User:VAV1210/Evaluate an Article

Which article are you evaluating?
Artificial neural network

Why you have chosen this article to evaluate?
(Briefly explain why you chose it, why it matters, and what your preliminary impression of it was.)

Due to the rise of chatGPT and other Generative AI models, research into deep learning has skyrocketed. Therefore, I chose this article because I was interested in how these models impact our everyday life, from their vast applications in medicine and sports to the negative discourse surrounding the technologies advancements. I believe that with the rise in integration of ANNs in our everyday life it is important for readers to understand the social context of these deep learning models, thus I want to ensure that the article includes the social impacts of ANNs as well. My preliminary impression of the article was that it is developed enough and mainly required addition of sources and a couple changes here and there. However, after evaluating the article my perspective on the article changed.

Evaluate the article
(Compose a detailed evaluation of the article here, considering each of the key aspects listed above. Consider the guiding questions, and check out the examples of what a useful Wikipedia article evaluation looks like.)

Wikipedia’s ANNs article discusses everything from their composition and functionality to current research trends about them. The lead section starts out by having a neat and compact definition of ANN which introduces the following important parts such as the history, different types of ANN models, applications, and limitations. An important positive aspect of the article is that it gives very latest details, referring to modern studies and advances within this area. All information is arranged in a logical manner into appropriate sections and sub-sections enabling readers looking for particular information find it easily. Relevant pictures or diagrams are better at explaining while well-labelled visuals increase the article’s quality. The article speaks in an objective fashion without the use of loaded language and presents the two opposing opinions on ANN ethics and danger. It portrays the marginalized and fringe viewpoints without seeking to lead any direction as a result. This talk-page discussion demonstrates that editors work as a team with a view to improving the authenticity and completeness of this article. These discussions are aimed at addressing some of the common biases and making sure that representation among different people is equitable. Incorporation of the piece in WikiProjects regarding Artificial Intelligence and Computer Science accentuates its importance and pertinence. Nevertheless, the strong points of the article are obvious but there is room for further development. More explanation of particular kinds of ANN and their applications would help it further. Secondly, information about latest happenings in the discipline is helpful for adding contemporary to its curriculum. Further examination of the ethical implication may reveal additional risk and limitation that needs to be considered when discussing the topic.