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Takunda
Jora
Senior Data Scientist
Reddit
Takunda Jora is a Data Scientist specializing in Trust & Safety and AI Detection, with nearly a decade of experience combating spam, fraud, and abuse at scale across Google, YouTube, and Reddit. He has built statistical and machine learning models that protect platforms, detect emerging threats, and improve enforcement accuracy. At Reddit, he works on AI‑driven safety systems and scaled enforcement, translating complex policy and behavioral signals into actionable model behavior. Takunda is skilled in Python, SQL, ML, NLP, and Airflow, and is passionate about applying data science to real‑world safety challenges.
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28 January 2027 12:00 - 12:30
Panel | The oversight tax: How much review agentic AI actually needs
Add too little oversight and an agent makes a call nobody approved. Add too much and you've rebuilt the manual process you were trying to replace. Human-in-the-loop controls work when agents move at human speed. As agents act faster and across more systems, teams have to decide which decisions need a person, which need a guardrail and which can run on their own. Where should that line sit? This session brings together leaders building and operating agentic systems to break down how they set autonomy levels, design approval points and build guardrails that scale with the agent rather than against it. Through candid examples of where review added real protection and where it only slowed things down, they'll share how they decide how much control to hand over. Key takeaways: → How to classify agent decisions by risk and set autonomy thresholds for each → Where human review adds real safety and where it only adds friction → Guardrail and accountability patterns for agents acting at scale