Artificial Intelligence is a highly trending topic, with a lot of discussion focusing on its risks, including highlighting the need for Multimodal AI and dialogue around how AI will impact the workforce. LinkedIn, in particular, has been a hub for various perspectives and predictions regarding AI's influence on the workplace. In this blog, we delve into the findings of recent surveys and aim to debunk some of the prevalent narratives circulating in the media.
Read MoreEXplainable 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 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?
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