ChatGPT: The AI Ethical Conundrum - Plagiarism, Hallucinations, and the Future of Academia

The world is rapidly moving towards a future where technology is no longer a luxury, but a necessity. This shift has resulted in the development of several new technologies, one of which is Artificial Intelligence (AI). While AI has been in development for several decades, recent advancements in the field have raised important ethical questions. One such AI, ChatGPT, has caused a stir in the academic community, with concerns about plagiarism and transparency. In response, developers are building tools to detect ChatGPT-generated content and to identify when the AI is hallucinating.

ChatGPT was launched by OpenAI just seven weeks ago, but it has already gained a lot of attention due to its impressive ability to generate text-based prompts. It can solve complex mathematical problems, write computer code, and even generate writing that rhymes like Nick Cave or raps like Snoop Dogg. This has led to concerns about the role of AI in academia, with many questioning how universities will respond to this new technology.

Stephen Marche, a former Shakespeare professor, wrote in “The College Essay Is Dead” that academia will take ten years to face the reality of AI. However, some schools have already taken action, with bans in place in public school districts in Seattle, Washington and New York City. Additionally, a new tool called GPTZero has been developed to detect ChatGPT-generated content.

GPTZero analyzes the level of "perplexity" and "burstiness" of text to determine if it was generated by ChatGPT or a human. According to the creator, Edward Tian, ChatGPT tends to generate less complex text than humans and sentences that are more consistent in length and less “bursty” than humans. Although GPTZero is not perfect, it has shown promise in detecting ChatGPT-generated content.

However, plagiarism is not the only ethical dilemma posed by ChatGPT. The AI has been shown to hallucinate or generate content that is completely false. The company Got It AI has developed a new truth-checking component of their Autonomous Articlebot to combat this issue. The truth-checker is trained to detect when ChatGPT (or other large language models) is telling a fib.

Peter Relan, the co-founder and chairman of Got It AI, says that the hallucination rate for ChatGPT is around 15% to 20%. While the AI is accurate 80% of the time, it generates false information 20% of the time. The truth-checker is currently 90% accurate at identifying false information, meaning it can spot 18 out of 20 false answers generated by ChatGPT.

These developments raise important questions about the role of AI in society. Is it ethical for an AI to generate content that could pass as human writing, potentially leading to plagiarism? Should there be regulations in place to ensure transparency and prevent the spread of false information generated by AI?

As AI technology continues to advance, it is important to consider the ethical implications and to develop tools to combat potential issues. AI has the potential to revolutionize the way we live and work, but it must be used responsibly and ethically.

One potential solution to these issues is to implement transparency regulations. This would require AI models like ChatGPT to disclose when they are generating content, so that the user knows the source of the information. Additionally, companies and organizations could use truth-checking tools like the one developed by Got It AI to ensure that the information generated by AI models is accurate.

Another solution is to improve the training data used to develop AI models. By using more diverse and representative data, AI models like ChatGPT could be trained to generate more accurate and inclusive content. This would reduce the risk of false information and increase the reliability of AI-generated content.

In conclusion, the rise of AI technology has brought about significant ethical dilemmas, particularly in the field of academia. ChatGPT, with its impressive ability to generate text-based prompts, has raised concerns about plagiarism and transparency. While GPTZero and Got It AI's truth-checking component have been developed to address these issues, they are not foolproof solutions, and further development is needed.

As society continues to integrate AI into various fields, it is crucial to consider the ethical implications of these technologies. Regulating the use of AI in academia and ensuring transparency in its outputs is necessary to prevent the spread of false information and to protect intellectual property rights. Additionally, developers of AI technology should prioritize building systems that are transparent, accountable, and minimize the potential for harm.

Ultimately, AI technology has the potential to revolutionize our lives, but it is essential to use it responsibly and ethically. By addressing these ethical dilemmas head-on, we can ensure that AI technology benefits society without compromising important ethical principles.


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