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#databias — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #databias, aggregated by home.social.

  1. MLOps isn’t just pipelines—it’s where AI fails silently.

    From Humans in the Loop, uncover 6 critical MLOps failure modes: human oversight gaps, biased data labeling, ethical risks, and real-world ML system breakdowns.

    🔗 shorturl.at/B5x3I

    #MLOps #AIethics #MachineLearning #DataBias #HumanInTheLoop #DevOps #AIrisks

  2. SeaGL talks in 90 min ( now 15 min ):

    * “Hidden in Plain Sight: Addressing Data Bias in AI-Driven Systems” from Autumn Nash

    * Today I Learned.... The 2025 FLOSS Research Roundup from Kaylea Champion

    * 10 years of Reproducible Builds from Chris Lamb

    pretalx.seagl.org/2025/talk/

    Join the conference freely and anonymously - seagl.org/attend

    #SeaGL #SeaGL2025 #FLOSSconf #FLOSSevent #Seattle #today #Mahlzeit #FLOSSresearch #DataBias #AIeeee #ReproducibleBuildso

  3. SeaGL talks in 90 min ( now 15 min ):

    * “Hidden in Plain Sight: Addressing Data Bias in AI-Driven Systems” from Autumn Nash

    * Today I Learned.... The 2025 FLOSS Research Roundup from Kaylea Champion

    * 10 years of Reproducible Builds from Chris Lamb

    pretalx.seagl.org/2025/talk/

    Join the conference freely and anonymously - seagl.org/attend

    #SeaGL #SeaGL2025 #FLOSSconf #FLOSSevent #Seattle #today #Mahlzeit #FLOSSresearch #DataBias #AIeeee #ReproducibleBuildso

  4. SeaGL talks in 90 min ( now 15 min ):

    * “Hidden in Plain Sight: Addressing Data Bias in AI-Driven Systems” from Autumn Nash

    * Today I Learned.... The 2025 FLOSS Research Roundup from Kaylea Champion

    * 10 years of Reproducible Builds from Chris Lamb

    pretalx.seagl.org/2025/talk/

    Join the conference freely and anonymously - seagl.org/attend

    #SeaGL #SeaGL2025 #FLOSSconf #FLOSSevent #Seattle #today #Mahlzeit #FLOSSresearch #DataBias #AIeeee #ReproducibleBuildso

  5. SeaGL talks in 90 min ( now 15 min ):

    * “Hidden in Plain Sight: Addressing Data Bias in AI-Driven Systems” from Autumn Nash

    * Today I Learned.... The 2025 FLOSS Research Roundup from Kaylea Champion

    * 10 years of Reproducible Builds from Chris Lamb

    pretalx.seagl.org/2025/talk/

    Join the conference freely and anonymously - seagl.org/attend

    #SeaGL #SeaGL2025 #FLOSSconf #FLOSSevent #Seattle #today #Mahlzeit #FLOSSresearch #DataBias #AIeeee #ReproducibleBuildso

  6. SeaGL talks in 90 min ( now 15 min ):

    * “Hidden in Plain Sight: Addressing Data Bias in AI-Driven Systems” from Autumn Nash

    * Today I Learned.... The 2025 FLOSS Research Roundup from Kaylea Champion

    * 10 years of Reproducible Builds from Chris Lamb

    pretalx.seagl.org/2025/talk/

    Join the conference freely and anonymously - seagl.org/attend

    #SeaGL #SeaGL2025 #FLOSSconf #FLOSSevent #Seattle #today #Mahlzeit #FLOSSresearch #DataBias #AIeeee #ReproducibleBuildso

  7. Discover the key differences between algorithmic bias and data bias. Learn how flawed data and system design can lead to unfair outcomes, and why understanding both is crucial for building ethical AI.
    #AlgorithmicBias #DataBias #EthicalAI #BiasInAI
    scientificworldinfo.com/2025/0

  8. A significant source of bias comes from skewed or incomplete data sets used to train AI algorithms. This can lead to skewed outcomes. #DataBias

  9. One way AI models become biased is through confusing correlation with causation. Two correlated factors changing together don't necessarily mean one causes the other. #DataBias

  10. AI struggles with less common data: Inconsistent results for Valletta Bastions (actual mean height: 25m) highlight issues with insufficient training data. We also touch on AI poisoning.

