Technology Study Guide

📖 Core Concepts Technology – the purposeful use of knowledge to create reproducible tools, products, or systems (both tangible like machines and intangible like software). General‑purpose technology (GPT) – a breakthrough that reshapes many sectors (e.g., steam power, electricity, computers) and drives long‑term economic growth. Engineering – the problem‑solving process that builds technology under real‑world constraints (materials, cost, safety). Technological determinism – the view that technologies cause inevitable social change. Social constructivism – the view that cultural, political, and economic forces shape which technologies appear and how they are used. Techno‑ethics – the study of moral responsibilities surrounding the creation, deployment, and regulation of technology (bioethics, AI ethics, engineering ethics, etc.). Emerging technologies – novel fields not yet mature (nanotech, synthetic biology, 3‑D printing, blockchain, autonomous robots). --- 📌 Must Remember Earliest tech: stone tools (2 M yr ago) → control of fire (1.5 M yr) → wheel (5 300 BC). Industrial milestones: First Industrial Revolution (≈1760‑1840): steam engines → factories, mechanized textiles. Second Industrial Revolution (≈1870‑1914): electricity, internal‑combustion engines, mass production. Solow growth model: long‑run growth ≈ exogenous technological change (technology = “engine of growth”). Impact dichotomy: tech raises prosperity and creates drawbacks (pollution, resource depletion, unemployment). Philosophical camps: determinism ↔ constructivism; both influence policy debates. Key ethical domains: bioethics (cloning, gene editing), AI ethics (bias, alignment), cyberethics (privacy, IP). Emerging tech risks: nanotech health effects, autonomous‑robot weaponization, geoengineering governance disputes. --- 🔄 Key Processes | Process | Steps (high‑yield) | |---------|-------------------| | Neolithic Revolution | 1️⃣ Domesticate plants/animals → 2️⃣ Systematic farming → 3️⃣ Sedentary villages → 4️⃣ Population growth → 5️⃣ Labor specialization → 6️⃣ Writing & record‑keeping. | | Technology Diffusion (generic) | 1️⃣ Invention (often trial‑and‑error) → 2️⃣ Early adoption by specialists → 3️⃣ Standardization → 4️⃣ Mass production → 5️⃣ Wide societal impact (economic, labor, cultural). | | Environmental‑Technology Mitigation | 1️⃣ Identify pollutant/source → 2️⃣ Engineer capture/reuse system (e.g., carbon capture) → 3️⃣ Deploy at scale → 4️⃣ Monitor effectiveness → 5️⃣ Adjust for unintended side‑effects. | | AI Ethics Governance | 1️⃣ Hazard identification (bias, safety) → 2️⃣ Stakeholder consultation → 3️⃣ Draft transparent standards → 4️⃣ Implement audit mechanisms → 5️⃣ Periodic review & update. | --- 🔍 Key Comparisons Technological Determinism vs Social Constructivism Determinism: technology → social change (inevitable). Constructivism: society, law, culture → which technologies emerge and how they’re used. Tool‑Centric vs System‑Centric View Tool: isolated artifact (e.g., a hammer). System: network of artifacts, knowledge, practices (e.g., the whole smartphone ecosystem). Early Human Tech vs Modern Tech Early: low‑tech, direct manipulation (stone, fire). Modern: high‑tech, layered abstractions (software, nanomaterials). Bioethics vs AI Ethics Bioethics: focuses on living organisms, cloning, genetics. AI Ethics: focuses on algorithms, data privacy, algorithmic bias. --- ⚠️ Common Misunderstandings “Technology is always beneficial.” → Ignores pollution, resource depletion, and displacement effects. “All technology follows scientific discovery.” → Many inventions (e.g., jet engine, penicillin) arose from tinkering before theory caught up. “AI will only create jobs.” → Employment effects are uncertain; AI can both displace and create roles. “Geo‑engineering is a solved solution to climate change.” → It remains controversial, with major governance and side‑effect concerns. --- 🧠 Mental Models / Intuition Layer‑of‑Abstraction Model: Each new technology adds a layer (e.g., fire → tools → machines → computers → AI) that expands what humanity can do without re‑learning the lower layers. GPT Cycle: New GPT → Productivity surge → New industries → Skill shift → Next GPT. Constraint‑Driven Design: Engineers choose solutions by balancing function, cost, materials, and time – think of a “design triangle.” --- 🚩 Exceptions & Edge Cases AI employment impact – surveys show no consensus; outcomes depend on policy, retraining, and industry specifics. Solow model’s exogenous tech assumption – real‑world tech can be endogenous (policy‑driven R&D, subsidies). Climate engineering – technically feasible but ethically and politically contested; not a guaranteed “fix.” Historical linearity myth – technological progress is punctuated by setbacks (e.g., loss of knowledge after the fall of Rome). --- 📍 When to Use Which Choosing a theoretical lens: Use determinism when explaining rapid, large‑scale shifts (e.g., steam power’s impact on urbanization). Use constructivism for case studies where policy or culture redirected a technology (e.g., nuclear power regulation). Evaluating impact: Economic lens → focus on GDP, productivity, job creation. Environmental lens → examine emissions, resource cycles, remediation potential. Ethical framework selection: Bioethics → any manipulation of living matter (CRISPR, cloning). AI ethics → algorithmic decision‑making, data privacy, autonomous weapons. --- 👀 Patterns to Recognize “General‑purpose → Standardization → Mass Production → Societal Shift.” “Innovation → Regulation → Market Adoption → Second‑generation Innovation.” (e.g., early automobiles → safety laws → modern electric vehicles). “Tool → System → Platform” progression (e.g., printing press → publishing industry → digital platforms). --- 🗂️ Exam Traps Distractor: “Technology is only tangible objects.” – Overlooks software, protocols, and other intangible products. Distractor: “All technological change is driven by scientific breakthroughs.” – Misses the many inventions born from trial‑and‑error or accidental discovery. Distractor: “AI will inevitably replace all human labor.” – Ignores evidence of job transformation and new occupational categories. Distractor: “Geo‑engineering has unanimous global support.” – Overstates consensus; political and ethical opposition is strong. Distractor: “The Industrial Revolution was a single, uniform event.” – Actually a series of regional, sector‑specific innovations spanning decades. ---