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{
"projection_version": 4,
"release_id": "2026-10-26.1",
"snapshot_date": "2026-10-26",
"title": "Evolving Prosocial AI",
"people": [
{
"name": "David Joseph",
"role": "Supplied the source and requested this reconstruction; has not endorsed its reasoning"
}
],
"trees": {
"goal": {
"nodes": [
{
"id": "pa-g-goal",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "goal",
"text": "AI is designed, governed and used so that it strengthens cooperation and flourishing at the individual, organisational, societal and planetary scales, rather than extracting from them.",
"label": "AI strengthens cooperation and flourishing at every scale.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 9, Defining Prosocial AI",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, Alignment Across Scales",
"basis": "reconstruction"
}
]
},
{
"id": "pa-g-people",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "People's competence, autonomy and relatedness grow through their use of AI rather than wearing away.",
"label": "People's competence, autonomy and relatedness grow.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 28, Individual Level: Capability Enhancement and Agency Preservation",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-commons",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "Organisations that build AI treat it as a commons: those who contribute data, labour and creative work share in its benefits and have a real say in how it is run.",
"label": "Those who build AI share its benefits and a say.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 30–32, Organizational Level: Commons Governance and Cooperative Ownership",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 17, Interdependence and Commons Thinking",
"basis": "related"
}
]
},
{
"id": "pa-g-society",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "AI strengthens democratic participation, shared facts and the capacity of institutions, and widens real opportunity for marginalised groups.",
"label": "Democracy, shared facts and institutions get stronger.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 32–33, Societal Level: Democratic Strengthening and Institutional Enhancement",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-planet",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "AI's full lifecycle costs in energy, water and materials are accounted for, and it is designed to work within planetary boundaries and with ecological knowledge.",
"label": "AI works within planetary limits.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 34, Planetary Level: Regenerative Design and Ecological Integration",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-rewarding",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "Institutional arrangements make cooperation more rewarding than extraction, so prosocial AI does not depend on self-sacrifice against competitive pressure.",
"label": "Cooperation pays better than extraction.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 28, Section 4 opening",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, the principles transform reinforcement contingencies",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-worldviews",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "critical_success_factor",
"text": "Those who design, govern and use AI hold worldviews that value capability, interdependence and effects across scales, and treat AI's direction as a collective choice rather than an inevitability.",
"label": "Those shaping AI hold prosocial worldviews.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 11, Values in, Values out",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 16–20, Prosocial Worldviews",
"basis": "reconstruction"
}
]
},
{
"id": "pa-g-purpose",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Affected communities, not only shareholders and executives, agree what an AI system is for and whose interests it serves.",
"label": "Affected communities agree what AI is for.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP1 Shared Identity and Purpose",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-equity",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Those who contribute data, labour, creativity and resources receive proportional benefits, and costs are not pushed onto vulnerable people.",
"label": "Contributors share benefits; costs aren't pushed onto others.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP2 Equitable Distribution",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-choice",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Those affected by AI rules take part in making them, including the choice not to build or deploy a system at all.",
"label": "Those affected help make the rules, including not to build.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP3 Collective Choice Arrangements",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 8, the prosocial choice may be not to build or deploy",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-monitor",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Algorithmic systems are publicly audited and their effects on capability are reported, with escalating consequences for violations.",
"label": "AI is audited, and violations meet escalating consequences.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP4–5 Monitoring and Graduated Responses",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-resolve",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Affected people have accessible channels to challenge harmful deployments, with transparent adjudication and real remedies.",
"label": "People can challenge harmful deployments and get remedies.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP6 Conflict Resolution Mechanisms",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-authority",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Stakeholder bodies hold real decision-making power over AI deployment, not consultation rights alone.",
"label": "Stakeholder bodies have real power, not just a say.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 36–37, CDP7 Authority to Self-Govern",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-polycentric",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Governance is nested across scales: groups coordinate purpose, equity and monitoring between them, while lower levels keep authority within their own domains.",
"label": "Nested governance coordinates across scales.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, CDP8 Polycentric Governance",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-measure",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI's effects on human capability can be measured, so enhancement and extraction can be told apart.",
"label": "Capability impacts can be measured.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 46, Create Feedback Loops Through Measurement",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 48, measurement frameworks require further development",
"basis": "related"
}
]
},
{
"id": "pa-g-scaffold",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI tools scaffold people's thinking, with questions and reflection points, rather than completing the work for them.",
