1. The OECD AI Principles, the first intergovernmental AI policy standard, were adopted in what year?
Correct. The OECD AI Principles were adopted in 2019 and endorsed by 46 countries — the first intergovernmental AI policy standard.
The OECD AI Principles were adopted in 2019 — predating most national AI strategies and regulatory frameworks.
2. The "adoption stack" concept from Lesson 4 refers to:
Correct. The adoption stack encompasses all the non-technical conditions that must align for a technically capable AI system to reach scale deployment. Each layer has its own timeline, and forecasts that ignore the adoption stack systematically overestimate deployment speed.
The adoption stack is the full set of non-technical prerequisites for scale deployment: regulatory, liability, user-trust, workflow, training, and sometimes physical infrastructure conditions. Forecasts that ignore it consistently produce overconfident timelines.
3. Denmark's flexicurity model differs from US labor policy primarily in:
Correct. Flexicurity combines flexible employment rules with robust income support (90% wage replacement for 2 years) and active labor market programs, funded at roughly 20 times the US rate of labor market policy investment.
Flexicurity combines flexible employment (easy to hire and fire) with robust support (up to 90% wage replacement for 2 years plus active retraining) — funded at ~2% of GDP compared to the US's ~0.1% investment in labor market policy.
4. Scaling laws were first documented systematically in AI by researchers at which organization, and published in which year?
Correct. The Kaplan et al. scaling laws paper was published by OpenAI in January 2020, documenting the power-law relationship between compute, parameters, data, and model performance.
OpenAI, 2020. The Kaplan, McCandlish et al. paper established the foundational scaling law results that shaped subsequent large model development.
5. Amsterdam's AI system for social services embodied which flourishing design principle?
Correct.
Review Lesson 4 — Amsterdam's system kept humans in the role of relationship and judgment while AI surfaced information.
6. Richard Sennett's argument in The Craftsman (2008) is most relevant to AI and flourishing because:
Correct.
Review Lesson 2 — Sennett argued skilled work's identity-forming power comes from genuine resistance, which AI can remove.
7. AlphaFold2's 200 million protein structure database was significant primarily because:
Correct. The database's scale — 200 million versus 50 years of ~170,000 experimental structures — represents a qualitative change in scientific possibility, and its free release maximized research impact.
The key significance was scale and access: 200 million structures dwarfing 50 years of ~170,000 experimental ones, released freely to any researcher worldwide.
8. What was distinctive about the UK's approach to AI regulation compared to the EU in 2023?
Correct. The UK explicitly positioned itself as "pro-innovation" and eschewed binding AI legislation in 2023, instead directing existing sectoral regulators — financial, pharmaceutical, transport — to apply AI guidance within their domains.
The UK chose not to pass binding AI legislation, instead directing existing sectoral regulators to apply their own AI guidance — a deliberate contrast to the EU's comprehensive regulatory framework.
9. What did the WGA secure in its 2023 contract regarding AI and screenwriting?
Correct. The WGA's 148-day strike produced the first major collective bargaining AI provisions in entertainment: no AI script replacement of union writers, and no use of union material for AI training without consent.
The WGA secured two key provisions: AI cannot generate script content replacing union writers, and studios cannot use existing union-written material to train AI models without writer consent — the first systematic collective bargaining framework for AI in US entertainment.
10. The "proximity paradox" in AI labor economics refers to:
Correct. The proximity paradox inverts the typical historical pattern: instead of technology hitting low-wage physical workers first, AI hits high-wage cognitive workers first.
The proximity paradox describes the counterintuitive finding that high-wage knowledge jobs face higher near-term AI exposure than low-wage physical jobs — inverting historical displacement patterns where technology usually hits manual workers first.
11. In what month and year did the European Parliament pass the EU AI Act?
Correct. March 2024, with a 523–46 vote after contentious December 2023 negotiations over foundation models.
The EU AI Act passed in March 2024 with a 523–46 vote.
12. The NIST AI Risk Management Framework is organized around which four functions?
Correct. NIST AI RMF's four functions are Govern, Map, Measure, and Manage — published January 2023.
The NIST AI RMF functions are Govern, Map, Measure, and Manage.
13. Guillaume Chaslot's 2019 analysis of YouTube's recommendation algorithm found that content radicalization was:
Correct.
Review Lesson 3 — radicalization was a side effect of the algorithm working exactly as designed, optimizing for watch time.
14. Why is generative AI potentially different from previous automation waves according to economists like Daron Acemoglu?
Correct. Generative AI can perform non-routine cognitive tasks — the exact job category that absorbed workers displaced by previous automation. This makes it potentially disruptive in a qualitatively different way.
The concern is that generative AI threatens non-routine cognitive tasks — analysis, writing, reasoning — which historically grew as routine tasks were automated. Removing this buffer is what makes this wave potentially different.
15. Which of the following best describes the fundamental challenge of AI governance timescales?
Correct. This mismatch — quarterly capability improvements versus multi-year policy cycles — is identified throughout the module as a defining structural challenge of AI governance.
The core timescale problem is that AI capabilities improve on quarterly cycles while policy, legislation, and standards development moves on multi-year cycles — creating a persistent governance gap.
16. Jan Leike's resignation from OpenAI's Superalignment team alleged that what specific promised resource was not delivered?
Correct. Leike publicly stated the Superalignment team had been promised 20% of compute for safety research — a commitment he alleged was not honored.
Leike specifically alleged the promised 20% compute allocation for safety research was not delivered.
17. The IBM Watson oncology project at MD Anderson was suspended after $62 million in spending primarily because:
Correct.
Review Lesson 1 — Watson was trained on hypothetical scenarios and produced unsafe clinical recommendations.
18. The UCL 2020 study on GPS navigation found that habitual GPS users showed:
Correct.
Review Lesson 1 — the UCL study found less hippocampal and caudate nucleus engagement in habitual GPS users, illustrating the dependency risk.
19. The Bletchley Park AI Safety Summit (November 2023) produced what type of international agreement?
Correct. The Bletchley Declaration was non-binding, signed by 28 countries plus the EU — including China — but created no enforcement mechanism or binding timelines.
The Bletchley Declaration was non-binding — a political statement, not a treaty — signed by 28 countries, including China.
20. Anthropic's corporate structure includes what special governance body related to its mission?
Correct. Anthropic's Long-Term Benefit Trust holds the company's mission and retains the ability to appoint board members if the company deviates from its safety focus.
Anthropic's Long-Term Benefit Trust can appoint board members if the company strays from its safety mission — the key structural protection distinguishing it from a standard PBC.