| Phase | Duration | Core Deliverables | |------|----------|-------------------| | – Conceptual Modeling | Jun 2024 – Dec 2024 | Computational models of neural‑plasticity, baseline ethical charter | | Phase II – Prototype Development | Jan 2025 – Jun 2025 | First‑generation ACI hardware, limited‑subject trials | | Phase III – Scaling & Validation | Jul 2025 – Mar 2026 | Multi‑site clinical validation, policy‑ready documentation | | Phase IV – Final Release (Part 04) | Apr 2026 | Full‑system integration, public‑facing assets (current deliverable) |

| Risk | Likelihood | Impact | Countermeasure | |------|------------|--------|----------------| | | Low (≤ 2 %) | High (neurological) | Adaptive safety envelope, auto‑shutdown at 2.5 mA | | Data Breach | Very Low (≤ 0.5 %) | High (privacy) | End‑to‑end encryption + ZKCP | | Algorithmic Bias | Moderate (≈ 5 %) | Medium (inequitable performance) | Continuous bias‑audit pipeline, diverse training data | | Phase | Duration | Core Deliverables |

The project’s offers a replicable template for future human‑augmentation initiatives, reinforcing public trust and pre‑empting regulatory friction. However, the potential for performance‑enhancement misuse (e.g., competitive e‑sports) demands continued vigilance and policy refinement. the potential for performance‑enhancement misuse (e.g.

For correct visualization of the Pandora FMS library extension, you must have installed version NG 760 or superior

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-1158642566---- New 0604 --- Pthc Valya Irisa Laura Vanessa - Final Version Part 04 -1h00- 1.022 ~upd~ -

| Phase | Duration | Core Deliverables | |------|----------|-------------------| | – Conceptual Modeling | Jun 2024 – Dec 2024 | Computational models of neural‑plasticity, baseline ethical charter | | Phase II – Prototype Development | Jan 2025 – Jun 2025 | First‑generation ACI hardware, limited‑subject trials | | Phase III – Scaling & Validation | Jul 2025 – Mar 2026 | Multi‑site clinical validation, policy‑ready documentation | | Phase IV – Final Release (Part 04) | Apr 2026 | Full‑system integration, public‑facing assets (current deliverable) |

| Risk | Likelihood | Impact | Countermeasure | |------|------------|--------|----------------| | | Low (≤ 2 %) | High (neurological) | Adaptive safety envelope, auto‑shutdown at 2.5 mA | | Data Breach | Very Low (≤ 0.5 %) | High (privacy) | End‑to‑end encryption + ZKCP | | Algorithmic Bias | Moderate (≈ 5 %) | Medium (inequitable performance) | Continuous bias‑audit pipeline, diverse training data |

The project’s offers a replicable template for future human‑augmentation initiatives, reinforcing public trust and pre‑empting regulatory friction. However, the potential for performance‑enhancement misuse (e.g., competitive e‑sports) demands continued vigilance and policy refinement.