"label": "AI scaffolds thinking rather than doing the work.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 28, Competence Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-control",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Users can state their preferences, systems respect them even when engagement patterns point elsewhere, and users can override recommendations.",
"label": "Users' stated preferences are respected and can override.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, Autonomy Support",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 22, retain override capacity",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-connect",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI supports in-person connection and relational skills rather than substituting for human relationships.",
"label": "AI supports human connection rather than replacing it.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 29–30, Relatedness Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-conversion",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "People have the personal, social and environmental conditions they need to turn access to AI into capabilities they value.",
"label": "People have the conditions to turn access into capability.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 18, conversion factors",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, conversion factors",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-bridging",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Information is stewarded as a commons, with systems designed to surface agreement across differences rather than to maximise engagement.",
"label": "Information systems favour agreement over engagement.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 32–33, Restoring Shared Facts: Information as Commons",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-deliberate",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI helps citizens deliberate and map common ground, amplifying rather than replacing their judgment.",
"label": "AI helps citizens deliberate rather than deciding for them.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 32, Democratic Participation Enhancement",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-inclusion",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI is deliberately designed to widen marginalised groups' real opportunities rather than to replicate existing disadvantage.",
"label": "AI is designed to widen opportunity for the marginalised.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 33, Equity Acceleration",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-costs",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "AI's energy, water and lifecycle costs are made visible and weighed against broader aims.",
"label": "AI's energy and material costs are visible and weighed.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 34, Energy and Resource Accountability",
"basis": "paraphrase"
}
]
},
{
"id": "pa-g-ecology",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "necessary_condition",
"text": "Communities with long ecological knowledge keep decision-making authority, and their knowledge is treated as an equal partner in design.",
"label": "Communities with ecological knowledge keep authority.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 34, Ecological Integration and Indigenous Knowledge",
"basis": "paraphrase"
}
]
}
],
"links": [
{
"id": "pa-gl-people",
"status": "proposed",
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{
"name": "AI assistant",
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}
],
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"pa-g-people"
],
"to": "pa-g-goal",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, success at each scale",
"basis": "reconstruction"
}
]
},
{
"id": "pa-gl-commons",
"status": "proposed",
"accepted_by": [],
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{
"name": "AI assistant",
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}
],
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"pa-g-commons"
],
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{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, success at each scale",
"basis": "reconstruction"
}
]
},
{
"id": "pa-gl-society",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-g-society"
],
"to": "pa-g-goal",
"relation": "necessary_for",
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{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, success at each scale",
"basis": "reconstruction"
}
]
},
{
"id": "pa-gl-planet",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
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],
"to": "pa-g-goal",
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{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, success at each scale",
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}
]
},
{
"id": "pa-gl-rewarding",
"status": "proposed",
"accepted_by": [],
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{
"name": "AI assistant",
"role": "assistant"
}
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"pa-g-rewarding"
],
"to": "pa-g-goal",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 28, Section 4 opening; p. 37",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-worldviews",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-g-worldviews"
],
"to": "pa-g-goal",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 11, worldview change is a prerequisite",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-purpose",
"status": "proposed",
"accepted_by": [],
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{
"name": "AI assistant",
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}
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"pa-g-purpose"
],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 36–37, Core Design Principles; p. 37, the principles work by transforming contingencies",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-equity",
"status": "proposed",
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{
"name": "AI assistant",
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}
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],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, when benefits are equitably distributed (CDP2)",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-choice",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-g-choice"
],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, when affected parties participate (CDP3)",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-monitor",
"status": "proposed",
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{
"name": "AI assistant",
"role": "assistant"
}
],
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"pa-g-monitor"
],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, when violations are monitored and sanctioned (CDP4–5)",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-resolve",
"status": "proposed",
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{
"name": "AI assistant",
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],
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"pa-g-resolve"
],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 36, CDP6 maintains rather than destroys cooperation",
