The goal becomes substantive, competing explanations remain open, and conditional interventions follow the diagnosis. A candidate conflict, prerequisites and conditional steps complete the six views. All reasoning remains proposed; no evidence, selected setting, owner, date, trial or observed outcome is invented.
- Reworded
Replace the initial procedural goal with David’s proposed substantive goal.
Before
People make informed, revisable choices about developing and using AI.Current wordingPeople and institutions approach AI development and use wisely, with defensible reasons for the aims, risks and responsibilities they accept.
- Reworded
Retain uncertainty as one competing hypothesis and record that it could also encourage restraint.
and 1 connection - Reworded
Replace the direct connection with four joint conditions: review points, usable evidence, authority and incentives, and feasible alternatives.
Before
Explicit review points alone were connected to consequential revision.Current wording“Decision makers use explicit review points to revisit AI choices against emerging evidence.” and “Usable evidence about the decision and its consequences is available.” and “Decision makers have authority and incentives to act on review findings.” and “Feasible alternatives to the current decision are available.” causes “AI choices can be revised when evidence changes their justification.”
and 1 connection - Added
Incorporate the supplied analysis across all six trees, preserving its attribution and unresolved reasoning.
AI’s intended ends are defensible and its pursuit of them is adequately supported.Development choices account for alignment uncertainty, catastrophe and alternatives.Adoption decisions account for agency, relationships and institutions.Treatment of AI responds responsibly to uncertain moral standing.Decision makers can restrain action before consequences become irreversible.AI alignment ends may be contested.AI alignment value choices may remain implicit.Some technical alignment disagreements may conceal ethical disagreements.AI developers may face competitive pressure.Developers may see restraint as a competitive disadvantage.Coordination that could support restraint may be weak.Some actors may proceed despite recognising AI risks.Some AI uses may delegate human judgment.Some AI uses may reduce opportunities to practise judgment.Some AI uses may weaken human agency.AI’s possible moral standing may remain uncertain.Criteria for responding to possible AI moral standing may be absent.Potentially important AI moral considerations may receive inconsistent treatment.The still-unspecified AI development decision is defensible.The decision meets needs for timely benefits and security.The decision protects against unacceptable harm.Release the selected capability now.Defer release of the selected capability.Usable evidence about the decision is available.Decision makers have authority and incentives to act.Feasible alternatives are available.Make ethical aims and disagreements explicit.Explicit aims may expose assumptions hidden inside evaluations.Alternatives can be assessed against defensible criteria.Introduce a specific wisdom-derived practice with a mechanism and limits.The practice may change attention, motivation or judgment through its mechanism.A specified aspect of decision making may improve.Establish proportionate safeguards or coordination.Safeguards or coordination may change actors’ options or motivation.Restraint or redirection becomes practicable.Formal review may create unwarranted reassurance.Unwarranted reassurance may contribute to premature action.Require substantive criteria; completing review is not enough.Apply safeguards before actions whose harms could be irreversible.One decision practice can be responsibly tested in a defined setting.“Wise” remains underspecified.Evaluation criteria, disagreements and unacceptable outcomes are explicit.The causal diagnosis is unsupported.Evidence distinguishes the leading explanation from credible alternatives.The contribution from a tradition is vague.A specific practice, mechanism and limits are identified.The proposed change exceeds participants’ powers.A feasible intervention and relevant decision authority are identified.Success could be confused with completing the process.Outcome measures, guardrails and reconsideration criteria are defined.AI choices are discussed generally.Select one actor, decision and time horizon.Alternatives and responsibilities become concrete.Important premises remain implicit.Record aims, empirical claims and disagreements.The decision’s justification becomes inspectable.Several explanations could fit.Gather evidence that distinguishes the explanations.The intervention can target a better-supported mechanism.A bounded intervention is sufficiently justified.Specify a guarded test; conduct it only where appropriate.A responsible test can make evidence about effects available.Results are available.Compare results with the prediction and alternatives.The affected claims and next decision can be revised.and 38 connections