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We are building an open-source consumer awareness platform that helps the general public understand, evaluate, and navigate products and services powered by advanced AI. As AI systems become more capable and pervasive, consumers face growing risks from manipulation, bias, privacy violations, and opaque automation—yet have almost no accessible infrastructure to make informed choices or hold providers accountable.
Existential and catastrophic AI risk does not emerge only from super intelligent systems. It accumulates through thousands of smaller failures that normalise over-reliance on opaque AI, erode human judgment, concentrate power, and weaken social resilience. A consumer base that cannot distinguish safe from unsafe AI, or recognise manipulation, creates fertile
ground for both accidental and intentional catastrophic harm.
This project reduces x-risk by:
- Building epistemic resilience. Informed consumers are harder to manipulate by AI-generated misinformation, deepfakes, and algorithmic radicalisation—all of which are force multipliers in instability and conflict scenarios.
- Creating market feedback loops. Transparent product labeling and crowd-sourced risk signals push AI companies toward safer design by making harms visible and costly.
- Generating policy-relevant data. Aggregated user reports and platform analytics produce real-world evidence of AI
harms, informing regulatory frameworks before crises occur.
- Democratising access to safety knowledge. Currently, AI safety discourse is siloed in academic and technical communities. This platform translates high-impact safety concepts into accessible formats for billions of non-expert users.
- Reducing AI-enabled fraud and exploitation of vulnerable populations.
- Improving public health outcomes by identifying unsafe AI medical advice.
- Supporting AI governance by demonstrating public demand for transparency.
Product Scanner : Barcode/QR and image recognition to surface AI involvement, ingredient anomalies, and safety flags for consumer goods.
Database Search : Searchable index of products, brands, ingredients, financial instruments, and health claims with AI-risk annotations.
Education Hub : Articles, guides, explainer videos, and interactive modules on AI literacy, privacy, and safety.
Alert System : Real-time notifications for recalls, emerging scams, deepfake campaigns, and regulatory actions.
Comparison Tools : Side-by-side evaluation of AI products and services on safety, privacy, and transparency metrics.
Community Reviews : User-submitted ratings and verified expert commentary on AI products and claims.
Engineering (1.5 FTE × 12 months) $30,000+
Content & Research (part-time domain experts) $8,000+
Infrastructure & Tooling $4,000
Community Management & Moderation $3,000
Contingency / Unforeseen Costs $5,000 +
Total $50,000+
- Niranjan Anand: — Civil + Software technical background, physical and AI safety experience, https://www.linkedin.com/in/niranjanaryan
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