Thus, it is worth investigating safeguards specifically for generative AI language models. Some AI risks can be mitigated with guardrails. Intellectual property infringement: AI models are built on vast amounts of data, often published by other entities on the internet, potentially resulting in legal risks for employers.Language models learn from diverse online sources, including toxic comments, which may not accurately represent organisational perspectives but have yet to be fully eliminated from AI models. Bias perpetuation: AI algorithms could unintentionally perpetuate biases and discriminatory behaviours, raising ethical concerns.Misinformation: AI language models can "hallucinate", generating seemingly coherent output containing inaccuracies and even citing non-existent sources.For instance, recent news reports claim that employees at different organisations have leaked crucial data through ChatGPT. This could lead to legal complications and harm a company's competitive advantage. Confidentiality breaches: Employees may inadvertently input sensitive data into AI software, potentially resulting in leaks of confidential or competitive information.The concerns can be divided into user input and AI output risks: As apprehension grows surrounding AI language models like ChatGPT, some New Zealand organisations are opting to prohibit their use in an effort to mitigate potential risks.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |