A bipartisan panel of voters weighed in on the future of artificial intelligence and growing concerns surrounding the potential dangers of the emerging technology. As machine learning technology continues to shock the world, popular artificial intelligence tools such as natural language processing may generate unforeseen issues for humanity. For instance, natural language processing can have implicit biases, create a significant carbon footprint, and stoke concerns about AI sentience. Natural language processing is a field in machine learning where a computer processes human language through vast amounts of data to understand, translate, extract, and organize information. However, the language processing tools such as Open AI's Chat GPT and other tools run into some challenges, such as misspellings, speech recognition, and the ability of a computer to understand the nuances of human language.

According to parent company OpenAI's description, ChatGPT can answer "follow-up questions" and also "admit its mistakes, challenge incorrect premises, and reject inappropriate requests." Based on the company's GPT 3.5 series of language learning models (LLM), GPT stands for Generative Pre-trained Transformer 3, which is said to be a kind of computer language model that relies on deep learning techniques to produce human-like text based on inputs. Now, a study published in journal PLOS Digital Health has noted that predicting dementia from spontaneous speech using large language models "might one day be able to help doctors detect Alzheimer's disease in its early stages" and that, too, with "80 per cent accuracy". Alzheimer's disease is a currently an incurable brain disorder. Speech, a quintessential human ability, has emerged as an important biomarker of neurodegenerative disorders like Alzheimer's, the study notes.

Analyzing speech using the same AI algorithms as a trending new chatbot could act as a screening tool for Alzheimer's disease, research shows. The findings, reported in PLOS Digital Health, demonstrate how AI-driven speech assessment could assist with the early diagnosis of dementia and help tailor interventions towards individual needs. The system deploys the third generation of a large, specific language model called Generative Pretrained Transformer (GPT-3), which is produced by San Francisco research and development company OpenAI. The same company launched the ChatGPT last month, which has been making waves in the chatbot industry for combining deep learning with natural language processing to mimic realistic human conversations. "We know from ongoing research that the cognitive effects of Alzheimer's disease can manifest themselves in language production," said co-author Hualou Liang, a professor in Drexel's School of Biomedical Engineering, Science and Health Systems in Philadelphia, Pennsylvania.

The artificial intelligence algorithms behind the chatbot program ChatGPT -- which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries -- might one day be able to help doctors detect Alzheimer's Disease in its early stages. Research from Drexel University's School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. Reported in the journal PLOS Digital Health, the Drexel study is the latest in a series of efforts to show the effectiveness of natural language processing programs for early prediction of Alzheimer's – leveraging current research suggesting that language impairment can be an early indicator of neurodegenerative disorders. The current practice for diagnosing Alzheimer's Disease typically involves a medical history review and lengthy set of physical and neurological evaluations and tests. While there is still no cure for the disease, spotting it early can give patients more options for therapeutics and support.

The artificial intelligence algorithms behind the chatbot program ChatGPT--which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries--might one day be able to help doctors detect Alzheimer's disease in its early stages. Research from Drexel University's School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. Reported in the journal PLOS Digital Health, the Drexel study is the latest in a series of efforts to show the effectiveness of natural language processing programs for early prediction of Alzheimer's--leveraging current research suggesting that language impairment can be an early indicator of neurodegenerative disorders. The current practice for diagnosing Alzheimer's Disease typically involves a medical history review and lengthy set of physical and neurological evaluations and tests. While there is still no cure for the disease, spotting it early can give patients more options for therapeutics and support.

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