By Marco Tulio Daza In the domain of economic and philosophical discourse, few individuals have left such a lasting impact as Adam Smith. Renowned for his seminal contributions summarized in “The Theory of Moral Sentiments” and “An Inquiry into the…
Unveiling the Limitations of ChatGPT in Education: The Risks of AI Hallucinations, Bias, Misinformation, and Disinformation
Generative AI has revolutionized content creation in diverse fields such as art, music, film, literature, and coding. Large Language Models (LLMs), like ChatGPT, have opened up new avenues for answering questions and generating text in response to natural language commands. However, LLMs face significant risks such as artificial intelligence hallucination, algorithmic biases, and the production of false or inaccurate information. I propose a few measures to mitigate these risks. By adopting these measures, we can enhance the trustworthiness and reliability of LLMs, ensuring that they fulfill their potential as powerful tools for content generation and knowledge dissemination.
An experiment using Generative AI. Using chatGPT and StableDiffusion I generated this blog post about cognitive learning theories.