Home › Entities › academia › Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved

Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved

Research article (2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021) · cited 12× · AI/ML
academia openalex:W4200115528
Press Enter · cited answer in seconds

Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved

Summary

Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved is a scholarly article[1].

Key Facts

  • Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved's instance of is recorded as scholarly article[2].

References

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

Direct Wikidata claims

  1. [2] ↑ . 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). Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved
MLA “Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved.
BibTeX @misc{4ortxyz_machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved — https://4ort.xyz/entity/machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/machine-learning-fairness-is-computationally-difficult-and-algorithmically-unsatisfactorily-solved · Last refreshed: