{"schema_version":"2026-09-05.topic-graph-v1","canonical_url":"https://www.manufacturing.ai/topics/ai-in-research","topic":{"slug":"ai-in-research","name":"AI in Scientific Research","description":"A sourced collection on what AI has demonstrably delivered to science and what the institutions of science have decided to require of it — built from awarding bodies and publishers rather than from the organisations that build the models.","coverage_notes":"Twenty-ninth packet through the generic ingestion pipeline, researched 12 September 2026, and deliberately published as a stub rather than padded out. Two sources were read in full: the Royal Swedish Academy's own press release for the 2024 Nobel Prize in Chemistry, and Springer Nature's current editorial policy on AI. Both are primary for what they assert, and the Nobel release is preferred over any vendor account of the same result precisely because the Academy has no product in the market. Named gaps, which are large. The Academy's detailed scientific background was not retrieved, so nothing about AlphaFold2's measured accuracy is asserted. The Springer Nature policy page carries no date, so it supports no event and is dated only to when it was read. Several episodes that clearly belong in this subject were identified and are not included because no source was read for them this session — among them AI-assisted results in materials discovery, the arrival of AI-generated submissions and the policies written in response, AI in peer review, and the effect on retraction rates. Each will be added when a primary source has been read, not before. The one thing this collection will not do is date a milestone from memory. Not yet editor-reviewed; every assertion reads as reported.","primer":"This collection asks a narrower question than the usual one about AI and science: not what AI might do, but what a body with no product to sell has been willing to certify that it did, and what the institutions that decide what counts as published have written down in response.\n\nThe clearest answer to the first question is dated 9 October 2024. The Royal Swedish Academy of Sciences awarded half the Nobel Prize in Chemistry jointly to Demis Hassabis and John Jumper for protein structure prediction, stating that AlphaFold2 — presented in 2020 — has predicted the structure of virtually all the 200 million proteins researchers have identified, and has been used by more than two million people from 190 countries. Those are the Academy's figures. The other half of the prize went to David Baker for computational protein design, work beginning in 2003 that is not an AI result, which is a useful corrective to reading the whole prize as a machine's.\n\nThe answer to the second question is narrower than either enthusiasm or alarm would suggest. Springer Nature's editorial policy treats AI as a supporting technology and states that scholarly judgement, accountability and responsibility always remain human: accountability for content, evaluation and editorial decisions cannot be delegated to an AI system, and AI must not determine conclusions or decisions. That is a boundary drawn by a publisher, in a policy document, before any of the disputes now in the news.\n\nThis collection is deliberately small, and names what is missing rather than filling it in. A subject this large deserves more than two primary sources, and the honest position four days into building it is that two is what has been read.\n\nFor the sharp end of the same story — a claimed Millennium Prize result, an attribution dispute between named people, and a declaration signed by twenty-five Fields Medallists — see the AI in Mathematics collection, which this one provides the frame for.","primer_note":"Manufacturing.ai's own editorial synthesis, not evidence. Every factual statement in it is separately asserted and sourced in this response's concepts and events.","reviewed_through_date":null,"source_count":2,"inspected_source_count":2,"consulted_reference_count":1,"blocked_reference_count":0,"set_aside_reference_count":1},"figures":[],"blocked_references":[],"set_aside_references":[{"title":"The Nobel Prize in Chemistry 2024 — Scientific background","publisher":"The Royal Swedish Academy of Sciences","url":"https://www.nobelprize.org/prizes/chemistry/2024/advanced-information/","source_type":"press_release","retrieval_status":"search_result_only","content_inspected":false}],"concepts":[{"slug":"ai-results-the-academy-endorsed","name":"What a Prize Committee Was Willing to Certify","category":"other","canonical_url":"https://www.manufacturing.ai/topics/ai-in-research#ai-results-the-academy-endorsed","assertions":[{"id":"21ac1622-3a55-49c3-a943-c78665b54fd2","predicate":"concept.description","statement":"The Royal Swedish Academy of Sciences awarded half the 2024 Nobel Prize in Chemistry jointly to Demis Hassabis and John Jumper 'for protein structure prediction', stating that AlphaFold2, presented in 2020, has predicted the structure of virtually all the 200 million proteins researchers have identified and has been used by more than two million people from 190 countries; the other half went to David Baker 'for computational protein design' for work beginning in 2003.