Introduction
AI offers tremendous potential for journalism, but it also introduces serious risks. From hallucinated facts to privacy violations, these are the dangers that can undermine your credibility and harm your subjects. Know them, and avoid them.
The 10 Dangers
Detailed content for each danger is coming soon. Here is what we will cover:
- 1
Publishing AI Hallucinations as Fact
AI models confidently generate false information. Never publish AI output without rigorous verification.
- 2
Exposing Confidential Sources
Entering source names or sensitive details into AI tools risks leaking protected information.
- 3
Amplifying Bias
AI models reflect biases in their training data, potentially reinforcing stereotypes in your reporting.
- 4
Over-Reliance on AI
Letting AI replace critical thinking and investigative instincts weakens journalism.
- 5
Ignoring Copyright and Attribution
AI-generated content may incorporate copyrighted material without proper attribution.
- 6
Failing to Disclose AI Use
Audiences deserve to know when AI played a role in content creation.
- 7
Using AI for Deceptive Content
Creating synthetic media to mislead audiences violates fundamental journalism ethics.
- 8
Neglecting Data Privacy
Processing personal data through AI tools may violate privacy regulations like GDPR.
- 9
Blindly Trusting AI Analysis
AI data analysis can contain errors. Statistical claims must be independently verified.
- 10
Ignoring Ethical Review
Skipping ethical evaluation of AI workflows puts your newsroom at risk.
Journalaism Learning Program
A structured, self-paced learning program that takes you from AI novice to confident practitioner. Includes assessments, exercises, and certification.