The rapid development and deployment of artificial intelligence (AI) has led to a growing concern about the impact of AI on society. One of the lesser-discussed consequences of AI is the rise of "AI gore," a term used to describe the traumatic and exploitative content that is being used to train AI models.
The training data for AI models often includes vast amounts of unfiltered and unmoderated content from the internet, including graphic violence, hate speech, and explicit material. This content is used to teach AI models to recognize and respond to various stimuli, but it also has a profound impact on the humans who are involved in the training process.
Many of the workers who are tasked with labeling and categorizing this content are from low-income countries and are often subjected to poor working conditions and low wages. These workers are frequently exposed to traumatic and disturbing content, which can have serious consequences for their mental health and well-being.
The rise of AI gore highlights the need for greater transparency and accountability in the development and deployment of AI. It also underscores the importance of prioritizing the well-being and safety of the workers who are involved in the training process.
Ultimately, the development of AI must be guided by a commitment to ethics and responsibility. This includes ensuring that the training data for AI models is carefully curated and moderated, and that the workers who are involved in the training process are treated with dignity and respect.
