artificial intelligence mislabel - SERP Analysis

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https://academic.oup.com/pnasnexus/article/3/10/pgae403/7795946

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https://landing.ai/blog/welcome-to-mislabel-detection-say-goodbye-to-manually-fixing-labels

https://www.sofx.com/the-consequences-of-mislabeling-machine-learning-as-ai/

https://www.reddit.com/r/college/comments/18h2t8h/people_use_ai_incorrectly/

https://computing.mit.edu/wp-content/uploads/2023/11/AI-Policy_Labeling.pdf

https://medium.com/%40usetech/errors-and-limitations-of-artificial-intelligence-54610e3d80b3

https://hammer.purdue.edu/articles/thesis/_b_IMPROVING_MACHINE_LEARNING_FAIRNESS_BY_REPAIRING_MISLABELED_DATA_b_/27742707

https://www.sciencedirect.com/science/article/abs/pii/S0925231223013413

https://www.euronews.com/next/2025/03/12/spain-could-fine-ai-companies-up-to-35-million-in-fines-for-mislabelling-content

https://ai.stackexchange.com/questions/4663/what-is-the-effect-of-mislabeled-training-data

https://nationalcentreforai.jiscinvolve.org/wp/2025/03/27/mislabelled-cats-deep-research-and-bigger-and-better-a-few-recent-llm-trends/

https://www.cnet.com/tech/services-and-software/meta-is-labeling-some-real-photos-as-made-with-ai-report-says/

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https://www.shrm.org/topics-tools/news/technology/not-ai-really-ai-need-to-know

https://arxiv.org/abs/2312.02200

https://ojs.aaai.org/index.php/AAAI/article/view/25972

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https://www.reddit.com/r/Economics/comments/1dz8xm4/ai_is_effectively_uselessand_its_created_a_fake/

https://dl.acm.org/doi/abs/10.5555/3013545.3013548

https://realkm.com/2021/07/26/new-research-highlights-how-error-ridden-data-used-to-train-ai-is/

https://arxiv.org/abs/2208.09953

https://openreview.net/forum?id=3YlOr7BHkx

https://jair.org/index.php/jair/article/view/10238

https://www.technologyreview.com/2021/04/01/1021619/ai-data-errors-warp-machine-learning-progress/

https://aaai.org/papers/119-AAAI96-119-identifying-and-eliminating-mislabeled-training-instances/

https://thelegalwire.ai/spain-proposes-strict-penalties-for-mislabeling-ai-generated-content/

https://www.linkedin.com/pulse/computer-vision-classification-cleaning-noisy-mislabeled-data

https://www.psu.edu/news/institute-computational-and-data-sciences/story/transparent-labeling-training-data-may-boost-trust

https://scholarspace.manoa.hawaii.edu/items/df8313cc-e30b-45e1-9358-e7b5349b7f85

https://www.agendadigitale.eu/cultura-digitale/the-human-error-of-artificial-intelligence/

https://www.insideprivacy.com/international/china/china-releases-new-labeling-requirements-for-ai-generated-content/

https://cleanlab.ai/blog/learn/data-annotation/

https://journals.sagepub.com/doi/abs/10.1177/00045632211032991

https://scholarspace.manoa.hawaii.edu/collections/8d1c6b32-5ce3-4557-ab5b-54cdae08efb7

https://educative.io/courses/deal-with-mislabeled-and-imbalanced-machine-learning-datasets

https://scholarworks.sjsu.edu/etd_projects/1218/

https://news.mit.edu/2018/study-finds-gender-skin-type-bias-artificial-intelligence-systems-0212

https://about.fb.com/news/2024/04/metas-approach-to-labeling-ai-generated-content-and-manipulated-media/

https://www.sciencedirect.com/science/article/pii/S0004370221000102

https://www.quora.com/Is-it-accurate-to-label-all-intelligent-machines-as-AI-Is-it-misleading-to-use-the-term-AI-for-any-machine-that-can-think-like-humans

https://irisbh.com.br/en/error-and-innovation-the-reason-for-an-artificial-intelligence-99-accurate/

https://www.netguru.com/glossary/data-labeling

https://ai.stackexchange.com/questions/18660/recent-algorithms-for-correcting-mislabeled-data-using-multilayer-perceptrons

https://www.mdpi.com/2226-4310/11/4/300

https://www.engadget.com/mit-datasets-ai-machine-learning-label-errors-040042574.html

https://raygun.com/ai-error-resolution

https://link.springer.com/article/10.1007/s10489-010-0225-4

https://en.eloutput.com/news/social-media/instagram-etiqueta-erroneamente-ia/

https://venturebeat.com/business/mit-study-finds-systematic-labeling-errors-in-popular-ai-benchmark-datasets/

