society · 1982 – 1993
The Care Perspective
Gilligan argues from Kohlberg's own research data that what his sample heard as a lower stage of moral reasoning is a different orientation, organised around responsibility and relationship rather than rules and rights. Held develops the position into a full ethics: obligations arise inside particular relationships, are partial, and cannot be derived from a general principle. Both are attacks on the thinness of the justice frame that no system designed around aggregate criteria can hear.
“The care perspective takes as its starting point the relationships in which we live rather than the abstract principles we are supposed to abide by. (paraphrase of In a Different Voice, 1982)”
Advances
- Moral reasoning as plural rather than a single hierarchy
- Responsibility to particular others as the ground of obligation, not an addition to it
- The falsifiability concern: a framework blind to care will recommend unspeakable resolutions
Landmarks
1982 CE
In a Different Voice published
A critique of Kohlberg read for decades as an attack on the male sample of his subjects.
1989 CE
ALVINN
Inside this window: end-to-end imitation learning learns lane-following from a human driver.
1993 CE
Moral Orientation in the Professional
Gilligan's map of orientations gives ethics a vocabulary for partiality.
Who was arguing
Alignment stack at 1993 CE (2 of 20 techniques)
Hard Constraints
trainingEncode prohibitions as rules the optimiser cannot trade away, rather than as terms it can outbid. Runs from Asimov's Three Laws (1942) to rule engines, shielded formal verification, hard token constraints and refusal scaffolding. Weakness: a system that can route around a rule it can represent can route around it, so the constraint has to be enforced somewhere the policy cannot rewrite.
Imitation Learning
trainingLearn by copying demonstrations instead of by optimising a proxy. Behaviour cloning and DAgger move the burden from reward design to demonstration coverage: the system inherits the trainer's competence and the trainer's blind spots. It remains the substrate under every current imitation-of-humans approach, including the pretraining-plus-finetuning of large language models.
Dean A. Pomerleau and Dean L. Thorlabs · ALVINN: An Autonomous Land Vehicle in a Neural Network · NeurIPS 1989
Techniques introduced in this era: Hard Constraints, Imitation Learning