Can we Trust AI? No – But Eventually We Must
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The increasing use of artificial intelligence in business is problematic due to its reliance on unverified data and vulnerability to attacks. Understanding the limitations and weaknesses of AI is crucial to fully reap its benefits and mitigate potential risks.
Artificial intelligence is being used more and more in business, but it has two major problems. Firstly, it relies on unverified data, and secondly, it can be attacked and used against us. The primary issue with current AI is that it starts with a flawed foundation, scraping the internet for data which may contain falsehoods. This leads to biases and inaccuracies in its responses. The AI's operation is based on probability, not truth, making it prone to errors and 'hallucinations'. To fully benefit from AI, we need to understand its limitations and weaknesses. This includes recognizing the potential for 'model collapse' and taking steps to secure AI applications.
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