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"b17a1180-e2ac-433b-b26d-fef4c806deee","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Press release: The Nobel Prize in Chemistry 2024","publisher":"The Royal Swedish Academy of Sciences","url":"https://www.nobelprize.org/prizes/chemistry/2024/press-release/","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2024-10-09","documents":[]}},{"id":"bea4b7ef-a673-43ab-a0c0-8bbe31092e67","stance":"qualifies","is_primary_for_assertion":false,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Press release: The Nobel Prize in Chemistry 2024","publisher":"The Royal Swedish Academy of Sciences","url":"https://www.nobelprize.org/prizes/chemistry/2024/press-release/","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2024-10-09","documents":[]}}]}]},{"slug":"publisher-governance-of-ai","name":"What Publishers Decided to Require","category":"other","canonical_url":"https://www.manufacturing.ai/topics/ai-in-research#publisher-governance-of-ai","assertions":[{"id":"28742769-03be-474c-8ced-c21de0e4cc30","predicate":"concept.description","statement":"Springer Nature's editorial policy applies a risk-assessment framework to authors, reviewers and editors alike, stating that accountability for scholarly content and editorial decisions cannot be delegated to AI systems, that AI must not determine conclusions or decisions, and that 'Scholarly judgement, accountability, and responsibility always remain human.'","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"da323c97-b7f7-42f1-88b1-6f8f76879929","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Artificial Intelligence (AI) — Nature Portfolio editorial policies","publisher":"Springer Nature","url":"https://www.nature.com/nature-portfolio/editorial-policies/ai","source_type":"company_website","retrieval_status":"fetched","content_inspected":true,"published_at":null,"documents":[]}},{"id":"ef3259c5-6d69-4e55-9f28-6f8fed854e93","stance":"qualifies","is_primary_for_assertion":false,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Artificial Intelligence (AI) — Nature Portfolio editorial policies","publisher":"Springer Nature","url":"https://www.nature.com/nature-portfolio/editorial-policies/ai","source_type":"company_website","retrieval_status":"fetched","content_inspected":true,"published_at":null,"documents":[]}}]}]}],"events":[{"slug":"nobel-chemistry-2024","title":"A Nobel Prize for an AI Result","category":"other","event_date":"2024-10-09","date_precision":"day","country":"Sweden","region":null,"canonical_url":"https://www.manufacturing.ai/topics/ai-in-research#nobel-chemistry-2024","assertions":[{"id":"0f2e3bd1-8e39-463b-89a6-b1eefda2b7fe","predicate":"event.description","statement":"On 9 October 2024 the Royal Swedish Academy of Sciences awarded the Nobel Prize in Chemistry with one half to David Baker 'for computational protein design' and the other half jointly to Demis Hassabis and John Jumper of Google DeepMind 'for protein structure prediction', citing AlphaFold2's prediction of virtually all 200 million identified proteins and its use by more than two million people from 190 countries.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"78a4ff69-82f1-418c-b513-040ec2b4152d","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Press release: The Nobel Prize in Chemistry 2024","publisher":"The Royal Swedish Academy of Sciences","url":"https://www.nobelprize.org/prizes/chemistry/2024/press-release/","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2024-10-09","documents":[]}}]}]}],"policy":{"publication_model":"transparency","evidence_entries_may_share_a_source":true,"linked_documents_do_not_add_verification":true,"correction_intake_available":false,"assessment_meanings":{"primary-source confirmed":"Editor-reviewed against a first-party source.","cross-source corroborated":"Editor-confirmed across two independent origins.","reported":"Supported by the attached sources; not yet editor-reviewed.","disputed":"Sources conflict; competing accounts are both attached.","superseded":"Replaced by a newer assertion.","unverified":"No supporting evidence attached."},"evidence_eligibility":"`evidence[]` contains only sources whose content was actually retrieved and read (`content_inspected: true`). Sources that could not be retrieved are counted per-assertion in `reference_only_source_count`, listed for the whole collection in `consulted_references`, and never presented as evidence. `source_count` counts only sources an assertion actually rests on — it deliberately excludes `consulted_references`, so it is never inflated by material nobody could read.","topic_scope":"Assertions and source counts are limited to the topic's current packet lineage. Reusing a concept in another topic does not silently import that other topic's assertions.","rights":"Statements are Manufacturing.ai's own prose. Source excerpts are not redistributed; `quote` is present only where explicitly cleared.","attribution":"Cite as Manufacturing.ai, https://www.manufacturing.ai/topics/ai-in-research","correction_url":"https://www.manufacturing.ai/methodology#corrections"}}