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In Machines We Trust

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VisualArtwork podcast_show Q135442037
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In Machines We Trust

Summary

In Machines We Trust is a podcast show[1].

Key Facts

  • In Machines We Trust received the Signal Awards[2].
  • In Machines We Trust's instance of is recorded as podcast show[3].
  • In Machines We Trust's producer is recorded as Emma Cillekens[4].
  • In Machines We Trust's producer is recorded as Q135442070[5].
  • In Machines We Trust's production company is recorded as MIT Technology Review[6].
  • In Machines We Trust's presenter is recorded as Jennifer Strong[7].
  • In Machines We Trust's language of work or name is recorded as English[8].
  • In Machines We Trust's distribution format is recorded as Apple Podcasts[9].
  • In Machines We Trust's distribution format is recorded as Spotify[10].
  • In Machines We Trust's distribution format is recorded as Stitcher[11].
  • In Machines We Trust's distribution format is recorded as TuneIn[12].
  • In Machines We Trust's country of origin is recorded as United States[13].
  • +2020-00-00T00:00:00Z marks the founding of In Machines We Trust[14].
  • In Machines We Trust's official website is recorded as https://www.technologyreview.com/supertopic/in-machines-we-trust/[15].
  • In Machines We Trust's main subject is recorded as information technology[16].
  • In Machines We Trust's title is recorded as In Machines We Trust[17].
  • In Machines We Trust's number of seasons is recorded as {'unit': 'http://www.wikidata.org/entity/Q69154911', 'amount': '+4'}[18].
  • In Machines We Trust's Apple Podcasts podcast ID is recorded as id1523584878[19].
  • In Machines We Trust's Spotify show ID is recorded as 6QefEeY1IKYVn5w6nUV83Y[20].

Body

Recognition

In Machines We Trust received the Signal Awards[2].

FAQs

What awards did In Machines We Trust receive?

Honors received include Signal Awards[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [5] ↑ . wikidata.org.
  4. [2] ↑ . linkedin.com. linkedin.com. Provenance: wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . podcasts.apple.com. podcasts.apple.com. Provenance: wikidata.org.
  9. [10] ↑ . open.spotify.com. open.spotify.com. Provenance: wikidata.org.
  10. [11] ↑ . technologyreview.com. technologyreview.com. Provenance: wikidata.org.
  11. [12] ↑ . tunein.com. tunein.com. Provenance: wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). In Machines We Trust. Retrieved May 3, 2026, from https://4ort.xyz/entity/in-machines-we-trust
MLA “In Machines We Trust.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/in-machines-we-trust.
BibTeX @misc{4ortxyz_in-machines-we-trust_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{In Machines We Trust}}, year = {2026}, url = {https://4ort.xyz/entity/in-machines-we-trust}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): In Machines We Trust — https://4ort.xyz/entity/in-machines-we-trust (retrieved 2026-05-03)

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