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How to Use AI in Drug Development Without Creating Compliance Risk (Copy)

How to Use AI in Drug Development Without Creating Compliance Risk

  • 19 minutes
  • 10 slides
What we'll cover
  • 0:00 Why AI Feels Risky
  • 2:00 Map The Risk Surface
  • 6:00 Safe Uses Worth Starting
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What you'll take away

Practical shifts you can apply this week

  • Identify Risk By Task

    Identify drug development tasks where AI creates low, medium, and high compliance risk.

  • Evaluate Use Cases Against Requirements

    Evaluate AI use cases against GxP, privacy, IP, and documentation requirements.

  • Apply A Simple Decision Framework

    Apply a simple decision framework for human review, validation, and traceability.

  • Draft Practical Workflow Guardrails

    Draft guardrails for prompts, outputs, and recordkeeping in regulated workflows.

Agenda

What we'll cover

  1. 0:00

    Why AI Feels Risky

    Why teams worry, where the real risk sits, and why use case matters more than magic-box thinking.

  2. 2:00

    Map The Risk Surface

    Sort risk by data, decision type, and whether the output touches a regulated record.

  3. 6:00

    Safe Uses Worth Starting

    Look at narrow, reversible use cases like summarization and formatting that are easy to verify.

  4. 10:00

    Red Flags And Failure Modes

    See where risk jumps fast: fabricated citations, PHI exposure, version drift, and missing audit trails.

  5. 14:00

    Four-Step Use Decision

    Use classify, constrain, review, document to make better calls without adding theater disguised as process.

  6. 18:00

    Team Rules And Close

    Recap the framework, share plain-language rules, and finish with quick next steps and Q&A.

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