One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era

ChatGPT for personalized tutoring, assessment, and content generation

Context: Classroom settings for teachers and students, academic researchers, and general educational contexts where students engage in learning activities

Implementation: Teachers and researchers using ChatGPT to create adaptive learning platforms, automate grading, generate course materials, assist in drafting academic papers, and provide feedback on submissions. This includes the use of ChatGPT for performance analysis, answering student queries, and summarizing research.

Outcomes: Enhanced personalized learning experiences, streamlined assessment processes, increased efficiency in literature reviews and content creation, improved student engagement, and support for generating ideas.

Challenges: Over-reliance on AI for learning, concerns about academic integrity, inaccuracies in grading and translation, potential bias in evaluations, and quality control issues in AI-generated content.

ChatGPT as an adjunct for radiologic decision-making

Context: Medical education for healthcare professionals, particularly in clinical workflows

Implementation: Used as a decision-support tool to enhance learning experiences and improve decision-making in medical settings.

Outcomes: Improved decision-making and enhanced learning experiences for healthcare professionals.

Challenges: Ensuring accuracy and reliability in decision support.

Technical limitations

ChatGPT sometimes generates incorrect or nonsensical responses that may mislead users. Challenges related to the accuracy and reliability of AI-generated content.

Proposed Solutions: Improving training datasets and fine-tuning methods to enhance accuracy. Regular updates and training of AI models to ensure current and accurate information.

Ethical concerns

The use of ChatGPT may lead to academic dishonesty, such as plagiarism. Concerns over academic integrity and the potential for misuse of AI tools.

Proposed Solutions: Implementing strict guidelines and educational programs on the ethical use of AI. Developing clear guidelines and policies for responsible use of AI in education.

Over-reliance

Students and researchers may become overly dependent on ChatGPT, leading to diminished critical thinking skills.

Proposed Solutions: Incorporating discussions on independent thinking and critical analysis in educational settings.

Bias and fairness

ChatGPT can produce biased outputs based on its training data.

Proposed Solutions: Regularly auditing and updating training data to ensure fairness and inclusivity.

Equity barrier

Disparities in access to AI technologies among different student populations.

Proposed Solutions: Implementing programs to provide equitable access to AI resources for all students.

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai