Welcome to the Hidden Layer Workshop!
In this workshop we will:
- Interact with generative AI to explore its possibilities and limitations
- Discuss the intellectual privacy implications of generative AI, including intellectual property considerations
- Evaluate generative AI for its impact on human agency
- PROMPT Design Worksheet (fillable PDF)Use the PROMPT Design Framework to optimize generative AI output by specifying a Persona, Requirements, Organization, Medium, Purpose, and Tone.
This workshop is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Hartman-Caverly, S. (2023). Hidden layer: Intellectual privacy and generative AI. https://guides.libraries.psu.edu/berks/AI
Prompt Design: Think-Pair-Ask AI-Share
Research question: What are the privacy implications of artificial intelligence?
- Think: On your own, draft some prompts for generative AI (like ChatGPT).
- Pair: With a partner, discuss your draft prompts. Develop 1-2 to use.
- Ask AI: Input your prompt(s) into one of the generative AI platforms below.
- Share: What worked well? What did you need to tweak? Did you get the information you were looking for? Does it seem accurate? How do you know? What did you learn from AI? What did AI learn from you?
Inspired by "Think-Pair-Share with ChatGPT" proposed by Sarah Dillard.
- AI PlaygroundCompare output from free versions of ChatGPT, Google Gemini, Meta AI, Cohere, and Mistral.
- PROMPT Design Worksheet (fillable PDF)Use the PROMPT Design Framework to optimize generative AI output by specifying a Persona, Requirements, Organization, Medium, Purpose, and Tone.
The Hidden Layer
Open the Hidden Layer Simulation to explore the deep learning work of nodes in a large language model neural network, and consider their implications for AI bias, hallucination, and explainability.
- Text-only version of Hidden Layer SimulationThis text-only version of the Hidden Layer Simulation can be used with screen readers.
Examine AI bias in more detail by exploring the image galleries created by Rest of World using Midjourney.
Rest of World not available? Try these alternatives:
From artificial intelligence to augmented intellect: AIM4AI Analysis
Select a case study and consider the following questions:
Impact Dimension
- Does the case address input or output from an AI system?
- At what point does human-machine interaction occur in your case (ex. training during machine learning, fine-tuning, or in response to output)?
Agency Dimension
- Who is generating the input - humans or machines?
- Who is impacted by the output? How is the output evaluated for fairness, accountability, and transparency?
- How transparent is the interaction? Does it enhance or undermine human agency?
Map your case onto the Agency-Interaction Matrix for AI (AIM4AI) (via Markup.io):
- Text-only version of AIM4AI Matrix.This text-only version of the AIM4AI Matrix can be used with screen-readers.
Workshop Reflection
Explore further
The Master Algorithm: how the quest for the ultimate learning machine will remake our world by Call Number: Q387.D66 2018ISBN: 9780465094271Publication Date: 2018Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society.
A Citizen's Guide to Artificial Intelligence by Call Number: Q334.7.Z47 2021ISBN: 9780262044813Publication Date: 2021This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Awkward Intelligence: where AI goes wrong, why it matters, and what we can do about it by Call Number: Q334.7.Z84 2022ISBN: 9780262047463Publication Date: 2022AI expert Katharina Zweig presents the good and the bad- AI is good at processing vast quantities of data that humans cannot-but it's bad at making judgments about people. Zweig introduces readers to the basics of AI and presents a toolkit for designing AI systems, explaining algorithms, big data, and computer intelligence, how they relate to one another, and the ethics of AI and how we can shape the process.
Intellectual Privacy: rethinking civil liberties in the digital age by Call Number: K3263.R53 2015ISBN: 9780199946143Publication Date: 2015How should we think about the problems of privacy and free speech? In Intellectual Privacy, Neil Richards argues that speech and privacy are only rarely in conflict, showing how most of the law we enact to protect online privacy pose no serious burden to public debate, and how protecting the privacy of our data is not censorship.More fundamentally, Richards shows how privacy and free speech are often essential to each other.
Prompt Design
- Student perspective: don’t use AI to do the work, use it to make the work betterPrompt design advice from a Penn State international student.
- The CLEAR path: A framework for enhancing information literacy through prompt engineering (Lo, 2023)Outlines the CLEAR framework for prompt engineering: concise, logical, explicit, adaptive, and reflective.
- AI Learning Resources (AIFire.com)Numerous prompt design cheat sheets and other AI tips from AIFire.com.
Research Guides
- Generative AI: ChatGPT and BeyondA guide to the various artificial intelligence (AI) algorithms that use deep learning techniques and massively large data sets to understand, summarize, generate and predict new content.
- Citing LLMsRecommended formatted citations for generative AI output in APA, MLA, and Chicago styles.
