AI must be designed with transparency as a key feature from the start to avoid accountability issues. Examples of AI failures underscore the need for a framework that allows stakeholders to scrutinize AI outputs, ensuring ethical performance.
Implementing deterministic sandboxes and blockchain technology can provide verifiable evidence of AI actions, fostering trust and accountability. This architecture allows for clear audits of AI behavior, preventing the pitfalls seen in current opaque systems.
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