Missions & Values
This lab says it builds AI that is “reliable, interpretable, and steerable.”
What is Anthropic?
Why it matters: Mission lines preset expectations.
Anthropic’s named method that checks outputs against rules/values.
What is Constitutional AI?
Why it matters: Method name communicates norms-first.
Anthropic’s corporate form that centers public benefit.
What is a Public Benefit Corporation (PBC)?
Why it matters: Signals stewardship.
Name two OpenAI products that signal a general-purpose toolkit.
What are ChatGPT, DALL·E, Whisper, or the OpenAI API?
Why it matters: Shows multi-tool posture.
Headlines often brand Anthropic’s approach with this adjective.
What is “responsible” (development)?
Why it matters: Shapes trust cues.
This org’s mission is to ensure AI “benefits all of humanity.”
What is OpenAI?
Why it matters: Signals broad social scope.
: In Constitutional AI, outputs are checked against these.
What are explicit rules/ethical guidelines?
Why it matters: Legible to non-experts.
OpenAI’s structure balancing investment with mission limits.
What is a capped-profit model?
Why it matters: Signals scale under constraints.
Brand that teaches a flexible multi-tool vibe.
What is OpenAI?
Why it matters: Explains broad uptake.
Headlines describe OpenAI’s tempo with this phrase.
What is “rapid commercialization”?
Why it matters: Frames speed & ubiquity.
These public statements act as “meaning anchors” before any prompt.
What are mission statements?
Why it matters: They shape trust and use.
OpenAI’s alignment pipeline that learns from people’s preferences.
What is RLHF (reinforcement learning from human feedback)?
Why it matters: Human feedback can introduce bias.
Two labels that become a shortcut for motive—“care” vs “speed.”
What are PBC (Anthropic) and capped-profit (OpenAI)?
Why it matters: Handy but reductive heuristic.
Brand that’s framed as careful/steerable for complex reasoning.
What is Anthropic (Claude)?
Why it matters: Sets expectations for control.
Downside of “responsible vs. commercial” framing.
What is flattening nuance / polarizing discourse?
Why it matters: Reminds us to look deeper.
Besides “steerable,” name one Anthropic trait.
What is “reliable” or “interpretable”?
Why it matters: Cues careful behavior.
Anthropic’s intended outcomes (name one of three).
What is accuracy/safety/reliability?
Why it matters: Defines trust goals.
Risk of picking tools by label, not task.
What is misallocated trust / ignoring task risks?
Why it matters: Choose by task-fit.
Polished ≠ correctly—name this risk.
What is scope-creep / over-reliance on polish?
Why it matters: Prevents misuse.
One reason that simplified framing still helps.
What is quick comprehension of different roles?
Why it matters: Gives audiences an entry point.
OpenAI’s mission + breadth frame AI as this kind of collaborator.
What is a general-purpose multi-tool?
Why it matters: Encourages everyday adoption.
Risk of treating methods as guarantees, not probabilities.
What is over-trust / complacency about failures?
Why it matters: Keeps critical evaluation alive.
One practice to counter governance-label bias.
What is evaluating task-fit and risks directly?
Why it matters: Focuses judgment on the work.
One classroom safeguard for “multi-tool” use.
What is verifying citations/tracing sources / limiting by task?
Why it matters: Builds responsible habits.
A better rule than brand binaries when picking tools.
What is evaluating task-fit and risk directly?
Why it matters: Improves real-world choices.