AI Resources

Please note: Listing a tool on this page does not mean DePaul endorses or has approved it. Never enter student records or confidential or proprietary DePaul data into an AI tool that DePaul has not approved. Before adopting a new tool for work or teaching, review the Information Services guidance on generative AI.

Jump to: Start Here at DePaul | BoodleBox at Driehaus | Teaching and Academic Integrity | Research Tools | Policy, Ethics and Governance | Tools by Task | Keep Learning

Start Here at DePaul

• Artificial Intelligence in Higher Education: The Center for Teaching and Learning's guide to AI teaching recommendations, sample syllabus statements and academic integrity.
• Teaching and Learning with Generative AI Program: Self-paced program for DePaul faculty and staff, delivered in D2L. Questions go to facultydevelopment@depaul.edu.
• Generative AI at DePaul: Information Services' guidance on responsible use, data privacy, intellectual property and cybersecurity.
• The DePaul AI Institute: Promotes interdisciplinary AI research and education across DePaul's colleges and hosts the AI in Teaching Symposium recordings.
• Microsoft Copilot: Available to DePaul faculty, staff and students. Sign in with your DePaul credentials to get the university's data protections.

BoodleBox at Driehaus

The Driehaus College of Business is embedding AI into the core of business education through AI@Driehaus. Log in to BoodleBox, the AI platform that powers AI@Driehaus, with your DePaul account. The goal is for every Driehaus student to graduate with a portfolio that showcases the AI capabilities and collaborative skills employers are looking for.

What BoodleBox offers:

• Multi-model access in one place: Use ChatGPT, Claude, Gemini, Perplexity and other models without switching tools, even within a single thread.
• Image creation: Create images using the latest models.
• Persistent portfolios: Students keep their work after graduation, even on a free account.
• Bots: Custom assistants, similar to GPTs in ChatGPT or Gems in Gemini. Bots can be chained so content flows from one to the next.
• Collaborative chats: Shared spaces for group work.
• Instructor visibility: Instructors can see student work that has been shared with them.
• Knowledge uploads: Add your own documents to ground bots and responses.
• Prompt coaching: Feedback to help users improve their prompting techniques.
• FERPA compliance: A secure environment for academic work.
• SOC 2 certification: Independently audited security.

Getting started with BoodleBox:

• Get Started With BoodleBox
• BoodleBox User Guides for Education and Workforce
• BoodleBox's Guide to GenAI Models and Bots
• Classroom Guide: Creating and Managing Assignments
• Creating Custom Bots in BoodleBox
• Vibe Bot Builder: Example of a custom bot.
• BoodleBox YouTube Channel
• Short Videos and Tutorials by BoodleBox: YouTube playlist.
• BoodleU: BoodleBox's community for educators, where faculty and staff share ideas and access specialized resources.

Resources to share with students:

• Campus AI Leadership Council: BoodleBox's student community for exchanging AI learning strategies and collaborative approaches.
• Driehaus Generative AI Literacy Framework and BoodleBox: D2L course that all Driehaus students are automatically enrolled in. DePaul login required.
• CTL AI Training Modules for Students: D2L modules created by faculty consultants and Center for Teaching and Learning staff. They introduce how AI works, academic integrity, ethical considerations and practical student applications. DePaul login required. To add these modules to your own D2L courses, follow the Teaching Commons instructions for importing the AI student modules.

General-Purpose AI Assistants

Driehaus faculty, staff and students can also use many of these models through BoodleBox.

• ChatGPT: OpenAI's AI assistant. Includes image generation.
• Claude: Anthropic's AI assistant.
• Gemini: Google's AI assistant (formerly Bard).
• Microsoft Copilot: Microsoft's AI assistant. Use your DePaul credentials.

