The AI
Choice
Into the Light, Into the Dark
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Resources
📚 Resources & Bibliography
🧰 Practical Frameworks
🔧 The "Crawl, Walk, Run" Framework - Gradual AI adoption methodology
🔧 DETECT-DECIDE-DEMAND Ethics Toolkit - Five-question filter for AI tool assessment
🔧 Conscious Engagement Principles - Daily practices for human agency preservation
🔧 AI Impact Assessment Checklist - Comprehensive evaluation for business/personal use
🔧 Human-AI Collaboration Models - Frameworks for augmentation vs replacement
🔧 Digital Minimalism Strategies - Maintaining humanity in automated environments
📖 Key References
• Moravec's Paradox - Understanding AI limitations and capabilities
• The alignment problem in AI development and safety research
• Economic displacement patterns in technological revolutions
• Human well-being metrics in automated societies
• Authenticity preservation in AI-generated content
• Consciousness and the hard problem in AI ethics
• Existential risk assessment and prevention strategies
• Brain-computer interfaces and human enhancement
• AI governance frameworks and international cooperation
• Deepfake detection and content verification systems
🏛️ Research Institutions
🏛️ Stanford Institute for Human-Centered AI - Leading research in AI safety and human-AI interaction
🏛️ MIT Initiative on the Digital Economy - Economic impact modeling and analysis
🏛️ Future of Humanity Institute - Existential risk research and AGI timeline predictions
🏛️ Anthropic - Constitutional AI and scalable oversight techniques
🏛️ DeepMind Safety Research - AI alignment and capability control
🏛️ Partnership on AI - Multi-stakeholder governance and ethics frameworks
👤 Key Experts
👤 Dr. Stuart Russell (UC Berkeley) - Human Compatible AI and control problem research
👤 Dr. Fei-Fei Li (Stanford) - Human-centered AI principles and practices
👤 Dr. Erik Brynjolfsson (Stanford) - Digital economy and AI productivity research
👤 Dr. Andrew McAfee (MIT) - Digital transformation and economic impact
👤 Nick Bostrom (Oxford) - Existential risk and superintelligence research
👤 Eliezer Yudkowsky - AI safety theory and alignment problem
📊 Current Research
📊 Stanford AI Index 2024 - Comprehensive annual report on AI progress and impact
📊 MIT Technology Review AI Issue - Latest developments in AI safety and capabilities
📊 Future of Humanity Institute AGI Timeline Survey - Expert predictions on AI development
📊 World Bank AI Development Report - Economic impact in developing economies
📊 OECD AI Policy Guidelines - International frameworks for responsible AI governance
📊 IEEE Standards for AI Ethics - Technical standards for ethical AI development
📚 Essential Reading
📚 Human Compatible by Stuart Russell - The definitive work on AI alignment and control
📚 Life 3.0 by Max Tegmark - Comprehensive scenarios for AI's impact on humanity
📚 Weapons of Math Destruction by Cathy O'Neil - Algorithmic bias and social harm
📚 The Age of Surveillance Capitalism by Shoshana Zuboff - Technology and power structures
📚 The Shallows by Nicholas Carr - How technology changes human cognition
📚 Superintelligence by Nick Bostrom - Paths, dangers, and strategies for advanced AI
📚 Race After Technology by Ruha Benjamin - AI bias and social justice
📚 The Filter Bubble by Eli Pariser - Algorithmic curation and information bubbles