Arpna
Aggarwal
Senior IT Auditor at Labcorp
"The Accountability Blindspot: Auditing AI Before It Audits Us"
"The Accountability Blindspot: Auditing AI Before It Audits Us"
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Session: The Accountability Blindspot: Auditing AI Before It Audits Us
AI is being implemented across all industries, yet much of it remains fundamentally unauditable.This keynote introduces the Accountability Blindspot, which is the critical gap between AI capability and AI governance.
I present a strong case for Audit-First AI, where cybersecurity, responsible intelligence, and data governance form the foundation of trust.
This presentation does not only focus on ethics. It is the blueprint for the next layer of infrastructure in civilization.
Key Takeaways
- The widening gap between AI deployment and governance is becoming the defining risk of the AI era.
- Responsible AI must be auditable, grounded in evidence, traceability, and enforceable oversight, rather than relying solely on abstract ethics.
- AI introduces new cybersecurity challenges, including cognitive attack surfaces such as data poisoning, adversarial manipulation, and model exploitation.
- Data governance is essential for building trust, as ungoverned data can become automated authority within intelligent systems.
- Recognize women’s leadership in AI as vital to building trust infrastructure and shaping the systems that will define the next decade.
Bio
Arpna Aggarwal specializes in Responsible AI, cybersecurity, auditing, and data governance. As intelligent systems become more prevalent, she emphasizes that AI used for critical decisions must be auditable, secure, and accountable by design.Arpna is the creator of the CORTEX# Framework (Cryptographic-Ontological-Risk-Traceability-and-Evidence-eXcellence), a next-generation approach to AI auditing that transforms compliance from a checkbox exercise into engineered infrastructure. CORTEX# enables organizations to trace decisions, preserve evidence, manage risk, and govern intelligence in real time before failures become systemic.
Her work addresses the growing threat of cognitive risk. As AI expands the cyber-attack surface into decision-making, Arpna encourages leaders to reconsider security, governance, and responsibility at the intelligence layer.
At WomenTech Network Conference 2026, Arpna brings a decisive message:
The next generation of women in technology will not just build AI.
They will build the systems that make AI accountable.
