In the second session of CAST’s AI at Work in Agriculture series, Dan Maycock, co-founder and CTO of Dataplai, addresses the 10 concerns that most frequently stall AI adoption in agricultural organizations — and what to do about each one.

Topics covered:

• Confidently wrong answers — how to catch them before they affect decisions
• Protecting your data and IP without stopping AI use entirely
• Over-reliance and skill atrophy — how to stay sharp as AI does more of the work
• Acting without a human checkpoint — the real risk of agentic AI
• Runaway loops and costs — how to set guardrails before they trigger
• Overly broad access — what to audit and when
• When demos break on real inputs — and how to test before it matters
• Ungrounded AI that invents specifics — and how to prevent it
• The difference between a working prompt and a working system
• Depending on a black box — how to evaluate vendors and protect your organization

Earn a Certificate of Completion

Complete all three sessions and take the quiz on CAST’s online learning platform to earn a certificate of completion in AI at Work in Agriculture.

→ Take the course: https://castagscience.thinkific.com/products/courses/AI-Work-in-Agriculture

→ Watch the recording: https://youtu.be/5cgQUAlOTXs