摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者在立陶宛维尔纽斯的新闻报道，研究表明：“癫痫的概念定义几十年来一直在变化，仍然存在争议。我们评估了人工智能(AI)通过言语和视觉材料构思癫痫及其对人的生活的影响。”新闻记者从维尔纽斯大学的研究中获得了一句话，“我们询问了聊天生成预先训练过的变形金刚(ChatGPT)，定义癫痫及其影响。ChatGPT的提示被转移到另一个AI到OL DALL·E 2(Open AI)，根据语言输入生成视觉图像。ChatG PT对癫痫的定义依赖于其概念和实际定义。它将癫痫命名为“一种以反复发作为特征的神经疾病”，对患者的生活有重大影响，并且在两次或两次以上后C hatGPT提出了九个问题：与癫痫有关的伤害、日常活动的限制、情感和心理影响、社会耻辱和孤立、教育和就业挑战、关系和家庭动态、药物副作用、经济负担、家庭负担、家庭暴力、精神创伤、摘要:人工智能生成的图像从对这些现象的直接描述到抽象意象,但大多缺乏象征元素和视觉隐喻。我们表明,人工智能可以从医学、社会和经济的角度识别和直观地解释癫痫的负担。然而,人工智能的研究成果却不能令人满意。创造的图像不是比喻的，也不遵循癫痫专家在类似研究中提出的寓言叙事。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Vilnius , Lithuania, by NewsRx journalists, research stated, “The conceptual definition of epilepsy has been changing over decades and remains debatable. We assessed ho w artificial intelligence (AI) conceives epilepsy and its impact on a person’s l ife through verbal and visual material.” The news reporters obtained a quote from the research from Vilnius University, “ We asked the Chat Generative Pre-Trained Transformer (ChatGPT, OpenAI) to define epilepsy and its impact. Prompts from ChatGPT were transferred to another AI to ol DALL·E 2 (Open AI) to generate visual images based on verbal input. The ChatG PT definition on epilepsy relied on both its conceptual and practical definition s. It titled epilepsy to be ‘a neurological disorder characterized by recurring seizures’ that has significant impact on patients’ lives and is diagnosed after two or more unprovoked seizures or if there is a high risk of future seizures. C hatGPT presented nine issues - seizure-related injuries, limitations on daily ac tivities, emotional and psychological impact, social stigma and isolation, educa tional and employment challenges, relationship and family dynamics, medication s ide effects, financial burden, and coexisting conditions - as major consequences of epilepsy. AI-generated images ranged from direct portrayals of these phenome na to abstract imagery but were mostly deprived of symbolic elements and visual metaphors. We showed that AI can identify and visually interpret the burden of e pilepsy from medical, societal and economical perspectives. However, the imagery created is not figurative and does not follow allegorical narratives put forwar d by epilepsy specialists in similar studies.”
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