30/09/2026
𝗖𝗮𝗻 𝗬𝗼𝘂 𝗧𝗿𝘂𝘀𝘁 𝗮𝗻 𝗔𝗜 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲?
Imagine an AI Agent that performs a task correctly hundreds of times — and then gets one important decision wrong.
What happens to trust?
More importantly, 𝗶𝘀 “𝘁𝗿𝘂𝘀𝘁” 𝗲𝘃𝗲𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻?
In Episode 3, we explore a more practical question:
👉 𝗛𝗼𝘄 𝗺𝘂𝗰𝗵 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝗴𝗶𝘃𝗲 𝗮𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁?
And where should human oversight begin?
We explore the idea of a 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗼𝗳 𝘁𝗿𝘂𝘀𝘁 — the point where an AI Agent’s autonomy should end and human judgement should begin.
𝗜𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲:
• Can AI Agents actually be trusted at work?
• What happens when AI is confidently wrong?
• How do organisations avoid both 𝗼𝘃𝗲𝗿-𝘁𝗿𝘂𝘀𝘁𝗶𝗻𝗴 and 𝘂𝗻𝗱𝗲𝗿-𝘁𝗿𝘂𝘀𝘁𝗶𝗻𝗴 AI?
• Should the level of human oversight depend on the risk of the task?
• Will humans increasingly become 𝗮𝘂𝗱𝗶𝘁𝗼𝗿𝘀 𝗼𝗳 𝗔𝗜 rather than simply users of it?
• And perhaps the hardest question: 𝗪𝗵𝗼 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲 𝘄𝗵𝗲𝗻 𝗮𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗺𝗮𝗸𝗲𝘀 𝗮 𝗺𝗶𝘀𝘁𝗮𝗸𝗲?
The goal isn't to decide whether AI is “good” or “bad” at its job.
It's to ask a more useful question:
💡 𝗪𝗵𝗲𝗿𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝗱𝗿𝗮𝘄 𝘁𝗵𝗲 𝗹𝗶𝗻𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘁𝗿𝘂𝘀𝘁 𝗮𝗻𝗱 𝘃𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻?
🎥 Watch Episode 3 and join the conversation.
https://www.youtube.com/watch?v=Frfa1e1uc_s&list=PLfiNTLPjiCNs&index=1
We're also inviting HR leaders, executives, managers, consultants and practitioners to explore the 𝗘𝗮𝗿𝗹𝘆 𝗔𝗰𝗰𝗲𝘀𝘀 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 of 𝗛𝗥'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 and challenge the ideas with your own experience.
Your feedback will help shape the final edition.
🔗 Join the Early Access Programme:
https://www.procto.biz/why-the-future-of-ai-belongs-to-hr-not-just-it
𝗪𝗵𝗲𝗿𝗲 𝘄𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗱𝗿𝗮𝘄 𝘁𝗵𝗲 𝗹𝗶𝗻𝗲?
Tell us what you think in the comments. 👇