Lack of AI Transparency and Explainability - Deepstash
 Lack of AI Transparency and Explainability

Lack of AI Transparency and Explainability

AI and deep learning models can be difficult to understand, even for those that work directly with the technology . This leads to a lack of transparency for how and why AI comes to its conclusions, creating a lack of explanation for what data AI algorithms use, or why they may make biased or unsafe decisions. These concerns have given rise to the use of explainable AI , but there’s still a long way before transparent AI systems become common practice.

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Hi! I'm Anu, 18 year old in love with reading, writing and being creative. I also love music and arts and crafts. The idea of spreading love, peace and happiness around keeps me going ♥️

With AI getting a new boost every year, the downsides of AI arent being spoken of enough, do check iut the complete article to read more about the dangers of AI

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