Teaching and Academic Integrity

Course Policies and Teaching Guidance

• 43 Examples of Artificial Intelligence in Education: The University of San Diego's list of examples.
• 20 Ways to Use ChatGPT in the Classroom: Tips from Matt Miller, author of "Ditch That Textbook."
• A Teacher's Prompt Guide to ChatGPT Aligned with 'What Works Best': Created by Andrew Herft.
• AI Text Generators and Teaching Writing: Starting Points for Inquiry: Curated by Anna Mills for the WAC Clearinghouse.
• Artificial Intelligence and the Future of Teaching and Learning (PDF): 2023 policy report from the U.S. Department of Education's former Office of Educational Technology, archived in ERIC.
• Generative AI Assistance Policy: Boston University Faculty of Computing and Data Sciences.
• Classroom Policies for AI Generative Tools: Lance Eaton's crowdsourced collection of course policies from instructors across institutions.
• Course Policies Related to ChatGPT and Other AI Tools: Curated by Joel Gladd, PhD.
• AI-Generated Content in the Classroom: Illinois State University Center for Integrated Professional Development.
• TeachAI: Initiative supporting AI education in primary and secondary schools. Publishes the AI Guidance for Schools Toolkit.
• Teaching and Learning with Artificial Intelligence Apps: University of Calgary Taylor Institute for Teaching and Learning.
• Generative AI and Teaching: Washington University in St. Louis Center for Teaching and Learning.
• Why All Our Classes Suddenly Became AI Classes: Strategies for Teaching and Learning in a ChatGPT World: Article by Ethan Mollick and Lilach Mollick for Harvard Business Publishing Education. Their video series, Practical AI for Instructors and Students:
  • Part 1: Introduction to AI for Teachers and Students
  • Part 2: Large Language Models (LLMs)
  • Part 3: Prompting AI
  • Part 4: AI for Teachers
  • Part 5: AI for Students

Detecting AI-Generated Work

Please note: AI-text detection is unreliable and should not be treated as proof of misconduct. Do not upload student work to third-party detection sites that DePaul has not approved, since doing so may expose student records protected by FERPA. See the Center for Teaching and Learning's AI guide for how to respond to suspected misuse.

• Using Originality Check in D2L: DePaul instructions for Turnitin's originality checking. Read Turnitin's AI writing detection FAQ to understand the tool's limits.
• Turnitin teaching resources:
  • Guide for Approaching AI-Generated Text in Your Classroom (PDF)
  • AI Misuse Rubric (PDF)
  • AI Misuse Checklist (PDF)

Quizzes, Course Content and Teaching Assistants

• Conker: Quiz generation tool.
• Khanmigo: Khan Academy's AI tutor and teaching assistant.
• Knowt: Flashcards, quizzes and review games.
• (k)NudgingAI: AI teaching assistant.
• Merlyn: AI assistant designed to reduce teachers' administrative work.
• Questgen: Quiz generation tool.
• QuestionWell: Quiz generation tool.
• Quizlet: Flashcards, study modes and games.
• TeacherMatic: Creates quizzes, lesson objectives, rubrics and more.
• Testportal: Quiz generation tool.
• Twee: Creates quiz questions from YouTube videos.
• Writable: Supports AI-assisted curriculum creation, feedback and grading.
• Photomath: Step-by-step math help for students (now owned by Google).

Research Tools

• Elicit: AI research assistant for finding and summarizing papers.
• Keenious: Academic search engine that integrates with Microsoft Word and Google Docs.
• Litmaps: Literature review and citation mapping tool.
• NotebookLM: Google's AI research and note-taking tool that works from sources you upload.
• scite: Shows how articles have been cited, including whether citations support or contrast a claim.
• Semantic Scholar: AI-powered scholarly search with paper summaries. Also offers Semantic Reader.

Policy, Ethics and Governance

Institutes and Organizations

• Ada Lovelace Institute: Independent research institute working to ensure data and AI work for people and society.
• Alan Turing Institute: The UK's national institute for data science and artificial intelligence.
• AlgorithmWatch: Nonprofit research and advocacy organization that analyzes automated decision-making systems and their impact on society.
• Center for AI Safety (CAIS): Nonprofit focused on research and field-building to reduce societal-scale risks from AI.
• Distributed AI Research Institute (DAIR): Independent, community-rooted AI research.
• EleutherAI: Nonprofit research collective focused on open-source AI research.
• Global AI Ethics Consortium (GAIEC): Hosted by the Technical University of Munich's Institute for Ethics in Artificial Intelligence. Also offers the free AI Ethics online course.
• Montreal AI Ethics Institute: International nonprofit think tank. Publishes The AI Ethics Brief newsletter.

Government and Regulation

• AI.gov: U.S. federal government website on national AI policy and activities.
• Blueprint for an AI Bill of Rights: 2022 White House framework, now archived. Provided for historical reference.
• EU Artificial Intelligence Act: Overview and explainers. Read the official text of Regulation (EU) 2024/1689.
• UK Department for Science, Innovation and Technology (DSIT): Now leads UK AI policy, including the work of the former Office for Artificial Intelligence and the former Centre for Data Ethics and Innovation. See the UK's 2023 AI regulation white paper.

