Ethical practices
There have been rapid advancements in GenAI, but at the same time, they raise new challenges and risks. Some of these are as follows:
- Would my data be used with the provider?
- Could it hurt the legal rights of the company?
- Will the model hallucinate and provide non-sensical, biased, or factually incorrect responses in production?
- Would the GenAI models inadvertently use or reproduce intellectual property, such as copyrighted text or images, during training or generation?
Let us cover these challenges and best practices that can be adopted.
Veracity
Veracity, or the truthfulness and accuracy of information generated by AI models, is a crucial aspect of ethical practices in the field of GenAI. When models produce outputs that are verifiably false or hallucinated, it can lead to the spread of misinformation and undermine trust in the technology. One common example of hallucinations is when an AI model is asked to provide information about...
