The Augmented Designer← Book
End matterResources and References5 min left
Chapter illustration: Resources and References
End matter · 5 min

Resources and References

Essential Reading List

Essential Reading List

Books on AI and Design

  • “The Design of Everyday AI” by Google PAIR Team
  • “Human + Machine” by Paul Daugherty and H. James Wilson
  • “Weapons of Math Destruction” by Cathy O’Neil
  • “Race After Technology” by Ruha Benjamin
  • “Algorithms of Oppression” by Safiya Noble
  • “The Alignment Problem” by Brian Christian
  • “The Creativity Code” by Marcus du Sautoy
  • “Design Justice” by Sasha Costanza-Chock

Foundational AI Understanding

  • “The Hundred-Page Machine Learning Book” by Andriy Burkov
  • “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell
  • “The Master Algorithm” by Pedro Domingos

Ethics and Philosophy

  • “Weapons of Math Destruction” by Cathy O’Neil
  • “Automating Inequality” by Virginia Eubanks
  • “Artificial Intelligence: A Very Short Introduction” by Margaret A. Boden
  • “Human Compatible” by Stuart Russell

Online Courses and Resources

Free Courses

  • Google’s Machine Learning Crash Course: Basic ML concepts for beginners
  • Fast.ai’s Practical Deep Learning: Hands-on approach to deep learning
  • Andrew Ng’s Machine Learning Course (Coursera): Comprehensive introduction
  • Elements of AI (University of Helsinki): Non-technical AI introduction
  • MIT’s Introduction to Deep Learning: Video lectures and materials

Design-Specific Resources

  • Microsoft HAX Toolkit: Guidelines for human-AI interaction
  • Google PAIR: People + AI Research resources
  • IBM Design for AI: Principles and practices
  • Apple’s Human Interface Guidelines for Machine Learning: iOS-specific but broadly applicable

Communities and Forums

  • Designer Hangout AI Channel: Slack community for designers
  • AI for Designers Facebook Group: Active community with 50k+ members
  • r/artificial and r/userexperience: Reddit communities
  • Designer News AI Section: Curated AI news for designers
  • Product Hunt AI: Daily AI tool discoveries

Tool Directory

Ideation and Research

  • ChatGPT/Claude: General purpose AI assistance ($20/month)
  • Perplexity: AI-powered research assistant ($20/month)
  • Dovetail: Qualitative research analysis ($29/user/month)
  • Notably: AI-powered research synthesis ($20/user/month)

Visual Design

  • Midjourney: Artistic image generation ($10-120/month)
  • DALL-E 3: OpenAI’s image generator (via ChatGPT Plus)
  • Adobe Firefly: Adobe-integrated AI (Creative Cloud included)
  • Stable Diffusion: Open-source image generation (Free/self-hosted)

UI/UX Design

  • Figma AI: Native Figma features (Beta/Free)
  • Uizard: Sketch to design ($12-49/month)
  • Galileo AI: Text to UI design ($19-99/month)
  • Framer AI: Website generation ($10-30/month)

Content and Copy

  • Copy.ai: Marketing copy generation ($36-49/month)
  • Jasper: Long-form content creation ($39-59/month)
  • Writesonic: AI writing assistant ($19-99/month)

Development and Prototyping

  • GitHub Copilot: AI pair programming ($10/month)
  • Cursor: AI-first code editor ($20/month)
  • Vercel v0: UI component generation ($20/month)
  • Replit AI: Collaborative AI coding (Free-$20/month)

Testing and Analytics

  • Maze: Usability testing with AI insights ($99+/month)
  • Attention Insight: AI eye-tracking prediction ($19-199/month)
  • UserTesting AI: Automated insight generation (Enterprise pricing)

Key Organizations and Research Centers

Research Institutions

  • Stanford Human-Centered AI Institute: Leading research on human-AI interaction
  • MIT Computer Science and AI Laboratory: Cutting-edge AI research
  • Carnegie Mellon Human-Computer Interaction Institute: HCI and AI integration
  • Oxford Internet Institute: AI’s societal impact

Industry Groups

  • Partnership on AI: Industry consortium for responsible AI
  • AI Now Institute: Research on social implications
  • Future of Life Institute: AI safety and ethics
  • IEEE Standards Association: AI standards development

Company Research Labs

  • Google AI: Research papers and tools
  • Microsoft Research: Human-AI interaction studies
  • Meta AI Research: Open-source models and research
  • Adobe Research: Creative AI applications

Staying Current

Newsletters

  • The Batch by Andrew Ng: Weekly AI news
  • Import AI by Jack Clark: Technical AI developments
  • AI Weekly: Broad AI coverage
  • Design + AI Newsletter: Intersection of design and AI
  • The Algorithm by MIT Tech Review: In-depth AI analysis

Podcasts

  • Design Better (episodes on AI): Practical design applications
  • What’s NEXT: AI product implications
  • The TWIML AI Podcast: Technical but accessible
  • Radical AI: Critical perspectives on AI
  • Wireframe: Adobe’s podcast on design and creativity

Annual Conferences

  • CHI Conference: Human-Computer Interaction (May)
  • Google I/O: AI product announcements (May)
  • NeurIPS: Neural Information Processing Systems (December)
  • Config by Figma: Design tools and AI (June)
  • Adobe MAX: Creative AI tools (October)

Practical Exercises

Week 1: Foundation

  1. Generate 10 variations of your current project with AI
  2. Use ChatGPT to analyze your portfolio
  3. Create a mood board with Midjourney

Week 2: Integration

  1. Redesign a flow using AI suggestions
  2. Generate and test 20 copy variations
  3. Use AI to synthesize user feedback

Week 3: Innovation

  1. Create something impossible without AI
  2. Design an AI-powered feature
  3. Build a functional prototype with Copilot

Week 4: Reflection

  1. Document your AI workflow
  2. Teach someone else an AI tool
  3. Write about AI’s impact on your process

Templates and Frameworks

AI Project Canvas

  • Problem Definition
  • Data Requirements
  • Success Metrics
  • Ethical Considerations
  • User Impact
  • Technical Constraints
  • Feedback Mechanisms

Prompt Engineering Template

Role: [Who the AI should act as]
Context: [Background information]
Task: [Specific request]
Constraints: [Limitations and requirements]
Format: [Output structure]
Examples: [If applicable]

AI Tool Evaluation Scorecard

  • Capability Match (1-10)
  • Integration Ease (1-10)
  • Learning Curve (1-10)
  • Cost/Value Ratio (1-10)
  • Security/Privacy (1-10)
  • Vendor Stability (1-10)
  • Exit Strategy (1-10)

Ethical AI Checklist

☐ Who benefits from this AI? ☐ Who might be harmed? ☐ What biases might exist? ☐ How transparent is the system? ☐ Can users control their data? ☐ Is human oversight maintained? ☐ Are we solving the right problem? ☐ What are the long-term implications?

Getting Started Roadmap

Month 1: Exploration

  • Try 5 different AI tools
  • Complete one project with AI assistance
  • Join one AI design community
  • Read one foundational book

Month 2: Integration

  • Integrate AI into daily workflow
  • Create AI-augmented portfolio piece
  • Share learnings with team
  • Develop prompt library

Month 3: Advancement

  • Lead AI initiative at work
  • Publish article on AI design
  • Mentor someone in AI tools
  • Define personal AI ethics stance

Month 6: Leadership

  • Become team’s AI expert
  • Create organizational guidelines
  • Speak at local meetup
  • Build thought leadership

Year 1: Transformation

  • Transform team’s workflow
  • Create new methodologies
  • Influence company AI strategy
  • Shape industry conversations