14 Risks and Dangers of Artificial Intelligence (AI)

AI and deep learning models can be difficult to understand, even for those who 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.

To make matters worse, AI companies continue to remain tight-lipped about their products. Former employees of OpenAI and Google DeepMind have accused both companies of concealing the potential dangers of their AI tools. This secrecy leaves the general public unaware of possible threats and makes it difficult for lawmakers to take proactive measures ensuring AI is developed responsibly.

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