展示HN：Helix – 印度的人工智能与神经科技框架，用于预测公共安全
我正在开发一个名为HELIX的概念安全框架，旨在利用人工智能、行为分析、DNA与Aadhaar的融合，以及前瞻性的非侵入性神经信号分析路线图来应对犯罪、恐怖主义和剥削行为。
与传统的执法模式不同，HELIX围绕预测性智能构建——在高风险行为和威胁升级之前进行检测。其核心要素包括：
• 在地理围栏区域内进行人工智能驱动的行为追踪
• DNA与Aadhaar身份融合，实现高精度识别
• ExposeHub，一个面向市民的应用程序，用于实时、经过验证的报告
• 提议的神经身份监控层（理想化、非侵入性），用于长期演变
• 以治理为首要原则：伦理、“神经权利”和透明的监督从一开始就融入其中
虽然仍处于概念阶段，但该提案概述了法律框架、试点部署模型和伦理保障措施（例如，反偏见审计、禁止社会评分）。我们的目标是建立一个在技术上雄心勃勃、在伦理上扎实的系统。
完整的白皮书已发布：Desci Nodes，创新内容评分为95%。我们非常希望听到HN社区的反馈，特别是在以下方面：
• 预测性神经技术的可行性和局限性
• 如何负责任地融合个人识别信息（如DNA与生物特征）
• 防止滥用或滑向威权监控的方法
欢迎任何问题——想法、担忧、批评都欢迎。
查看原文
I’ve been working on HELIX, a conceptual security framework that aims to tackle crime, terrorism, and exploitation using AI, behavioral analytics, DNA-Aadhaar fusion, and a forward-looking roadmap for non-invasive neural signal analysis.
Unlike traditional law enforcement models, HELIX is built around predictive intelligence—detecting high-risk behaviors and threats before they escalate. Core elements include:
• AI-driven behavioral tracking in geo-fenced zones
• DNA-Aadhaar ID fusion for high-precision identification
• ExposeHub, a citizen-facing app for real-time, verified reporting
• A proposed Neuro-ID Surveillance layer (aspirational, non-invasive) for long-term evolution
• A governance-first approach: ethics, "neural rights", and transparent oversight are baked in from the start
While still in conceptual stages, the proposal outlines legal frameworks, pilot deployment models, and ethical safeguards (e.g., anti-bias audits, no social scoring). We're aiming for a system that is both technologically ambitious and ethically grounded.
The full whitepaper is available: Desci Nodes with a novelty content score of 95%.
We’d love feedback from the HN community—especially around:
• Feasibility and limits of predictive neural tech
• How to responsibly fuse personal identifiers (like DNA + biometrics)
• Ways to prevent misuse or drift into authoritarian surveillance
Ask Me Anything — thoughts, concerns, critiques all welcome.