Ethical Implications of Generative AI: Balancing Innovation, Creativity and Responsibility

Generative AI (AI) has quickly become a groundbreaking force with the potential to transform creativity, innovationand productivity in various domains including art, education, healthcare and business. Although its possibilities areincontrovertible, the emergence of generative AI also brings up deeply significant ethical concerns in terms of fairness,accountability, intellectual property, misinformation, and social responsibility. In this article, the ethical aspects of generativeAI are critically discussed, and it focuses on the necessity to find the balance between the ability of the AI to promoteinnovation and creativity and the need to reduce the threats. The paper is based on literature, policy frameworks, andcase studies and investigates the problem of data bias, copyright infringement, transparency, and labor displacement. Italso brings out the role of the main stakeholders,developers, policymakers, industries and users in responsible use of AI.This paper supports a multi-stakeholder strategy that allows merging ethics, regulatory frameworks and digital literacyto protect human values and allow technological advancement. Finally, this study highlights that regulators must actresponsibly to govern generative AI to safeguard intellectual property rights and social confidence but also to preserveits use as a source of human-centered innovation and creativity.

Authors

Institutions

Publication Details

Journal
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Published
2025-09-15
DOI
https://doi.org/10.18090/samriddhi.v17i03.04
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical Implications of Generative AI: Balancing Innovation, Creativity and Responsibility

Rajsharavan Senthilvelan
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Ethics and Social Impacts of AI
article

Ethical Implications of Generative AI: Balancing Innovation, Creativity and Responsibility

Rajsharavan Senthilvelan
article en

Abstract

Generative AI (AI) has quickly become a groundbreaking force with the potential to transform creativity, innovationand productivity in various domains including art, education, healthcare and business. Although its possibilities areincontrovertible, the emergence of generative AI also brings up deeply significant ethical concerns in terms of fairness,accountability, intellectual property, misinformation, and social responsibility. In this article, the ethical aspects of generativeAI are critically discussed, and it focuses on the necessity to find the balance between the ability of the AI to promoteinnovation and creativity and the need to reduce the threats. The paper is based on literature, policy frameworks, andcase studies and investigates the problem of data bias, copyright infringement, transparency, and labor displacement. Italso brings out the role of the main stakeholders,developers, policymakers, industries and users in responsible use of AI.This paper supports a multi-stakeholder strategy that allows merging ethics, regulatory frameworks and digital literacyto protect human values and allow technological advancement. Finally, this study highlights that regulators must actresponsibly to govern generative AI to safeguard intellectual property rights and social confidence but also to preserveits use as a source of human-centered innovation and creativity.

SAMRIDDHI A Journal of Physical Sciences Engineering and TechnologyVol. 17(03)
Russian Research Center for Molecular Diagnostics and Therapy (RU), HTG Molecular Diagnostics (United States) (US), CS Diagnostics (DE)
Openalex Percentile: Top 72%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.