Assessing The Impact of Transparent AI Systems in Enhancing User Trust and Privacy
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Keywords:
Transparent AI, Programming, Human Trust, Machine LearningAbstract
The study is about the impact of transparent systems to enhance users’ trust and privacy, and this consent is very important in the era of technology. Trust is a big factor when utilizing AI, and it is risky to develop trust as the privacy concern is there in the technology. In that factor, the study has focused on finding the impact of the transparent AI system in developing privacy and trust. Different kinds of literature pieces are also reviewed to gain knowledge about the subject matter. Moreover, a proper methodology is engaged to develop the study which has been followed by the result and discussion to meet the aim and objectives of the research.
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References
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Copyright (c) 2024 Meghasai Bodimani
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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.