The breathtaking speed of the development of generative artificial intelligence (AI) has initiated a new age of technical conquest which gives machines unbelievable abilities to produce human-like pieces of work regardless of what this work involves: be it text or images or audio and video.
Solutions like Generative AI for Software Development are accelerating innovation by assisting developers in writing code, generating documentation, and automating various tasks.
Generative AI is associated with many apprehensions, such as how fairness and biases are dealt with. The learned models that are trained on a variety of big datasets, might have biases embedded in the training set, and that might cause a significant output of biased and discriminatory information.
Nerdrabbit and Auxilio Bits expressed that rigorous control processes are essential to identify and remove biases in generative AI. Security of personal data and privacy concerns arise due to the extensive use of large datasets in AI models.
Collection
[
|
...
]