https://www.linkedin.com/posts/vincentlemaire_pdf-mislabeled-examples-detection-viewed-activity-7254786144578465792-es0Z

https://www.foodlabelsolutions.com/info-centre/Artificial-Intelligence/artificial-intelligence-ai-in-advertising-claims-on-food-labels/

https://dl.acm.org/doi/10.5555/1892875.1892994

https://fuelyourdigital.com/post/memory-limitations-in-artificial-intelligence-error/

https://www.nature.com/articles/s41746-024-01093-w

https://mit-genai.pubpub.org/pub/hu71se89

https://www.researchgate.net/publication/390508240_Detectable_Mislabeling_-_Can_Faulty_AI_Models_be_Recognized_from_Incomplete_Memory_Traces

https://amtonline.org/article/artificial-intelligence-error-proofing-in-a-robotic-workcell

https://answers.microsoft.com/en-us/windows/forum/all/windows-kb2876415-update-causing-artificial/185fba15-c563-4444-a082-97aad1cb8bc5

https://www.youtube.com/shorts/S47UsTxxpD0

https://www.labelandnarrowweb.com/exclusives/exploring-the-growth-of-ai-in-labeling/

http://kth.diva-portal.org/smash/record.jsf?pid=diva2:1953345

https://www.invisible.co/blog/how-to-prevent-ai-errors

https://www.kidneymedicinejournal.org/article/S2590-0595(24)00138-9/fulltext

https://www.mdpi.com/2673-2688/5/2/41

https://techstory.in/meta-mislabels-original-photos-as-made-with-ai-on-instagram-users-react/

https://pair.withgoogle.com/guidebook-v2/chapter/errors-failing/

https://ajronline.org/doi/10.2214/AJR.24.31493

https://www.medrxiv.org/content/10.1101/2022.12.21.22283802v1.full-text

https://www.byteplus.com/en/topic/536775

https://mediarep.org/entities/article/7663cd37-a86f-4ba4-b2df-9d77b085589b

https://dataheroes.ai/blog/improving-machine-learning-models-a-guide-to-error-classification-analysis/

https://open-research-europe.ec.europa.eu/articles/4-221

https://ui.adsabs.harvard.edu/abs/2022arXiv220809953L/abstract

https://incidentdatabase.ai/

https://sciety.org/articles/activity/10.21203/rs.3.rs-4011683/v1

https://techpolicyinstitute.org/wp-content/uploads/2018/02/Paredes-Can-Artificial-Intelligence-help-reduce-human-medical-errors-DRAFT.pdf

https://research.cbs.dk/en/publications/uuid(e8031842-32ee-4a99-bd8d-3364e93ad29a).html

https://fortunepublish.com/articles/fingerprint-an-aibased-method-for-detection-of-mislabeled-ct-studies-in-clinical-trials.html

https://lieber.westpoint.edu/assuming-risk-artificial-intelligence-battlefield/

https://www.visual-layer.com/blog/mislabel-detection

https://bhm.scholasticahq.com/article/38021-misguided-artificial-intelligence-how-racial-bias-is-built-into-clinical-models

https://www.synerscope.com/artificial-intelligence-is-only-as-good-as-data-labeling/

https://www.gao.gov/blog/artificial-intelligences-use-and-rapid-growth-highlight-its-possibilities-and-perils

https://www.livescience.com/technology/artificial-intelligence/32-times-artificial-intelligence-got-it-catastrophically-wrong

https://www.clickworker.com/customer-blog/error-handling-in-data-annotation-pipelines/

https://ir.library.illinoisstate.edu/etd/1494/

https://www.deeplearning.ai/the-batch/labeling-errors-everywhere/

https://nisos.com/research/building-trustworthy-ai/

https://innocenceproject.org/news/when-artificial-intelligence-gets-it-wrong/

https://krazytech.com/technical-papers/artificial-intelligence-in-label-printing

https://precision.fda.gov/challenges/32

https://cdn.lanl.gov/files/1663-45-noisy-data_82965.pdf

https://cdn.fortuneonline.org/articles/fingerprint-an-aibased-method-for-detection.pdf

https://www.ncontracts.com/nsight-blog/ai-is-costing-financial-institutions-millions

https://www.fortunejournals.com/abstract/fingerprint-an-aibased-method-for-detection-of-mislabeled-ct-studies-in-clinical-trials-3842.html

https://jpia.princeton.edu/news/artificial-intelligence-international-development-avoiding-ethical-pitfalls