The Impact of Deepfakes on Society and the Role of AI in Mitigating Harm

ABSTRACT: Deepfake technology has emerged as one of the most concerning developments in the field of artificial intelligence. By manipulating images, audio, and videos, deepfakes can challenge the boundary between authentic and synthetic media . While this technology has some positive applications in entertainment, education, and accessibility, its misuse poses serious risks to society. From spreading misinformation and damaging reputations to influencing politics and increasing cybercrime, deepfakes present challenges that demand urgent attention. This paper explores both the harmful and beneficial impacts of deepfakes, highlighting the increasing concerns regarding media reliability and authenticity. It further examines how artificial intelligence itself can play a crucial role in addressing these issues, particularly through detection tools, authentication systems, and ethical frameworks. The discussion emphasizes the need for awareness, regulation, and technological solutions to ensure that innovation in AI does not come at the cost of societal harm. This paper contributes by providing a structured review of risks, applications, detection methods, and by presenting original survey results (n=200) on public awareness and trust in AI for deepfake detection. Key words: Deepfakes, Artificial Intelligence (AI), Misinformation, Digital Media Authenticity, Cybercrime, Deepfake Detection, Ethical AI

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17237301
Primary Topic
Geodetic Measurements and Engineering Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Deepfakes on Society and the Role of AI in Mitigating Harm

Zenodo (CERN European Organization for Nuclear Research)
Geodetic Measurements and Engineering Structures
article

The Impact of Deepfakes on Society and the Role of AI in Mitigating Harm

article en

Abstract

ABSTRACT: Deepfake technology has emerged as one of the most concerning developments in the field of artificial intelligence. By manipulating images, audio, and videos, deepfakes can challenge the boundary between authentic and synthetic media . While this technology has some positive applications in entertainment, education, and accessibility, its misuse poses serious risks to society. From spreading misinformation and damaging reputations to influencing politics and increasing cybercrime, deepfakes present challenges that demand urgent attention. This paper explores both the harmful and beneficial impacts of deepfakes, highlighting the increasing concerns regarding media reliability and authenticity. It further examines how artificial intelligence itself can play a crucial role in addressing these issues, particularly through detection tools, authentication systems, and ethical frameworks. The discussion emphasizes the need for awareness, regulation, and technological solutions to ensure that innovation in AI does not come at the cost of societal harm. This paper contributes by providing a structured review of risks, applications, detection methods, and by presenting original survey results (n=200) on public awareness and trust in AI for deepfake detection. Key words: Deepfakes, Artificial Intelligence (AI), Misinformation, Digital Media Authenticity, Cybercrime, Deepfake Detection, Ethical AI

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Geodetic Measurements and Engineering Structures
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.