Privacy, Security and Provenance

• Coalition for Content Provenance and Authenticity (C2PA): Develops technical standards for certifying the source and history of media content.
• Have I Been Trained?: Search for your art or likeness in AI training datasets.
• Indirect Prompt Injection: Research explaining how hidden instructions in web content can manipulate AI tools.
• LLM Privacy: Research showing that large language models can infer personal details such as location and income from ordinary text.
• Secure AI Framework (SAIF): Google's framework for securing AI systems.
• VoicePrivacy: Research initiative developing anonymization methods for speech recordings.

Sustainability

• CodeCarbon: Python package that estimates the carbon emissions of running code and suggests ways to reduce them.

Tools by Task

Writing

• Ginger: AI writing assistant.
• Grammarly: Grammar, spelling and style checking.
• Hemingway Editor: Highlights complex sentences to make writing clearer.
• HyperWrite: AI writing assistant and productivity tool.
• InstaText: AI writing assistant and editing tool.
• Jenni: AI writing assistant for academic writing.
• Lex: AI-assisted word processor.
• Notion AI: AI assistant built into the Notion workspace.
• ProWritingAid: AI writing assistant.
• QuillBot: AI paraphrasing and grammar tool.
• ShortlyAI: AI writing assistant.
• Sudowrite: AI assistant for creative writers.
• SummarizeBot: Summarizes text.
• Trinka: Grammar checker for academic and technical writing.
• Wordtune: AI writing assistant.

Prompt Writing

Please note: Prompting techniques don't always transfer between AI models. Check each vendor's current guidance.

• Claude Prompt Engineering Guide: Anthropic's prompting guidance for Claude.
• More Useful Things: Ethan Mollick's collection of prompts and resources, a companion to his newsletter One Useful Thing.
• Prompt Engineering Guide: Papers, guides and techniques for prompting large language models.
• prompts.chat: Open collection of example prompts (formerly Awesome ChatGPT Prompts).

Search

• Andi: Chat-style search engine.
• Bing: Microsoft's search engine with Copilot answers.
• Brave Search: Search engine with AI-generated answers.
• Exa: AI-powered search engine (formerly Metaphor).
• Perplexity: Chat-style search engine that cites its sources.
• Phind: AI-powered search for programmers.
• Wolfram|Alpha: Computational answer engine for math, science and data.

Data Analysis and Visualization

• Akkio: No-code AI tool for data transformation and visualization.
• Google Charts: Free tool for adding interactive charts to websites.
• Graphy: AI-assisted charting tool. The free version adds a watermark.
• HiPlot: Meta's interactive tool for exploring high-dimensional data. Install with pip install hiplot; it runs in Jupyter notebooks.
• Julius: Chat with data files to analyze and visualize them. Also includes an AI presentation maker that turns prompts, documents, and data into editable PowerPoint slides. Offers academic pricing.
• Jupyter Notebooks: Open-source tool for documents that combine live code, equations, visualizations and text. Can run online, so students don't need to install anything. Useful visualization libraries include:
  • Altair
  • Bokeh
  • Jupyter Widgets
  • Plotly
• Looker Studio: Google's free data visualization and dashboard tool.
• Microsoft Fabric: Analytics and business intelligence platform that brings together Power BI, data engineering and data warehousing.
• Polymer: No-code visualization tool with AI-suggested analyses.
• Qlik: Analytics and visualization platform.
• Tableau: Interactive data visualization platform from Salesforce. Free licenses are available for teaching.

Spreadsheets

• AI Excel Bot: Generates Excel and Google Sheets formulas from text prompts.
• Formula Bot: Generates Excel and Google Sheets formulas from text prompts.

Coding

• Amazon Q Developer: Amazon's AI coding assistant (formerly CodeWhisperer).
• CoCalc: Web-based platform for collaborative computing in research and teaching.
• FlutterFlow: App design and development tool.
• GitHub Copilot: AI coding assistant. Free for verified educators and students.
• MindStudio: No-code platform for building custom AI apps.

Running AI Models Locally

Please note: These tools run AI models on your own computer. Check with Information Services before installing software on a DePaul-managed device.

