Issues with AI
AI is not a perfect tool. There are many issues and limitations, including:
- Bias and Discrimination
- Hallucinations
- Risks to confidential information
- Risks to intellectual property
- Human and Environmental Cost
Bias and Discrimination
The data that is used to train large language models is chosen and created by humans. This training data has the potential for bias and discrimination, which is then reflected in the outputs of GAI. Algorithms can also introduce bias based on their designs.
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Sex and Gender Bias in Technology and Artificial Intelligence by ISBN: 9780128213933Publication Date: 2022-05-21
Accuracy
The content generated by AI is not always accurate. Accuracy can vary depending on the model, training data, and the task you have asked the model to perform. It's important to verify any information that you receive.
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Confidential Information
AI can pose risks to confidential and private data. It's important to treat all conversations with unpaid AI models as public since you cannot control how the information is used once it has been added to a model's input. Never share sensitive information in an AI model.
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Intellectual Property
Generative AI poses risks to your own intellectual property and can infringe on the intellectual property of others. It's important to be cautious with the information you input and also be cautious when you use AI outputs.
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Human and Environmental Cost
There are human and environmental costs to AI, including its carbon footprint and the exploitation of workers.
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