We talk a lot about keeping a human in the loop, but what does that actually mean in your day to day? You read the AI output, it looks right, you approve it, and you move on. But from late 2027 that might not be enough, because Article 14 of the EU AI Act comes into full enforcement.
So what does it take to be a good human in the loop? You almost certainly have the skills already, and this episode is about putting them to work.
In this week's episode, Jess and Kyle get into what human-in-the-loop AI looks like in practice, the four levels of oversight, the value of domain expertise and context expertise, the five-step framework for being a good human in the loop, and how HITL skills can future proof your career.
What You'll Learn
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Research:
Timestamps:
00:00 Introduction and Weekly Updates
04:46 AI News of the Week: AI News: Article 50 of the EU AI Act Is Now Live
07:11 Why LinkedIn and Substack Are Labelling AI Content
09:07 Article 14: When Human Oversight Becomes a Legal Duty
09:50 Why Oversight Matters More When AI Takes Action
12:17 What Human in the Loop Actually Means
13:12 Levels of AI Oversight
17:59 The Role of Domain and Context Experts
20:45 What Domain Expertise Means for AI Oversight
25:22 Context Expertise: The Business Knowledge That Lives Only in Your Head
29:46 Why Compliance Risk Lands on You, Not the AI
32:31 Future-Proofing Your Career in the Age of AI
34:39 Judgment, Context, and Accountability in Decision-Making
41:34 The Framework for Becoming a Good Human in the Loop
Get in Touch
hello@earlyadoptr.ai
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Instagram: @early_adoptr
YouTube: @early_adoptr
LinkedIn: https://www.linkedin.com/company/early-adoptr/
www.earlyadoptr.ai
Note: The written and scripted content for this episode was created with the assistance of various AI models.
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