The use of generative AI tools like ChatGPT poses several significant risks. Key concerns include data privacy issues, as sensitive information input into these tools can be stored and potentially used to retrain models, possibly violating regulations like GDPR[1][3][4].
There are also legal and intellectual property risks, such as the potential for copyright infringement and unintentional plagiarism, as these models can generate content that may be derived from copyrighted material without clear attribution[1][3][4].
Accuracy and reliability are additional concerns, as generative AI models can produce “hallucinations” – factually inaccurate information presented as true – and may reflect biases present in the training data[1][3][4].
The distribution of harmful content, including offensive language or misleading information, is another risk, as these systems can generate content that does not align with a company’s ethical standards[2][4].
Furthermore, the lack of transparency and explainability in generative AI outputs can lead to mistrust and difficulties in understanding the basis for the model’s responses[2][4].
Ethical considerations, such as the potential for job displacement and the misuse of generative AI by malicious actors for phishing, propaganda, or other nefarious purposes, also need to be addressed[3][5].
To mitigate these risks, organizations must implement clear governance, ensure user education, and use multilayered countermeasures to prevent inappropriate outputs and protect sensitive information.
