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| Concern | Why It Matters | Mitigation Strategies | |---------|----------------|-----------------------| | | The same capability that designs a biodegradable prosthetic could also generate a compact, undetectable weapon component. | Mandatory model‑level usage contracts , watermarking of generated schematics, and real‑time monitoring by providers. | | Intellectual Property (IP) Leakage | Training on copyrighted material could inadvertently reproduce protected designs. | Data‑cleaning pipelines , differential privacy techniques, and legal frameworks for “AI‑generated IP”. | | Algorithmic Bias | If training data over‑represent certain cultures, outputs may marginalize others. | Balanced multimodal datasets , bias audits, and community‑driven evaluation loops. | | Over‑Automation | Human expertise may be sidelined, leading to skill erosion. | Emphasize human‑in‑the‑loop workflows , provide education on AI‑augmented design, and preserve “craft” pathways. |