• GPT4All: Runs large language models locally on consumer hardware.
• llamafile: Packages a model into a single file you can run. Simon Willison explains how to run a llamafile on a Mac.
• LLM: Command-line tool and Python library for working with large language models.
• LM Studio: Desktop app for running models on your laptop.
• MLC LLM: Runs models across many devices, including Android and iOS.
• Ollama: Runs models on macOS, Windows and Linux.

Images

• Adobe Firefly: Adobe's image generation and editing tool.
• Bing Image Creator: Microsoft's image generator.
• Craiyon: Free text-to-image generator (formerly DALL-E mini).
• Generative AI by Getty Images: Image generator trained on Getty's licensed library.
• Ideogram: Image generator known for rendering text accurately.
• Krea: AI image generation and editing.
• Microsoft Designer: Image creation and editing.
• Midjourney: Independent research lab offering AI image and video generation.
• Stable Diffusion: Open-source image generation models. Tools for running it include:
  • DiffusionBee: Runs Stable Diffusion locally on Apple silicon Macs.
  • Draw Things: Runs Stable Diffusion on iPhone, iPad and Mac.
  • Easy Diffusion: One-click installer for Windows and Linux PCs. Requires a capable graphics card.

Video

• AI Studios: AI avatar video generator (formerly DeepBrain).
• CapCut: Video editing and image design.
• D-ID: Digital avatars.
• Descript: Edits video and podcasts by editing the transcript.
• HeyGen: Digital avatars and video translation.
• Opus Clip: Repurposes long videos into short clips.
• Pictory: Creates videos from scripts, articles and longer videos.
• quso.ai: Creates short clips from longer videos (formerly Vidyo).
• Runway: Creative suite for AI image and video generation and editing.
• Synthesia: AI video creation with stock or custom avatars in many languages.

Audio, Voice and Music

• Adobe Podcast: Cleans up voice recordings and edits audio in a web browser.
• Azure AI Speech: Microsoft's speech-to-text, text-to-speech and translation services.
• ElevenLabs: AI voice generation and text to speech.
• Murf: AI text to speech.
• Speechify: Text-to-speech app.
• Suno: AI song generator.
• Udio: AI song generator.

Transcription and Meeting Notes

• AudioPen: Transcribes and tidies up voice notes.
• Fireflies: Records and transcribes meetings.
• MeetGeek: Transcribes and summarizes meetings.
• Whisper: OpenAI's open-source speech recognition model.

Presentations and Productivity

• Beautiful.ai: Slide templates with AI-assisted design.
• Gamma: Generates presentations, documents and web pages.
• Mem: Self-organizing AI note-taking workspace.
• SlidesGPT: Generates PowerPoint and Google Slides presentations.
• Whimsical: AI-generated mind maps.

Language Translation

• DeepL: Free and paid language translation.

Career and Interview Preparation

• Big Interview: AI-powered mock interviews.

Marketing, Content and Social Media

• 6sense: B2B customer prediction.
• ABtesting.ai: AI-driven A/B testing for landing pages.
• AdCreative.ai: AI-generated ad banners and creative.
• Agorapulse: Social media management with AI content tools.
• Alli AI: No-code SEO.
• Amazon Personalize: Machine learning–powered personalization.
• Attention Insight: Predicts where viewers will look before a design launches.
• Canva: Design platform with AI tools.
• Ceros: Interactive content design with AI tools.
• Copy.ai: AI writing tool for sales and marketing teams.
• Dynamic Yield: Personalization and experience optimization.
• Flick: AI social media marketing assistant.
• Frase: Researches, writes and optimizes content for search.
• Jacquard: AI-generated marketing messages (formerly Phrasee).
• Jasper: AI copywriting platform.
• Lately: Turns long-form content into social media posts.
• MarketMuse: AI content planning and analysis.
• Mutiny: No-code website personalization for B2B.
• Omneky: AI-generated social media ads.
• Optimizely: A/B testing, personalization and content management.
• QuantPlus: Breaks ads into elements and compares each element's performance.
• rasa.io: Personalized newsletters.
• Unbounce: AI landing page creation and optimization.
• VWO: Website testing and optimization.
• Webflow Optimize: Personalizes website content for each visitor (formerly Intellimize).
• Writer: Enterprise AI writing platform that keeps content on brand.
• Yext: AI-powered content management for websites and apps.

