No, technology is not neutral. As historian Melvin Kranzberg stated: "Technology is neither good nor bad; nor is it neutral." It embodies designers' values, biases uses, and shapes society in non-neutral ways—like algorithms favoring efficiency over fairness.Philosophers argue technologies carry inherent biases and long-term implications beyond intent.For details, see: https://medium.com/understanding-us/is-technology-neutral-39d5b445b315 and https://www.forrester.com/blogs/technology-is-not-neutral/
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How to Evaluate a Project’s True Innovation Capability:Check technical depth: Real innovation solves hard problems that others can’t (read whitepaper/code, not just hype). Compare with SOTA: Is it 10% better or 10x better than existing open-source/state-of-the-art? Verify claims independently: Reproduce results, audit contracts, or test the product yourself. Team track record: Have they shipped groundbreaking work before, not just marketed? Patent/novel publication: True breakthroughs often appear in peer-reviewed venues first. Quick checklist: https://a16zcrypto.com/posts/article/how-to-evaluate-crypto-projects-innovation/Real innovation is rare and usually obvious to domain experts within minutes.
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Yes, big data can predict individual disease risk effectively through AI and multi-omics analysis. Studies show models using EHR, genetics, and wearables achieve 80-90%+ accuracy for diseases like diabetes, heart disease, and cancer.Example: UK Biobank + deep learning predicts 10-year cardiovascular risk better than traditional scores.Source: Nature Medicine (2023) https://www.nature.com/articles/s41591-023-02400-1(s)
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