Transparent Peer Review By Scholar9
Comprehensive study on Generative AI, plethora of applications and impacts
Abstract
Generative Artificial Intelligence a subfield of AI, focuses on developing systems that can generate new, novel and creative contents such as text, images, audio, music, videos. By leveraging the deep learning techniques these models are capable of producing the new contents that almost resembles the realistic contents generated by human creations. These models of Gen AI have gained significant importance in research and have plethora of applications in wide varieties of fields. The impact of GenAI is not just on abled but also on disabled communities who are sometimes unnoticed. This survey gives a comprehensive understanding of GenAI and applications and the current state of the art models, impacts on the disabled communities along with the challenges covering the future scope.
Amit Mangal Reviewer
09 Sep 2024 02:17 PM
Approved
Relevance and Originality:
The Research Article is highly relevant as it addresses Generative Artificial Intelligence (GenAI), a rapidly advancing field with broad applications across various domains. The focus on both its general applications and its impact on disabled communities adds originality and depth to the study. By highlighting the often-overlooked benefits of GenAI for disabled individuals, the paper contributes valuable insights into how these technologies can address specific needs and improve accessibility.
Methodology:
The summary indicates that the study is a survey providing a comprehensive understanding of GenAI, its applications, and its impact. However, it lacks specific details about the methodology used for the survey. Information on how data was collected, the criteria for selecting models and applications reviewed, and the approach for analyzing the impact on disabled communities would clarify the research design and enhance the methodological transparency.
Validity & Reliability:
The Research Article summary does not specify how validity and reliability were ensured. To strengthen the study’s credibility, details on how the data was validated, the sources of information used, and how reliability was maintained throughout the survey would be beneficial. This includes how representative the sample of models and applications was and how comprehensive the review of impacts on disabled communities was.
Clarity and Structure:
The summary is clear and well-structured, outlining the scope of the research and its focus on GenAI. It effectively highlights the significance of the study, especially the impact on disabled communities. However, it would benefit from additional details on the specific findings and insights gained from the survey, as well as a clearer explanation of the challenges identified and the future scope of GenAI applications.
Result Analysis:
The summary provides an overview of the intended outcomes, including understanding GenAI, its applications, and impacts on disabled communities. However, it lacks detailed results or specific examples from the survey. Including information on the key findings, such as how GenAI models are currently benefiting disabled individuals, specific challenges encountered, and any recommendations for future development would offer a more thorough result analysis. Additionally, discussing the limitations of the survey and areas for further research would enhance the evaluation of the study’s impact and contributions.
IJ Publication Publisher
Thank you Sir
Amit Mangal Reviewer