
Read MoreUnconscious bias is the leading cause for the lack of diversity within the workforce. How do you detect and correct for bias?
Read MorePsychometric testing has been used for many applications, though significant challenges exist. Can they be reliably used to predict on-the-job performance or indeed intelligence?
Read MoreSeveral decision-making factors limit us today: speed accuracy trade-off, knowledge-base, cognitive-emotional interactions and prediction. What’s the impact?
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