THE FIELD GUIDE
A clearer understanding of AI.
Plain-English guides for attorneys and business owners. Start with the fundamentals, then explore how to use AI with judgment.
10 Industries Affected by Artificial Intelligence
Explore how AI affects ten industries, including law, healthcare, finance, education, and manufacturing, with examples of opportunities and challenges.
Read the guide →AI FIELD GUIDEAI Alignment: Goals, Challenges, and Human Values
Learn what AI alignment means, why matching AI behavior to human goals is difficult, and how alignment relates to responsible AI and general intelligence.
Read the guide →AI FIELD GUIDEAI Assistants for Legal and Professional Work
Explore how AI assistants support drafting, summarization, research, and workflows, and why confidentiality, verification, and oversight matter.
Read the guide →AI FIELD GUIDEAI Terms Explained: Models, Algorithms, and Training
A plain-English introduction to AI terms, including models, algorithms, training, supervised learning, and context windows, for professional readers.
Read the guide →AI FIELD GUIDEResponsible AI: Fairness, Privacy, and Accountability
Understand responsible AI through fairness, transparency, accountability, privacy, and security, and why these principles matter in professional work.
Read the guide →AI FIELD GUIDEThe AI Black Box Problem: Explainability and Trust
Understand the AI black box problem, why model decisions can be difficult to explain, and what that means for trust, accountability, and oversight.
Read the guide →AI FIELD GUIDEWhat Are AI Agents? Assistants, Autonomy, and Legal Work
Understand AI agents, how they differ from assistants, and the opportunities and oversight questions they raise for legal and professional workflows.
Read the guide →AI FIELD GUIDEWhat Is AGI? General AI vs. Narrow AI
Understand artificial general intelligence, how it differs from narrow AI, and the distinction between current capabilities and the broader goal of AGI.
Read the guide →AI FIELD GUIDEWhat Is AI Fine-Tuning? Training vs. Prompting
Understand fine-tuning as further training of an existing AI model, how it differs from prompting, and questions to consider before using it.
Read the guide →AI FIELD GUIDEWhat Is Artificial Intelligence? A Plain-English Guide
Understand what artificial intelligence means, how it relates to machine learning, and the difference between narrow AI and general AI.
Read the guide →AI FIELD GUIDEWhat Is Generative AI? How It Works and Examples
Learn how generative AI creates text, images, and other content, explore practical examples, and understand how it differs from other AI systems.
Read the guide →AI FIELD GUIDEWhat Is Narrow AI? Definition and Everyday Examples
Understand narrow AI, also called artificial narrow intelligence, through everyday examples and a comparison with the broader goal of general AI.
Read the guide →AI FIELD GUIDEWhat Is an AI Context Window? Tokens and Limits
Understand an AI context window, how it limits the information a model can use, and why that matters for long documents and conversations.
Read the guide →AI FIELD GUIDEWhat Is an AI Prompt? Examples and Better Instructions
Learn what an AI prompt does, see examples, and understand how context, instructions, and prompt engineering shape a language model’s responses.
Read the guide →AI FIELD GUIDEWhat Is the AI Singularity? Ideas and Uncertainty
Explore the idea of an AI singularity, recursive self-improvement, and superintelligence, including competing perspectives on feasibility and timing.
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