Accountability in AI

Why Accountability Matters

As AI systems influence more decisions, it’s vital to ensure there are clear responsibilities for their actions and outcomes. Accountability supports justice, transparency, and societal trust.

Principles of Accountable AI

• Clear documentation of system design and usage
• Defined roles for auditing and human intervention
• Mechanisms for redress and error correction

Viswanext’s Approach

We implement traceability and explainability standards, ensuring all systems are overseen by responsible teams. Our AI remains transparent, testable, and adjustable to feedback.

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