MétaCan
Menu
Back to cohort
Record W7020171571

At the interface of the electronic frontier and the law: The international legal environment for systems reliability assurance services

2000· article· en· W7020171571 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Archive @ University of South Florida (University of South Florida) · 2000
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsLiabilityRisk managementSoftware deploymentInformation assuranceService providerService (business)Product liabilityInformation technology
DOInot available

Abstract

fetched live from OpenAlex

In response to concerns about unreliable information systems, the American Institute of\nCertified Public Accountants (A/CPA) and the Canadian Institute of Chartered Accountants\n(CICA) have launched a new assurance service called SysTrust. The objective of a SysTrust\nengagement is for the practitioner to issue an attestation/assurance report on system(s) reliability. The development and deployment of the CPAICA SysTrust service, however, is done in a high litigation risk environment, especially in the United States, Canada, Australia, New Zealand, and the United Kingdom. Our purpose is to evaluate the legal environment in these five nations so CAs and CPAs can comprehend the issues involving potential litigation prior to initiating SysTrust engagements. Presently, no legal case in the U.S., Canada, Australia, New Zealand, and the United Kingdom has yet been reported which addresses directly accountant liability to third parties for negligent information system assurance services. An analysis of related legal cases sheds light on the potential liability of SysTrust providers. However, the current international legal environment is characterized by a high level of\nuncertainty. Several risk management strategies, including risk exposure analysis, client\nengagement evaluation, engagement letters, loss-limit clauses, and alternative dispute resolution, are presented that SysTrust providers may implement to minimize litigation risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.152
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueDigital Archive @ University of South Florida (University of South Florida)Same topicInformation and Cyber SecurityFrench-language works237,207