Evidence map›Paper›PMID 35845840›Full record

ReviewPatterns (New York, N.Y.)2022

On the

Emre Kazim, Enzo Fenoglio, Airlie Hilliard, Adriano Koshiyama, Catherine Mulligan, Markus Trengove, Abigail Gilbert, Arthur Gwagwa, Denise Almeida, Phil Godsiff and 1 more

Abstract readReview
In one paragraph

Review in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Emre KazimDepartment of Computer Science, University College London, Gower St, London WC1E 6EA, UK.
Enzo FenoglioDepartment of Computer Science, University College London, Gower St, London WC1E 6EA, UK.
Airlie HilliardHolistic AI, 18 Soho Square, London W1D 3QL, UK.
Adriano KoshiyamaDepartment of Computer Science, University College London, Gower St, London WC1E 6EA, UK.
Catherine MulliganCentral, Department of Engineering and Informatics, Instituto Superior Técnico, Avenida Rovisco Pais 1, 1049-001 Lisbon, Portugal.
Markus TrengoveHolistic AI, 18 Soho Square, London W1D 3QL, UK.
Abigail GilbertInstitute for the Future of Work, London, UK.
Arthur GwagwaEthics Institute, Department of Philosophy & Religious Studies, Utrecht University, Janskerkhof 13, 3512 BL Utrecht, The Netherlands.
Denise AlmeidaDepartment of Information Studies, University College London, Gower St, London WC1E 6EA, UK.
Phil GodsiffINDEX, Business School, University of Exeter, Exeter EX4 4PY, UK.
Kaska Porayska-PomstaSchool of Public Policy, University College London, 29 Tavistock Square, London WC1H 9QU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much of the academic interest surrounding the emergence of new digital technologies has focused on forwarding the engineering literature, concentrating on the potential opportunities (economic, innovation, etc.) and harms (ethics, climate, etc.), with less focus on the foundational and theoretical shifts brought about by these technologies (e.g., what are "digital things"? What is the ontological nature and state of phenomena produced by and expressed in terms of digital products? Are there distinctions between the traditional conceptions of digital and non-digital technologies?. We investigate the question of what value is being expressed by an algorithm, which we conceptualize in terms of a digital asset, defining a digital asset as a valued digital thing that is derived from a particular digital technology (in this case, an algorithmic system). Our main takeaway is to invite the reader to consider artificial intelligence as a representation of the capture of value

Indexed as

artificial intelligencedigital assetsinformation theoryontologyvalue theory

Identifiers

PMID35845840
PMCPMC9278512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.