EPISODE · Jan 22, 2026 · 7 MIN
Episode 56: Human-in-the-Loop: Governing AI Decisions Without Losing Control
from AI-Ignited · host Elif Başer
In this episode of AI Ignited, host Elif Baser sits down with Mehmet Efe Gurkan to explore how organizations design Human-in-the-Loop (HITL) AI systems that keep managers embedded in automated decision cycles.The conversation breaks down the technical foundations of HITL frameworks, including model explainability, confidence scoring, threshold-based overrides, and escalation protocols that allow human judgment to intervene when AI systems face uncertainty or high-stakes decisions. Rather than removing managers from control, these systems redefine their role as supervisors, interpreters, and stewards of AI-driven processes.Drawing on ongoing research at Carnegie Mellon University, the episode highlights how interactive machine learning and real-time explanation tools are shaping the next generation of management control systems—where humans can query, challenge, and correct AI recommendations before action is taken.This episode offers a technical yet practical look at how organizations can scale AI responsibly, ensuring automation enhances decision-making without sacrificing accountability, transparency, or strategic judgment.
What this episode covers
In this episode of AI Ignited, host Elif Baser sits down with Mehmet Efe Gurkan to explore how organizations design Human-in-the-Loop (HITL) AI systems that keep managers embedded in automated decision cycles.The conversation breaks down the technical foundations of HITL frameworks, including model explainability, confidence scoring, threshold-based overrides, and escalation protocols that allow human judgment to intervene when AI systems face uncertainty or high-stakes decisions. Rather than removing managers from control, these systems redefine their role as supervisors, interpreters, and stewards of AI-driven processes.Drawing on ongoing research at Carnegie Mellon University, the episode highlights how interactive machine learning and real-time explanation tools are shaping the next generation of management control systems—where humans can query, challenge, and correct AI recommendations before action is taken.This episode offers a technical yet practical look at how organizations can scale AI responsibly, ensuring automation enhances decision-making without sacrificing accountability, transparency, or strategic judgment.
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Episode 56: Human-in-the-Loop: Governing AI Decisions Without Losing Control
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