The Ethics of Deepfake and Synthetic Media in Politics
- SystemsCloud

- Oct 29
- 3 min read
Synthetic media has advanced rapidly in recent years, making it possible to generate convincing audio, video and images of people saying or doing things that never happened. When applied to politics, this technology raises serious ethical questions. From misinformation risks to election interference, deepfakes threaten public trust in democratic institutions.

What Are Deepfakes and Synthetic Media in Politics?
Deepfakes use artificial intelligence to create manipulated videos, images or audio recordings that convincingly mimic real people. Synthetic media refers more broadly to any AI-generated content designed to look or sound authentic.
In politics, these tools can fabricate a speech from a candidate, fake a video of an event, or spread manipulated images through social media. What once required a film studio can now be done with a laptop.
Why Do Deepfakes Pose a Risk to Elections?
Deepfakes can influence public opinion during campaigns by presenting false information in a realistic format. Unlike traditional misinformation, these outputs are harder to spot and spread quickly through online platforms.
The risks are significant:
Fabricated statements can discredit candidates.
Fake scandals can shift public debate.
Manipulated content may circulate faster than fact-checks can catch up.
During elections, where voter perceptions can be swayed by marginal differences, the damage can be decisive.
How Do Deepfakes Challenge Public Trust?
Trust is a cornerstone of democracy. When voters cannot be sure if a video or recording is genuine, confidence in the political process weakens. The problem is not only false

information but also the erosion of certainty. Even genuine material may be dismissed as fake, a phenomenon researchers call the "liar’s dividend".
This mistrust can spread beyond politics to journalism, justice systems, and everyday communication, undermining the credibility of legitimate information sources.
Why Is Regulation and Ethical Use Important?
Governments and regulators are beginning to consider policies to manage synthetic media. The UK’s Online Safety Act, for example, introduces provisions for harmful digital content, though specific rules for deepfakes are still developing.
Ethically, the debate is about responsibility:
Should platforms remove manipulated content automatically?
Should creators of synthetic political media face legal penalties?
How can campaigns ensure transparency without restricting free expression?
Without clear standards, bad actors gain an advantage while responsible organisations hesitate.
How Can Democracies Respond to Synthetic Media Threats?
Responses need to balance innovation with protection. Some practical measures include:
Detection tools: Investing in AI systems that flag manipulated content.
Transparency rules: Requiring labelling of synthetic material used in campaigns.
Public education: Helping voters understand the risks and question suspicious content.
Cross-border cooperation: Since misinformation rarely stops at national borders, international agreements are vital.
Summary of Risks and Responses
Challenge | Why It Matters | Response |
Election interference | Misleads voters during campaigns | Detection systems and fast fact-checking |
Public trust | Genuine media questioned, weakening institutions | Transparency and education |
Regulatory gaps | Bad actors face few consequences | New laws and international standards |
How Should Businesses and Organisations Think About Synthetic Media?
Although politics is the most visible area of concern, businesses also face reputational risks. Deepfakes can be used to impersonate executives or manipulate financial announcements. The ethical standards we apply in politics should also extend to corporate life.
Related reading: The Sustainability and Diversity Gap in AI Advancements, AI Tools Your SME Can Actually Use (Without Breaking the Budget), Why IT Shouldn’t Be an Afterthought: Building Tech into Your Growth Plans
Synthetic media is reshaping the information landscape. In politics, the stakes are particularly high, with the risk of election manipulation and declining trust in institutions. The ethical challenge is not only about detecting fakes but about preserving the credibility of truth itself.
For democracies to remain resilient, governments, platforms, and citizens all need to engage with this issue. As AI grows more capable, the ethical questions around its use in politics will only become more urgent.








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