Pristly Turjo Mazumder (Georgia State U) has posted “Human-AI Collaboration with ChatGPT: A Systematic Review of Implications for Finance, Law, and Healthcare” on SSRN. Here is the abstract:
ChatGPT is rapidly shaping high-stakes sectors including education, healthcare, finance, law, and business. This paper combines a systematic review with practical research to examine ChatGPT and large language models (LLMs) in high-stakes sectors. Evidence shows ChatGPT enhances adaptive learning, academic writing, and clinical decision support, while our finance case study highlights its potential for anti-money laundering (AML) compliance and regulatory reporting. At the same time, challenges such as hallucinations, bias, privacy risks, and plagiarism persist, raising concerns over reliability and accountability. Ethical and regulatory gaps, spanning data protection, intellectual property, and transparency, further complicate adoption. To address these issues, we propose a human-AI collaboration framework built on domain-specific fine-tuning, expert oversight, and policy safeguards. Our findings underscore that ChatGPT holds significant promise for advancing innovation and national interest in critical industries, but responsible integration requires clear guidelines, rigorous validation, and continuous governance.