Is Chat GPT The Next Big Thing in The Realm of Artificial Intelligence?

Artificial intelligence never fails to amaze us with its versatility in almost all technical realms. And before you know it, the next big thing is already here to surprise you with even greater intensity. Now that we are digging into this, you might have guessed where the conversation is heading. Yes, we are about to spill beans over Chat-GPT, the new buzzword taking over the internet.

Elaborating further, the powerful artificial intelligence bot Chat Generic Pre-Trained Transformer, abbreviated as ChatGPT, was created by OpenAI. The organization's creators, Altman, Musk, and other Silicon Valley investors, unveiled it to the world on November 30, 2022, after establishing an artificial intelligence research non-profit organization in 2015.

It is a potent AI bot that can comprehend human speech and produce in-depth literature that is simple for humans to grasp. The most intriguing part of ChatGPT is the question-and-answer format. Let's dive up and illuminate the other aspects of this chatbot and how it can benefit users.

Opening Up New Avenues for Scientific Literatures

The Artificial Intelligence (#AI) #chatbot, has stormed the world and made its official debut in the scientific literature, earning at least four authorship credits on published papers and preprints. Being an extensive language model (LLM), it that generates articulated perceptions by imitating the statistical patterns of language in a colossal database of text accumulated from the internet. The bot is already unsettling in sectors, including academia.

This innovation has sweeping consequences for science and society. For example, researchers and other disciplinarians have utilized ChatGPT to abstract the literature, draft and enhance papers, and write essays and talks, thereby identifying research gaps and writing computer codes and statistical analyses. Shortly, this technology will advance to the argument that it can design experiments, write and complete manuscripts, conduct a peer review, and assists editorial decision to accept or reject manuscripts.

Conversational #AI is likely to transform research publishing and applications, creating opportunities and concerns. It might quicken the creative process by facilitating people to write conveniently, making science more versatile and increasing the diversity of scientific standpoints. Nonetheless, it could also demean the value and transparency of research by altering the sovereignty of human researchers. ChatGPT and other LLMs generate a definitive text which can often be incorrect and distort scientific facts.

Is ChatGPT Ethical?

It provides information grounded on its transformer #algorithm, which generates answers based on an interpretation of a query and the information it is being instructed. Therefore, the most likely answer provided will be the most prevalent one grounded on algorithms interpretation. Thus, its responses are even more problematic to accredit a single reference as the answers combine diverse sources. Hence, the issue of misrepresentation can lead to more ethical complications, such as misinformation.

Is ChatGPT Reliable?

The Chatbot excels in responding to direct questions, generating lists, and creating abstracts. #chatgpt capability to write and assess code across numerous languages is also very striking. However, the algorithm is less coherent when inquired about responding to a more open-ended question, delivering substantive analysis, and answering queries on niche subjects. Nevertheless, we assume that the utility of this innovation is indispensable. Hence the research community must engage in discussions about the repercussions of this hypothetically disruptive technology. Here, we abstracted some key issues and suggestions on where to initiate.?

Hold on to Human Authentication

Large Language Models (#LLM) have been evolving for years. Still, constant increases in the features and enlargement of data sets and comfortable methodologies to standardize these models with human feedback have immediately made them more influential than before. As a result, LLMs will lead to a new cohort of search engines capable of generating detailed and edifying answers to complex user questions.

Expert-driven fact-checking and authentication processes will be inevitable. LLMs can precisely expedite summaries, evaluations, and reviews, and exclusive journals might decide to comprise the human verification phase or even forbid specific applications using this technology. An over-dependence on automated systems and to hamper human automation bias, It'll become more critical to prioritize the importance of accountability.

Develop Procedures for Accountability

Tools are already accessible to forecast the probability of a text generated by machines or humans. Such tools could be convenient for detecting LLMs' indispensable utility in producing content by paper mills and predatory journals. Still, such detection methods are likely to be evaded by advanced AI technologies and smart prompts. Therefore, it is requisite for the research community and publishers to use LLMs with integrity, transparency, and honesty instead of involving in a futile arms race between AI chatbots and AI chatbots detectors.

Extend the Debate and Dialogues

Given the incredible potential of LLMs, the research community and educators should have a wide-ranging debate and exchange dialogues with students. In the absence of any external rules, responsible researchers and group leaders must perceive how to use them with honesty, integrity, and transparency.

Summing Up

Being a robust and adaptable language model with various applications in several fields, it can develop an organization’s process and customer experiences, from natural language processing to customer service. Moreover, its capability to comprehend and respond to human-like language makes it an exceptional tool for text classification, machine translation, and question-answering tasks. However, as with any discipline, science now faces retribution prompted by AI technology invading its most held values, practices, and standards. Hence, the focus should be on enfolding the opportunity and managing risks. Nevertheless, we are confident that science will be benefitted from conversational AI without losing many essential aspects, which is the most profound and gratifying enterprise: curiosity, imagination, and discovery.