Keep Learning

Online Courses

• AI Ethics: Lectures on the ethical implications of data and AI from multiple perspectives.
• ChatGPT Prompt Engineering for Developers: Short course from DeepLearning.AI and OpenAI.
• CS11-711 Advanced NLP: Carnegie Mellon University course materials. Includes a lecture on prompting.
• Elements of AI: Free introductory course from the University of Helsinki. Follow-up courses:
  • Building AI
  • Ethics of AI
• Hugging Face Courses: Free courses on machine learning and large language models.
• Intro to Large Language Models: One-hour video by Andrej Karpathy.
• Learn Prompting: Introductory course on prompt engineering.
• LinkedIn Learning (sign in with your DePaul account):
  • How to Research and Write Using Generative AI Tools
  • Introduction to Prompt Engineering for Generative AI
  • Prompt Engineering: How to Talk to the AIs
• Neural Networks and Deep Learning: Coursera course from DeepLearning.AI.
• Prompt Engineering 101: Autocomplete, Zero-Shot, One-Shot and Few-Shot Prompting: Video.
• Supervised Machine Learning: Regression and Classification: Coursera course from DeepLearning.AI and Stanford Online.
• Udacity School of Artificial Intelligence: Paid programs in AI and machine learning.

Books

• AI 2041: Ten Visions for Our Future by Kai-Fu Lee and Chen Qiufan
• Artificial Intelligence: A Modern Approach, 4th U.S. Edition by Stuart Russell and Peter Norvig
• Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning by James V. Stone
• Artificial Intelligence with Python, 2nd Edition by Alberto Artasanchez and Prateek Joshi
• Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville (free online)
• Pattern Recognition and Machine Learning (PDF) by Christopher M. Bishop (free from Microsoft Research)
• Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus and Ernest Davis

Foundational Readings (2022–2023)

These articles shaped early conversations about generative AI in education.

• AI Homework: Ben Thompson, Stratechery
• How an Indie Dev Used ChatGPT to Build an iPhone App from Scratch: Cult of Mac
• If You're Not Using ChatGPT for Your Writing, You're Probably Making a Mistake: Ethan Mollick and Lilach Mollick, Vox
• The College Essay Is Dead: Stephen Marche, The Atlantic
• The Full Story of Large Language Models and RLHF: AssemblyAI
• What Do AI Chatbots Really Mean for Students and Cheating?: Stanford Graduate School of Education
• What Is ChatGPT Doing … and Why Does It Work?: Stephen Wolfram

Research

• Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? 🦜 In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623).
• Borade, J. G., & Netak, L. D. (2021). Automated grading of essays: A review. In Intelligent Human Computer Interaction (pp. 238–249). Springer.
• Evans, O., Lin, S., & Hilton, J. (2022). How do new models from OpenAI, DeepMind and Anthropic perform on TruthfulQA? AI Alignment Forum.
• Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A., & Prather, J. (2022). The robots are coming: Exploring the implications of OpenAI Codex on introductory programming. In Australasian Computing Education Conference (pp. 10–19).
• Giattino, C., Mathieu, E., Broden, J., & Roser, M. (2022). Artificial intelligence. Our World in Data.
• Goldstein, J. A., Sastry, G., Musser, M., DiResta, R., Gentzel, M., & Sedova, K. (2023). Generative language models and automated influence operations: Emerging threats and potential mitigations. arXiv preprint arXiv:2301.04246.
• Huang, S., Dong, L., Wang, W., Hao, Y., Singhal, S., Ma, S., Lv, T., et al. (2023). Language is not all you need: Aligning perception with language models. arXiv preprint arXiv:2302.14045.
• Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
• Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, 114, 106553.
• Mollick, E. R., & Mollick, L. (2022). New modes of learning enabled by AI chatbots: Three methods and assignments. SSRN.
• Mollick, E. R., & Mollick, L. (2023). Using AI to implement effective teaching strategies in classrooms: Five strategies, including prompts. SSRN.
• Moya, B., Eaton, S. E., Pethrick, H., Hayden, K. A., Brennan, R., Wiens, J., McDermott, B., & Lesage, J. (2023). Academic integrity and artificial intelligence in higher education contexts: A rapid scoping review protocol. Canadian Perspectives on Academic Integrity, 5(2), 59–76.
• Tang, J., LeBel, A., Jain, S., & Huth, A. G. (2023). Semantic reconstruction of continuous language from non-invasive brain recordings. Nature Neuroscience, 26, 858–866.
• Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.