How Sterotypes are Learned
Artificial Intelligence (AI) and AI models such as GPT-4 are changing our understanding of tasks traditionally performed by humans, including problem-solving and language generation. GPT-4 can mimic human text but lacks "common sense" and can exhibit biases. Fact-checking should be done before publication, but data for AI may not be. Its decision-making is only as reliable as its training data. Limited by the data it's given, AI like GPT-4 cannot completely comprehend complex social issues. It may also "hallucinate" or produce information that is not grounded in its training. Complete and accurate information are needed to enhance AI's predictive accuracy and reduce stereotypical biases.