International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

The Ethical Algorithm: Human Values in Autonomous AI

Author(s) Kashish Sagar, Tanmay Shende, Aarya Jaiswal
Country India
Abstract Indeed, heavy deployment of autonomous systems integrated with artificial intelligence in such diverse sectors calls for well-thought-through ethical review to enable effective human-AI collaboration. This paper presents an analysis of the key ethical considerations in the design and deployment of autonomous AI systems, focusing on critical issues pertaining to transparency, accountability, bias, and human oversight. The paper additionally discusses models of human-AI teaming, suggesting ways to encourage positive collaboration by humans and AI in autonomous applications. Indeed, the research would contribute to developing responsible autonomously acting AI that respects human values and agency.
Using a dataset of [dataset size, e.g. '10,000 records'] of [data type, e.g. user interaction metrics, demographics or system logs], this work explores the ethical considerations in AI. Our model reached a classification accuracy of [accuracy %, e.g., 87%], with fairness metrics improvements focusing on its ability to enhance transparency and accountability in autonomous AI frameworks.
Keywords Artificial intelligence, autonomous systems, ethics, human-AI collaboration, transparency, accountability
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-02
Cite This The Ethical Algorithm: Human Values in Autonomous AI - Kashish Sagar, Tanmay Shende, Aarya Jaiswal - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32275
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32275
Short DOI https://doi.org/g8tgpq

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