International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

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

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Ethical AI in Data Science: Balancing Innovation and Responsibility in the Digital Age

Author(s) Shafeeq Ur Rahaman
Country India
Abstract The AI-driven data sciences have transformed industries in ways unimaginable, from unprecedented innovation to insights. However, this progress has also brought in a lot of ethical challenges, including data privacy, algorithmic bias, lack of transparency, and accountability in decision-making processes. This study explores the intersection of ethics and innovation, with an emphasis on the importance of adopting responsible AI practices in the digital age. It identifies frameworks and guiding principles such as fairness, accountability, and transparency that reduce risks and build trust in AI applications. The research also talks of the role of policymakers, organizations, and technologists in developing practices for ethical AI while not strangling innovation. Real-world examples from various industries show that balancing innovation with responsibility provides sustainable and inclusive technological ecosystems. The study thereby underlines the need for collaboration across sectors in order to address ethical dilemmas, so that AI becomes a force for good in the service of society. By aligning innovation with responsibility, the digital age can move forward with equitable and ethical AI deployment.
Keywords Ethical AI, data science, innovation, responsible AI practices, algorithmic bias, transparency, accountability, digital ethics, AI governance, fairness, sustainable technology, and inclusive AI systems.
Field Computer > Data / Information
Published In Volume 5, Issue 9, September 2024
Published On 2024-09-05
Cite This Ethical AI in Data Science: Balancing Innovation and Responsibility in the Digital Age - Shafeeq Ur Rahaman - IJLRP Volume 5, Issue 9, September 2024. DOI 10.5281/zenodo.14471535
DOI https://doi.org/10.5281/zenodo.14471535
Short DOI https://doi.org/g8vkzv
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com