Legally Survivable AI: From "Human-in-the-Loop" to Evidentiary AI & Executable Law

When an AI system makes a mistake that leads to a lawsuit or regulatory audit, "we tried our best" is not a legal defense. In the era of AI enforcement, regulators and courts aren't just asking for explanations—they are demanding proof of control.

In this video, we move beyond basic observability and ethics dashboards to explore Evidentiary AI—a forensic-grade governance layer designed to make AI decisions court-defensible. We discuss why logs are not evidence, and how to bridge the gap between technical outputs and legal survivability.

In this video, you will learn:
• The "Knowledge-Time" Proof: Why you must be able to cryptographically prove exactly what model version, prompt, and data snapshot existed at the precise moment a decision was made.
• Policy-as-Code: Moving compliance from static PDF guidelines to "executable law" using neurosymbolic approaches (like Automated Reasoning Checks) that validate outputs against strict logic rules before they reach the user,.
• Hallucinations as Compliance Violations: Why fabricating information in regulated domains (like finance or healthcare) isn't just a quality error—it's a breach of governance that requires enforced refusal logic,.
• Regulatory Readiness: How to prepare for the specific transparency and record-keeping obligations for "High-Risk AI Systems" under the EU AI Act, including data governance and human oversight.
• The Decision Provenance Ledger: How to create a tamper-evident audit trail that traces every input to an output, proving that safety layers were active and policy checks were passed.

Key Concepts:
• Evidentiary AI: Turning AI outputs into admissible evidence.
• Neurosymbolic Guardrails: Combining LLMs with formal logic to achieve 99%+ soundness in policy enforcement,.
• The "Right to Explanation": Why vague explanations fail in court and how to provide specific, decision-level traceability,.
References:
• Defensible AI: From Governance to Legal Survivability
• A Neurosymbolic Approach to Natural Language Formalization and Verification
• Decoding the EU AI Act

#AI #AIGovernance #LegalTech #EUAIAct #Compliance #RiskManagement #GenerativeAI