Resources

Open Resources for Responsible AI Literacy

This project will develop open resources to help the GES community use generative AI responsibly in research, communication, teaching, and public engagement. Resources will focus on how to use AI tools and on when to use them, how to evaluate their outputs, and when human expertise should take priority.

GES Generative AI Tutorials

Planned open Colab tutorials will showcase practical uses of generative AI in GES-related work, including:

• Literature synthesis and research support

• Regulatory and policy document analysis

• Public and stakeholder discourse related to gene editing

• Plain-language science communication

• Coding and data analysis

• Genomics and bioinformatics applications

Each tutorial will incorporate responsible-use practices such as verification, source checking, evaluation of limitations, and human review.

Google Colab Tutorials

(needs a link here)

Workshop Materials

Planned workshop materials will provide hands-on activities for developing AI literacy across different levels of experience.

Materials may include:

• Guided AI exercises

• Prompt and workflow examples

• Verification and source-checking activities

• Bias and missing-perspective exercises

• Responsible-use checklists

• Reflection and evaluation activities

Workshops will emphasize moving beyond simply adopting AI toward informed use and critical evaluation.

[Workshop Materials, Coming Soon]

Responsible AI Guidelines

Our responsible-use guidance provides a practical framework for working with generative AI in GES:

Choose → Verify → Evaluate → Protect → Review → Disclose → Improve

The guidelines address appropriate AI use, accuracy and citations, bias and context, privacy, human oversight, transparency, and improving AI-assisted workflows.

[View Responsible-Use Guidelines]

Recommended Readings

The project draws on research and frameworks that help define AI literacy and responsible innovation, including:

• Liu & Levy - Five-Stage AI Literacy Continuum: A developmental framework ranging from Not Yet Engaged to Improvement.

• UNESCO AI Competency Framework for Students: A framework organizing AI competencies across understanding, application, and creation.

• OECD AI Literacy Framework: Guidance for understanding the knowledge and skills needed for responsible AI use.

• Generative AI for Science: Resources connecting generative AI with scientific research and education.

• Responsible Research and Innovation (RRI): Work addressing responsible development and societal engagement around emerging technologies.

Open Repository

Project materials will be shared as open resources as they are developed, including tutorials, workshop materials, responsible-use guidance, and other educational resources.

[Open Project Repository, Coming Soon]