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PDIP

I built a working prototype that turns suspected AI-generated or coordinated political content into a documented compliance review.

2026Responsible AI prototypeai
Document dossiers and a desk lamp on a dark institutional table, suggesting a governance review

Teams reviewing suspected disinformation need to move quickly without turning an AI score into a verdict. They also need to show which rule applies, what evidence was used, and who remains accountable.

I designed and built the Parliamentary Disinformation Intelligence Platform as a policy and interface prototype following my work at the CIVICA EU AI Policy Hackathon.

Disinformation intakeRegulatory mappingEvidence recordHuman reviewEscalation queueAudit trail
  • I designed an intake flow for suspected synthetic or coordinated text, transcripts, and media links.
  • I connected each review to relevant provisions of the EU AI Act, Digital Services Act, GDPR, and EU political-advertising rules.
  • I made source evidence, escalation, human review, and an audit trail visible in the interface.
  • I added red-team scenarios so the review flow can be tested without presenting generated outputs as real incidents.
  • A public, working prototype that demonstrates the complete review journey.
  • A plain link between model output, source evidence, regulation, and human accountability.
  • Reusable test scenarios covering elections, manipulated media, and public-interest claims.

I include PDIP because it shows the governance work itself—not just a certification. It makes the rules, uncertainty, and human responsibility visible in a product people can try.

See the live project

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WhatsApp+34 663 462 250Emailsarfarazsingh@student.ie.eduLinkedInSee my profile