He instead claimed that AI is “being manipulated by humans somewhere in India.” A podcast clip from the Jack Neel podcast featuring Chinese -Canadian academic, Jiang Xueqin, a.k.a. Professor Jiang has gone viral on social media after he claimed that artificial intelligence tools such as ChatGPT are not generating responses independently.
Human Oversight in AI Development
Recent discussions have highlighted the role of human input in the development of AI models like ChatGPT. An expert compared ChatGPT’s functioning to supervised machine learning used in facial recognition, emphasizing that AI cannot achieve complete independence due to the human-designed algorithms and their parameters. “What people don’t appreciate is humans are the ones who are designing these weights. The algorithm is trying to figure out what these weights should be. ChatGPT does the same bloody thing. Maybe it’s 90% AI, 10% human, but it’s still 10% human,” he noted.
Large language models, including ChatGPT, generate text by predicting one token at a time, relying on neural networks that have been trained on extensive datasets. According to TechRadar, while these models can analyze vast amounts of text to understand grammar, factual information, and basic reasoning, human involvement remains crucial throughout the development process.
Fine-tuning of models like ChatGPT often requires human reviewers who provide feedback to shape the model’s responses, ensuring they are more appropriate, helpful, and aligned with user expectations. This collaborative approach between AI and human reviewers underscores the importance of human oversight in achieving effective AI solutions.
The claim is misleading because it conflates human involvement in building AI systems with how they generate responses after deployment, according to experts. The remarks, widely shared on X, prompted a wave of reactions as users questioned Jiang’s claims.
