Artificial intelligence (AI) has become increasingly prevalent in our lives, with many AI tools available for various tasks. However, AI is not perfect, as evidenced by instances of AI systems providing inaccurate or biased information. One inherent issue with AI is its lack of 100% accuracy in real-world settings, as it relies on past data for predictions. Bias in training data can also lead to biased decisions by AI systems, highlighting the importance of balancing data sets to prevent discrimination. Additionally, AI systems trained offline may become outdated and inaccurate when faced with new dynamics. Online training can help keep AI systems up to date, but it also poses risks of potential instabilities. Furthermore, AI systems may struggle when the training data is not suitable for the task at hand, emphasizing the need for quality data and expert guidance in the data collection process. As users of AI technology, it is crucial to understand these issues to better comprehend AI’s capabilities and limitations in various aspects of our lives.
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Source link: https://theconversation.com/ai-is-not-a-magic-wand-it-has-built-in-problems-that-are-difficult-to-fix-and-can-be-dangerous-230878
AI’s inherent issues pose risks and challenges, not magic. #AIrisks
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