Details
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https://meet.zoho.com.au/gtin-ejz-msq
## What’s On?
Speaker: Sandeep Bhalekar, Founder – Global Institute of Artificial Intelligence
Title: Who Is Responsible When AI Makes the Decision?
Abstract: As AI becomes increasingly involved in business decisions, one critical question is becoming harder to ignore: who is actually accountable when AI gets it wrong?
Is it the developer who built the system, the organisation that deployed it, the executive who approved it, the employee using it, or the technology provider behind the model?
This session explores AI accountability in practice — how organisations can establish clear ownership, decision rights, human oversight and escalation mechanisms as AI becomes more autonomous and embedded in business operations.
Rather than treating accountability as simply a policy requirement, we will examine how it should work across the AI lifecycle — from design and deployment through monitoring and real-world decision-making.
## What You’ll Learn
✅ The AI Accountability Gap — Understand why traditional accountability models become difficult when AI participates in decisions.
✅ Who Owns an AI Decision? — Explore the responsibilities of executives, AI teams, business owners, developers, vendors and end users.
✅ Human Oversight — Understand where human review should sit and when humans should be able to intervene, override or stop an AI system.
✅ Decision Rights & Escalation — Learn how organisations can define who approves AI use cases, accepts risk and handles incidents.
✅ Accountability Across the AI Lifecycle — Explore ownership from development and deployment through monitoring, change and retirement.
✅ From Principles to Governance — See how accountability can be translated into practical roles, controls and governance structures.
## Who This Is For
C-suite and executive leaders, CIOs, CTOs, CDOs, AI leaders, risk and compliance professionals, governance professionals, technology and transformation leaders, product leaders, AI practitioners and consultants responsible for deploying or governing AI.
This session will be particularly valuable for organisations moving from AI experimentation to operational and enterprise-scale adoption.
## Format
90-minute live session featuring practical scenarios, accountability frameworks and real-world discussion, followed by an open Q&A.
The session is designed to move beyond theoretical Responsible AI principles and examine the practical question organisations increasingly need to answer:
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