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}
]
},
{
"id": "pa-gl-authority",
"status": "proposed",
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{
"name": "AI assistant",
"role": "assistant"
}
],
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"pa-g-authority"
],
"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 36–37, CDP7 real power",
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}
]
},
{
"id": "pa-gl-polycentric",
"status": "proposed",
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{
"name": "AI assistant",
"role": "assistant"
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],
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"to": "pa-g-rewarding",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, CDP8 extends the first seven",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-measure",
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"name": "AI assistant",
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],
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"to": "pa-g-monitor",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 46, operationalises CDP4 and 5",
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}
]
},
{
"id": "pa-gl-scaffold",
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"name": "AI assistant",
"role": "assistant"
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],
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],
"to": "pa-g-people",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 28–29, Competence Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-control",
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{
"name": "AI assistant",
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],
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"to": "pa-g-people",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, Autonomy Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-connect",
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{
"name": "AI assistant",
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],
"from": [
"pa-g-connect"
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"to": "pa-g-people",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 29–30, Relatedness Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-gl-conversion",
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{
"name": "AI assistant",
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],
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],
"to": "pa-g-people",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 18, access without conversion factors creates dependency",
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"text": "Data workers are poorly paid, and creators' work and the shared knowledge commons are used for training without fair return.",
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"id": "pa-r-trap",
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"kind": "undesirable_effect",
"text": "A social trap locks extraction in: each adopter gains in the short run while universal adoption leaves everyone worse off and makes reversal harder.",
"label": "A social trap locks extraction in.",
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"source_id": "evolving-prosocial-ai",
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"source_id": "evolving-prosocial-ai",
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]
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"id": "pa-r-handicap",
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"kind": "cause",
"text": "Prosocial alternatives carry upfront coordination costs and need institutional infrastructure before they can compete.",
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"source_id": "evolving-prosocial-ai",
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}
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"source_id": "evolving-prosocial-ai",
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"source_id": "evolving-prosocial-ai",
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},
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"id": "pa-rl-training",
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"source_id": "evolving-prosocial-ai",
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]
},
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{
"source_id": "evolving-prosocial-ai",
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},
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},
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},
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]
},
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"id": "pa-rl-dependence-loop",
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"locator": "p. 48, users adapted to such environments lose capacity to demand alternatives",
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]
},
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]
},
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"source_id": "evolving-prosocial-ai",
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]
},
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]
},
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],
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"source_id": "evolving-prosocial-ai",
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]
},
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"source_id": "evolving-prosocial-ai",
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]
},
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"id": "pa-rl-planet",
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],
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{
"source_id": "evolving-prosocial-ai",
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]
},
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],
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{
"source_id": "evolving-prosocial-ai",
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{
"source_id": "evolving-prosocial-ai",
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]
},
{
"id": "pa-rl-trap-weak",
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"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-r-weak"
],
"to": "pa-r-trap",
"relation": "contributes_to",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 27, self-reinforcing cycles",
"basis": "reconstruction"
}
]
},
{
"id": "pa-rl-trap-dependence",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-r-dependence"
],
"to": "pa-r-trap",
"relation": "contributes_to",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 7, dependencies make reversal increasingly difficult",
"basis": "paraphrase"
}
]
},
{
"id": "pa-rl-trap-handicap",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-r-handicap"
],
"to": "pa-r-trap",
"relation": "contributes_to",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 49, extractive approaches command vastly greater resources",
"basis": "inference"
}
]
}
],
"backlog": [
{
"ref": "pa-rl-erode",
"work": "check_evidence",
"label": "Check the studies behind the erosion claims.",
"note": "Several cited findings are preliminary: Kosmyna et al. (2025) is under review and Fang et al. (2025) is a preprint (pp. 21–22). None has been checked here."
