Ethics and Information Technology
The fundamental rights risks of countering cognitive warfare with artificial intelligence
This article critically examines the fundamental rights implications of using AI-supported systems to counter 'cognitive warfare.' It highlights the challenges of establishing causality and attribution for harm and argues for a precautionary, proportionality-based approach to state interventions.
Key Executive Impact
Our analysis uncovers critical areas of concern and potential leverage points for responsible AI deployment.
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Research in Ethics and Information Technology explores the societal impact of emerging technologies, focusing on moral, legal, and social issues. This paper specifically addresses the intersection of AI, cognitive warfare, and human rights within this domain.
Key Concept Spotlight
Precautionary PrincipleJustifies AI-enabled measures in absence of conclusive harm evidence, but demands strict proportionality.
Enterprise Process Flow
AI Detection System
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Content Flagging
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Human Review
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Intervention Decision
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Action & Monitoring
| Feature | State Intervention | Private Platform |
|---|---|---|
| Legal Basis | Law-based, fundamental rights constraints | Contractual, platform policies |
| Scope | Cross-platform, broad | Platform-specific |
| Accountability | Public, democratic oversight | Platform-specific terms |
Case Study: Slovakia 2023 Election Deepfake
Problem: A deepfake audio clip targeting a pro-EU candidate circulated before the election, influencing public opinion.
Solution: Highlighted the vulnerability of democratic processes to generative AI and the challenge of attributing direct impact amidst existing political sentiments and long-term foreign influence.
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Implementation Roadmap
A phased approach ensures responsible and effective deployment of AI-powered solutions.
Phase 1: Risk Assessment & Legal Framework
Establish clear legal bases and proportionality criteria for AI interventions, aligned with fundamental rights.
Phase 2: System Development & Bias Mitigation
Develop AI systems with robust bias detection and mitigation strategies, focusing on transparency and human oversight.
Phase 3: Pilot Deployment & Evaluation
Conduct controlled pilot programs to assess system effectiveness and unintended consequences, particularly on communication rights.
Phase 4: Public & Democratic Oversight
Implement mechanisms for public accountability and democratic oversight of AI systems to ensure transparency and prevent misuse.
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