# From Tools to Governance: How to Compliantly Approach Tech-Enabled Research

Watch the Recording  About the Webinar As AI becomes embedded in evidence synthesis workflows, the conversation is shifting. The question is no longer whether AI will be used, but how institutions, libraries, and research teams can use it responsibly, transparently, and in alignment with evolving standards. Governance structures have not fully caught up with

Source: https://picoportal.org/blog/from-tools-to-governance-recording/

### Watch the Recording

<div class="video-embed"><iframe src="https://www.youtube-nocookie.com/embed/sipKlLIMwTo" title="Evidence Synthesis in Transition: Lessons from 2025 and the Road to 2026" loading="lazy" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen></iframe></div>

### <b>About the Webinar</b>

As AI becomes embedded in evidence synthesis workflows, the conversation is shifting. The question is no longer whether AI will be used, but how institutions, libraries, and research teams can use it responsibly, transparently, and in alignment with evolving standards.

Governance structures have not fully caught up with the pace of technological change. In some cases, legacy rules are being applied to tools that function very differently. In others, institutions are still determining what compliance means in practice, whether related to copyright, data security, validation, reporting standards, or public trust.

This session will explore how leaders are navigating this transitional moment. We will examine what “AI governance” means within evidence synthesis, how different types of AI require different oversight approaches, and how institutions are balancing innovation with accountability.

### <strong>Who You’ll Hear From</strong>

  - <strong>Karen Robinson</strong>, PhD, Professor, Johns Hopkins University School of Medicine
  - <strong>Jennifer McKinnell</strong>, Library Administrator, McMaster University
  - <strong>Eitan Agai</strong>, CEO & Founder of PICO Portal

### <b>What You’ll Learn</b>

  - What we mean by “tech-enabled research” and how AI differs from earlier automation tools
  - How compliance intersects with copyright, research standards, and institutional policy
  - Practical governance considerations for libraries and research teams
  - How institutions are managing workload pressure, equity concerns, and reporting requirements
  - Why transparency, documentation, and personal responsibility are essential to maintaining trust

Whether you are a librarian, researcher, methodologist, or institutional leader, this webinar will provide a grounded discussion on moving from experimentation toward responsible governance in the era of AI-enabled research.

### Date and Time:

<p><strong>Thursday, March 12th, 2026<br />
11 am – 12 pm Eastern Time (New York) </strong><br />
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