}
]
},
"conflict": {
"nodes": [
{
"id": "pa-c1-objective",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "objective",
"text": "An organisation building AI lasts and does good.",
"label": "An AI organisation lasts and does good.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 35, organizational success depends on societal contribution",
"basis": "inference"
}
]
},
{
"id": "pa-c1-keep-up",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "need",
"text": "It needs to keep up with competitors for users, investment and market share.",
"label": "It needs to keep up with competitors.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 39, others are forced to adopt",
"basis": "reconstruction"
}
]
},
{
"id": "pa-c1-no-harm",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "need",
"text": "It needs to avoid harming its users, workers and wider society.",
"label": "It needs to avoid harming users and society.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 23–24, harms documented and shelved",
"basis": "reconstruction"
}
]
},
{
"id": "pa-c1-engage",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "prerequisite",
"text": "Optimise products for engagement and growth, as competitors do.",
"label": "Optimise for engagement, as competitors do.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 39, individual companies adopting extractive AI gain advantages",
"basis": "paraphrase"
}
]
},
{
"id": "pa-c1-capability",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "prerequisite",
"text": "Design products to build users' capabilities, even at some cost to engagement.",
"label": "Design for capability, even at a cost to engagement.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, prosocial metrics would reward enhancing capacity",
"basis": "reconstruction"
}
]
},
{
"id": "pa-c2-objective",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "objective",
"text": "A person gets their work done and flourishes.",
"label": "A person gets their work done and flourishes.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, Individual Level",
"basis": "inference"
}
]
},
{
"id": "pa-c2-done",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "need",
"text": "They need to get things done quickly.",
"label": "They need to get things done quickly.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 13, the individual is liberated from friction",
"basis": "reconstruction"
}
]
},
{
"id": "pa-c2-grow",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "need",
"text": "They need to keep and grow their own capabilities.",
"label": "They need to keep and grow their own capabilities.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, competence, autonomy and relatedness",
"basis": "reconstruction"
}
]
},
{
"id": "pa-c2-delegate",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "prerequisite",
"text": "Let AI complete the task.",
"label": "Let AI complete the task.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, cognitive offloading",
"basis": "paraphrase"
}
]
},
{
"id": "pa-c2-struggle",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "prerequisite",
"text": "Do the thinking themselves, accepting the effort.",
"label": "Do the thinking themselves.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 65, the cognitive struggle through which ideas become our own",
"basis": "paraphrase"
}
]
}
],
"links": [
{
"id": "pa-cl1-keep-up",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c1-keep-up"
],
"to": "pa-c1-objective",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 39, forcing others to adopt or fail",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl1-no-harm",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c1-no-harm"
],
"to": "pa-c1-objective",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 35, organizational success depends on societal contribution",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl1-engage",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c1-engage"
],
"to": "pa-c1-keep-up",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 25, extractive approaches gain short-term competitive advantages",
"basis": "paraphrase"
}
]
},
{
"id": "pa-cl1-capability",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c1-capability"
],
"to": "pa-c1-no-harm",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 30, systems that build competence, autonomy and relatedness",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl1-conflict",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c1-engage"
],
"to": "pa-c1-capability",
"relation": "conflicts_with",
"assumptions": [
{
"text": "Within current institutions, designing for capability is a competitive handicap the market will not reward.",
"by": "AI assistant"
}
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 12, rather than requiring self-sacrifice against competitive pressures",
"basis": "reconstruction"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 19, upfront coordination costs",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl2-done",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c2-done"
],
"to": "pa-c2-objective",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 13, immediate experience of convenience",
"basis": "inference"
}
]
},
{
"id": "pa-cl2-grow",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c2-grow"
],
"to": "pa-c2-objective",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, needs whose satisfaction predicts well-being",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl2-delegate",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c2-delegate"
],
"to": "pa-c2-done",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 65, faster than writing without AI",
"basis": "inference"
}
]
},
{
"id": "pa-cl2-struggle",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c2-struggle"
],
"to": "pa-c2-grow",
"relation": "necessary_for",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, the cognitive effort of structuring arguments",
"basis": "reconstruction"
}
]
},
{
"id": "pa-cl2-conflict",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"from": [
"pa-c2-delegate"
],
"to": "pa-c2-struggle",
"relation": "conflicts_with",
"assumptions": [
{
"text": "AI can only help by doing the work in the person's place.",
"by": "AI assistant"
}
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 21, “the less I feel the need to problem-solve on my own”",
"basis": "reconstruction"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 65, Statement Regarding the Use of AI",
"basis": "reconstruction"
}
]
}
],
"backlog": [
{
"ref": "pa-cl1-conflict",
"work": "examine_assumption",
"label": "Test whether capability design must cost a firm against competitors.",
"note": "The authors' answer is to change the institutions, so cooperation pays (pp. 36–37, 45); B Corps are cited as matching conventional firms financially (p. 43)."
