Choose an institution to see its records and dossier, or choose a topic.
Through year 2027 · all records, including scheduled dates 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2008 2005 1965 Show Organisations and infrastructure All types Organisation Person Document Concept Infrastructure Public body Reset filters
94 people, organisations and other records · 122 relationships · 34 claims about a valueEverything recorded up to the chosen year, whether or not still in effect · Undated records included
Claim and evidence Close ×
The Royal Academy of Engineering's page on its new Fellows for 2026, as retrieved on 15 October 2026, describes Lila Ibrahim as Chief AI Readiness Officer, Google DeepMind. Copy claim link
Copy claim reference
Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: secondary · 1 source
Date 2026-10-15 · snapshot Role Chief AI Readiness Officer Scope and limits A third-party institutional description; no Google primary source for the appointment or its date was retrieved.
Rests on reporting No primary source supports this record; its supporting passages come from reporting.
The evidence 01 secondary source Supports the claim
Lila Ibrahim FREng (New Fellows 2026) ↗ Royal Academy of Engineering · Publication date unknown
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “Chief AI Readiness Officer, Google DeepMind” Location in source Fellow profile, heading
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-15
Source details and check notes Authors Royal Academy of Engineering Version Undated page, retrieved on 2026-10-15 (SHA-256 290e47d01982571aec133aeb65212f303e0e7ffb0f886241422f0f72e5e97daa) directly from the publisher. Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-15 Language English (en) Attribution Royal Academy of Engineering, “Lila Ibrahim FREng (New Fellows 2026)”. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, lab genealogy (research/lab-genealogy). The quotation (6 words) matched the retrieved text on 2026-10-15 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (2026-10-16/17) re-read the record’s sources and agreed with the record. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. An institutional role with explicitly scoped time: snapshot, sourced interval, or unknown dates. No continuing appointment is implied.
Date. Role as shown on the page when retrieved on 15 October 2026; the page is undated. Not a start date. The page lists the Academy’s new Fellows for 2026; no appointment date is given.
Record ID lg-goo-ibrahim-gdm-chief-ai-readiness