Artificial intelligence (AI) can provide benefits to businesses, but it also poses a significant risk. Recently, two U.S. lawyers used OpenAI’s ChatGPT platform to carry out research for a case against Colombian airline Avianca. However, when the case was reviewed, it emerged that the lawyers had cited bogus cases that didn’t exist.
ChatGPT is one of the AI platforms that has access to a large amount of data in order to learn and improve. However, this means that there is a risk of exposing sensitive data to whoever runs these AI programs. Data can include sensitive company information, private data, regulated content, or data that could breach a non-disclosure agreement.
Furthermore, biased data can be baked into AI models and cause problems. Bias can originate from human bias, which is reflected in the data used to train AI systems. This could lead to inappropriate decisions based on AI recommendations, which has legal and ethical implications.
AI hallucinations are another issue to watch out for. This occurs when AI platforms, like ChatGPT, create content that is not necessarily accurate and can result in creating false content. AI researchers have dubbed this problem AI hallucinations.
As AI becomes more popular in businesses, professionals need to be aware of the risks associated with AI platforms. It is important to use AI platforms that are transparent about their sources and put safeguards in place, such as restricting access to sensitive data. Furthermore, businesses need to ensure they have policies in place regarding the use of AI to avoid legal and ethical issues.
Frequently Asked Questions (FAQs) Related to the Above News
What is the risk of using AI in the workplace?
The risk of using AI in the workplace is that it can expose sensitive data and include biased data in AI models, resulting in inappropriate decisions based on AI recommendations. It can also create false content, dubbed as AI hallucinations.
What is ChatGPT?
ChatGPT is an AI platform that has access to a vast amount of data to learn and improve. It has been used for research, but there is a risk of exposing sensitive data to whoever operates these AI programs.
What are biased data and how do they affect AI systems?
Biased data originates from human bias, which is reflected in the data used to train AI systems. It can cause problems such as appropriating decisions based on AI recommendations, which have legal and ethical implications.
What are AI hallucinations?
AI hallucinations occur when AI platforms create content that is not necessarily accurate and could result in creating false content.
What should businesses do to prevent legal and ethical issues associated with the use of AI?
Businesses should use AI platforms that are transparent about their sources and incorporate safeguards, such as restricting access to sensitive data. They should also establish policies regarding the use of AI systems.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