}
]
},
"future_reality": {
"nodes": [
{
"id": "pa-f-cdp",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Apply Ostrom's core design principles to AI governance at every scale.",
"label": "Apply the core design principles to AI.",
"addresses": [
"pa-r-rewards",
"pa-c1-engage",
"pa-c1-capability"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 36–37, From Principles to Practice",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-scaffold",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Design AI to scaffold thinking: ask probing questions, add reflection points and teach when to use strategies, rather than hand over finished work.",
"label": "Design AI to scaffold thinking, not replace it.",
"addresses": [
"pa-r-design",
"pa-c2-delegate",
"pa-c2-struggle"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 28, Competence Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-preferences",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Let users state preferences that systems honour even against their engagement patterns, with take-a-break prompts and the ability to override.",
"label": "Honour users' stated preferences over engagement.",
"addresses": [
"pa-r-design"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, Autonomy Support",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-ownership",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Spread cooperative ownership, open models, stakeholder governance and benefit-sharing arrangements such as data trusts.",
"label": "Spread cooperative ownership, open models and benefit sharing.",
"addresses": [
"pa-r-uncompensated",
"pa-r-power"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 31–32, Organizational Level",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-bridging",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Use bridging algorithms and AI-assisted deliberation that surface agreement across differences.",
"label": "Use AI that surfaces agreement across differences.",
"addresses": [
"pa-r-epistemic"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 32–33, Democratic Participation Enhancement; Restoring Shared Facts",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-measure",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Develop measures and monitoring that make AI's effects on capability visible across scales.",
"label": "Measure capability impacts across scales.",
"addresses": [
"pa-r-discount"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 46, Create Feedback Loops Through Measurement",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-procure",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Make public procurement require independent audits showing that an AI system enhances capability.",
"label": "Make procurement require capability audits.",
"addresses": [
"pa-r-rewards"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 45, Create Institutional Infrastructure",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-costs",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Make AI's energy and lifecycle costs visible through reporting, and favour efficient models.",
"label": "Report energy costs and favour efficient models.",
"addresses": [
"pa-r-planet"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 34, Energy and Resource Accountability",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-demonstrate",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Build and publicise demonstrations that show benefits across scales, including controlled comparisons with extractive systems.",
"label": "Build and publicise demonstrations of multilevel benefit.",
"addresses": [
"pa-r-handicap"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 45–46, Build and Publicize Demonstrations",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-networks",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Support practitioner networks, professional standards and social movements in which prosocial approaches are experienced, not just advocated.",
"label": "Grow networks where prosocial practice is experienced.",
"addresses": [
"pa-r-training"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 43, Social Proof and Networks",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 46, Strengthen Social Movements and Networks",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-stories",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Tell bridging stories, such as the forest's fungal networks and the jazz ensemble, that make cooperation feel natural.",
"label": "Tell stories that make cooperation feel natural.",
"addresses": [
"pa-r-mutual"
],
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 43–45, Narrative and Meaning",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 46, Develop Bridging Narratives",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-local",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "injection",
"text": "Apply the principles by learning from communities that already govern their commons well, not by overriding them.",
"label": "Learn from communities that already govern commons.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 41, A Critical Caveat",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-pays",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "predicted_effect",
"text": "Prosocial AI development gains an advantage rather than facing a competitive handicap.",
"label": "Prosocial AI gains an advantage, not a handicap.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 37, prosocial behaviour produces direct reinforcement",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 45, individuals and organisations gain advantage",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-grow",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "predicted_effect",
"text": "People build competence and autonomy and come to demand tools that keep building them.",
"label": "People grow capability and demand better tools.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 29, virtuous cycles",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-common-ground",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "predicted_effect",
"text": "Citizens share more factual ground and deliberate across their differences.",
"label": "Citizens share facts and deliberate across differences.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 32–33, Societal Level",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-share",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "predicted_effect",
"text": "Those who contribute data, labour and creativity share in the value AI creates.",
"label": "Contributors share in AI's value.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 31, cooperative models",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-spread",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "predicted_effect",
"text": "Prosocial worldviews spread through ordinary social learning as respected peers adopt them and report better outcomes.",
"label": "Prosocial worldviews spread through ordinary social learning.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 43, these networks enable worldview change through ordinary social learning",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-life",
"status": "proposed",
"accepted_by": [],
"contributors": [
{
"name": "AI assistant",
"role": "assistant"
}
],
"kind": "desirable_effect",
"text": "Success at each scale reinforces success at the others: the life pattern rather than the cancer pattern.",
"label": "Success at each scale reinforces the others.",
"source_refs": [
{
"source_id": "evolving-prosocial-ai",
"locator": "pp. 35–36, Alignment Across Scales",
"basis": "paraphrase"
},
{
"source_id": "evolving-prosocial-ai",
"locator": "p. 67, Figure 2 caption",
"basis": "paraphrase"
}
]
},
{
"id": "pa-f-override",
"status": "proposed",
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]
}
},
"feedback": [],
"history": [
{
"release_id": "2026-10-26.1",
"date": "2026-10-26",
"title": "First proposed reconstruction",
"summary": "Paul Atkins and David Sloan Wilson’s Evolving Prosocial AI across all six views: 105 proposed statements and 88 proposed connections, each with a page reference. No endorsement, trial or outcome is recorded.",
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"authors": {
"atkins-wilson": {
"name": "Paul Atkins and David Sloan Wilson",
"role": "Authors of Evolving Prosocial AI; have not reviewed or endorsed this reconstruction"
}
},
"sources": [
{
"id": "evolving-prosocial-ai",
"kind": "supplied_document",
"author": "atkins-wilson",
"title": "Evolving Prosocial AI · How We Shape the Systems that Shape AI - and Us",
"description": "A 67-page manuscript by Paul Atkins and David Sloan Wilson of ProSocial World, version of 28 June 2026, accepted for Cambridge Elements in Applied Evolutionary Science. It argues that worldviews, acting as cultural replicators, set the selection pressures that decide whether AI extracts from or strengthens cooperation at individual, organisational, societal and planetary scales, and proposes Ostrom’s core design principles as the institutional answer. An earlier draft of 6 March 2026 was circulated on Substack; this later version supersedes it. Page numbers refer to the PDF."
}
],
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{
"id": "four-scales",
"title": "Flourishing at every scale",
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},
{
"id": "cooperation-pays",
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]
}
],
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{
"id": "starting-point",
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"summary": "Three claims from the book's framework that frame everything else. They are attributed observations with no causal connections drawn.",
"nodes": [
"pa-r-replicators",
"pa-r-partial",
"pa-r-machine"
]
},
{
"id": "worldviews-and-rewards",
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"nodes": [
"pa-r-worldviews",
"pa-r-mutual",
"pa-r-power",
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]
},
{
"id": "harms-at-each-scale",
"title": "Harms at every scale",
"summary": "From people's eroded capabilities to firms that outgrow more careful rivals, public systems that harm without accountability and costs pushed onto the planet. Candidate causes, not established findings.",
"nodes": [
"pa-r-erode",
"pa-r-dependence",
"pa-r-race",
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]
},
{
"id": "the-trap",
"title": "The cancer pattern and the trap",
"summary": "Weakened institutions cannot govern what weakens them, eroded users depend more, and prosocial alternatives start behind: together, a social trap.",
"nodes": [
"pa-r-weak",
"pa-r-trap",
"pa-r-handicap"
]
}
],
"conflict": [
{
"id": "keep-up-or-do-good",
"title": "Keep up, or avoid harm?",
"summary": "A firm building AI needs to keep up with rivals that optimise for engagement, and to avoid harming its users. The authors' answer is to change the institutions, not to ask for sacrifice.",
"nodes": [
"pa-c1-objective",
"pa-c1-keep-up",
"pa-c1-no-harm",
"pa-c1-engage",
"pa-c1-capability"
]
},
{
"id": "convenience-or-capability",
"title": "Let it do the work, or keep the skill?",
"summary": "A person wants work done quickly and wants to keep their own capabilities. The authors describe living this tension themselves while writing the book.",
"nodes": [
"pa-c2-objective",
"pa-c2-done",
"pa-c2-grow",
"pa-c2-delegate",
"pa-c2-struggle"
]
}
],
"future_reality": [
{
"id": "make-it-pay",
"title": "Make prosocial AI pay",
"summary": "Design principles, procurement, measurement and visible energy costs could turn prosocial AI from a handicap into an advantage. The authors' own caution about imposing principles is kept as a risk.",
"nodes": [
"pa-f-cdp",
"pa-f-procure",
"pa-f-measure",
"pa-f-costs",
"pa-f-pays",
"pa-f-override",
"pa-f-local",
"pa-f-nepal"
]
},
{
"id": "build-capability",
"title": "Build capability, not dependence",
"summary": "AI that scaffolds thinking and honours stated preferences could leave people more capable and more demanding of good tools. Mixed evidence is kept as a risk.",
"nodes": [
"pa-f-scaffold",
"pa-f-preferences",
"pa-f-grow",
"pa-f-shared-models",
"pa-f-authors"
]
},
{
"id": "shared-ground",
"title": "Shared ground and shared value",
"summary": "Bridging algorithms and deliberation, and ownership models that share value with contributors, with the timing limit of fact-checks kept in view.",
"nodes": [
"pa-f-bridging",
"pa-f-common-ground",
"pa-f-late",
"pa-f-vtaiwan",
"pa-f-ownership",
"pa-f-share"
]
},
{
"id": "spreading",
"title": "How prosocial worldviews spread",
"summary": "Demonstrations, networks and stories spread prosocial worldviews through ordinary social learning. With the other changes, success at each scale could reinforce the rest.",
"nodes": [
"pa-f-demonstrate",
"pa-f-networks",
"pa-f-stories",
"pa-f-spread",
"pa-f-paradox",
"pa-f-life"
]
}
],
"prerequisite": [
{
"id": "measure-and-test",
"title": "Measure, test and fund independently",
"summary": "The authors' own limits: no agreed measure of capability impact, evidence that skews Western and democratic, and research funded by the industry it studies.",
"nodes": [
"pa-p-objective",
"pa-p-measure-gap",
"pa-p-measures",
"pa-p-scope-gap",
"pa-p-cultures",
"pa-p-capture-gap",
"pa-p-independent"
]
},
{
"id": "build-the-backing",
"title": "Build the backing",
"summary": "Extraction has far more resources, training reproduces it and many prosocial models are still niche. Procurement, education and rigorous demonstrations are the proposed answers.",
"nodes": [
"pa-p-resources-gap",
"pa-p-backing",
"pa-p-training-gap",
"pa-p-education",
"pa-p-niche-gap",
"pa-p-demos"
]
}
],
"transition": [
{
"id": "research",
"title": "Researchers",
"summary": "Develop measures that tell enhancement from extraction.",
"nodes": [
"pa-t-1-condition",
"pa-t-research",
"pa-t-1-effect"
]
},
{
"id": "build",
"title": "Technologists",
"summary": "Build tools that scaffold rather than replace capability.",
"nodes": [
"pa-t-2-condition",
"pa-t-build",
"pa-t-2-effect"
]
},
{
"id": "require",
"title": "Policymakers",
"summary": "Require capability impact assessments in procurement.",
"nodes": [
"pa-t-3-condition",
"pa-t-require",
"pa-t-3-effect"
]
},
{
"id": "fund",
"title": "Funders",
"summary": "Back demonstrations and make their results known.",
"nodes": [
"pa-t-4-condition",
"pa-t-fund",
"pa-t-4-effect"
]
}
]
},
"overview": [
{
"type": "account",
"eyebrow": "The book’s starting point",
"title": "How worldviews shape AI, and AI shapes us",
"text": "Atkins and Wilson treat worldviews as cultural replicators that spread through what they reward. AI systems carry those worldviews in their behaviour and teach them back to the people around them, at a moment when human cooperation is still a partial evolutionary transition. These cards reconstruct that framework before the AI’s practical map.",
"ids": [
"pa-r-replicators",
"pa-r-machine",
"pa-r-partial"
],
"link": [
"in-the-way.html",
"Read the framework and what stands in the way →"
]
},
{
"type": "cards",
"eyebrow": "What has to be true",
"title": "Flourishing at every scale, with cooperation that pays",
"text": "People, organisations, societies and the planet each need AI that builds rather than extracts. Underneath, institutions have to make cooperation more rewarding than extraction; the book proposes Ostrom’s core design principles for that.",
"ids": [
"pa-g-people",
"pa-g-commons",
"pa-g-society",
"pa-g-planet",
"pa-g-rewarding"
],
"link": [
"goal.html",
"Inspect the goal and its conditions →"
]
},
{
"type": "cards",
"eyebrow": "What stands in the way",
"title": "Extraction that rewards itself",
"text": "Four extractive worldviews and the pull of immediate rewards shape what institutions reward. AI built to capture attention and do tasks for people erodes their capabilities, firms that externalise harm outgrow the rest, and a social trap locks the pattern in.",
"ids": [
"pa-r-worldviews",
"pa-r-rewards",
"pa-r-erode",
"pa-r-race",
"pa-r-trap"
],
"link": [
"in-the-way.html",
"Follow the candidate causes →"
]
},
{
"type": "clouds",
"eyebrow": "The tensions behind the choices",
"title": "Two dilemmas, for a firm and for a person",
"text": "A firm has to keep up with rivals and avoid harming its users; a person wants work done quickly and wants to keep their own skills. Both are proposed readings of the book, offered for real cases to test.",
"featured": "keep-up-or-do-good"
},
{
"type": "cards",
"eyebrow": "What could change",
"title": "Make prosocial AI pay, and build capability",
"text": "Apply the design principles, require capability audits in procurement, measure capability impacts and design AI to scaffold thinking. The authors’ own cautions, such as imposing principles over local wisdom, are kept as risks.",
"ids": [
"pa-f-cdp",
"pa-f-procure",
"pa-f-measure",
"pa-f-scaffold",
"pa-f-life"
],
"link": [
"change.html",
"See the proposed changes and their risks →"
]
},
{
"type": "cards",
"eyebrow": "What must become possible",
"title": "Measures, wider tests and real backing",
"text": "Drawn from the authors’ own limits: an agreed measure of capability impact, tests beyond Western and democratic settings, independent research funding and demonstrations at scale. These are proposed conditions, not completed work.",
"ids": [
"pa-p-measures",
"pa-p-cultures",
"pa-p-independent",
"pa-p-demos"
],
"link": [
"prerequisites.html",
"Review the obstacles and intermediate objectives →"
]
},
{
"type": "cards",
"eyebrow": "How it could be tried",
"title": "Researchers, technologists, policymakers, funders",
"text": "The book closes by naming what each group could do. Here they are as an illustrative sequence; the existing conditions are examples and nobody is assigned.",
"ids": [
"pa-t-research",
"pa-t-build",
"pa-t-require",
"pa-t-fund"
],
"link": [
"actions.html",
"Follow the four steps →"
]
},
{
"type": "wider",
"eyebrow": "An evolutionary argument",
"title": "The cancer pattern and the life pattern",
"text": "The book reads AI through multilevel selection: when success at a lower level comes at the expense of the levels above, the result looks like a tumour; when success at each level supports the others, it looks like life. Its claim is that institutions, not virtue, decide which pattern AI follows, and that the next few years matter most."
},
{
"type": "credits",
"eyebrow": "Sources and interpretation",
"title": "Paul Atkins and David Sloan Wilson’s Evolving Prosocial AI",
"text": "The argument is Paul Atkins and David Sloan Wilson’s, from their book accepted for Cambridge Elements in Applied Evolutionary Science. The AI is responsible for selecting, paraphrasing and connecting the material. Every item has a page reference and a labelled basis; source credit is not author endorsement."
}
],
"retired": []
}