    alanbonnici.com/2025/03/ai-got

    #AI #DataBias #Valletta #TTMO #ArtificialIntelligence #hallucination #Mistakes #TestingAI #InsufficientData #DataPoisoning

  11. AI struggles with less common data: Inconsistent results for Valletta Bastions (actual mean height: 25m) highlight issues with insufficient training data. We also touch on AI poisoning.

    alanbonnici.com/2025/03/ai-got

    #AI #DataBias #Valletta #TTMO #ArtificialIntelligence #hallucination #Mistakes #TestingAI #InsufficientData #DataPoisoning

  12. AI struggles with less common data: Inconsistent results for Valletta Bastions (actual mean height: 25m) highlight issues with insufficient training data. We also touch on AI poisoning.

    alanbonnici.com/2025/03/ai-got

    #AI #DataBias #Valletta #TTMO #ArtificialIntelligence #hallucination #Mistakes #TestingAI #InsufficientData #DataPoisoning

  13. AI struggles with less common data: Inconsistent results for Valletta Bastions (actual mean height: 25m) highlight issues with insufficient training data. We also touch on AI poisoning.

    alanbonnici.com/2025/03/ai-got

    #AI #DataBias #Valletta #TTMO #ArtificialIntelligence #hallucination #Mistakes #TestingAI #InsufficientData #DataPoisoning

  14. Data Literacy Essentials by SAS | CoListy
    Unlock the power of data with the 'Data Literacy Essentials' course. This 3-hour self-paced program teaches you how to understand, analyze, and use data meaningfully. Perfect for students, educators, and anyone looking to upskill in data literacy.
    #dataliteracycourse #learndataanalysis #data-drivendecisionmaking #understandingdatapatterns #datainsights #datareliability #databias #dataskillsforstudents

    colisty.netlify.app/courses/da

  15. "Data does not lie" or does it? 🤔 In this Substack post, Anthropic's Opus LLM and I collaborate to debunk this misleading statement from both serious and satirical perspectives. Explore the ways data can deceive, from biased collection to manipulated presentation, and how these issues impact AI models. A thought-provoking and entertaining read!

    @Nomad @jackconsidine #DataBias #AIEthics #ai #aurorail

    open.substack.com/pub/jimschwe

  16. More: ""empiricism washing": take a biased procedure and feed it to an algorithm, and then you get to go and do more biased procedures, and whenever anyone accuses you of bias, you can insist that you're just following an empirical conclusion of a neutral algorithm, because "math can't be racist."
    #EmpiricismWashing #dataBias #AI

  17. More: ""empiricism washing": take a biased procedure and feed it to an algorithm, and then you get to go and do more biased procedures, and whenever anyone accuses you of bias, you can insist that you're just following an empirical conclusion of a neutral algorithm, because "math can't be racist."

  18. Hi folks! Just moved servers so I figured I'd post my #introduction again.

    I don't post on social media all that often, but here are some things I love to talk about:

    🎲 #boardgames (love Wingspan, Everdell, and Root 😍)
    🎮 #jrpgs
    🍿 #movies
    🖥️#databias and #techethics
    📷 #photography

  19. -> Men exemplen är många som visar att problemen med bias tvärtom istället kan amplifieras av AI-stödda beslutsunderlag, pga dålig kvalitet och inbyggd bias i datan som AI:n är tränad på.

    Vi uppmärksammade problemet med ”diskriminerande algoritmer” för ett par år sedan i tv-serien Vår digitala planet. Några fall var riktigt obehagliga.

    2/2

    #ai #aiethics #databias urplay.se/program/216098-var-d

  20. Hi 🐘! I'm new here so I figured I'd post an #introduction.

    I don't post on social media all that often, but here are some things I love to talk about:

    🎲 #boardgames (love Wingspan, Everdell, and Root 😍)
    🎮 #jrpgs
    🖥️#databias and #techethics
    📷 #photography

    Also really into #movies and used to use the bird app to keep up to date with what's going on in the film festival circuit.

    #TwitterMigration

  21. AWS announces SageMaker Clarify to help reduce bias in machine learning models - As companies rely increasingly on machine learning models to run their businesses, it’s imperative t... - feedproxy.google.com/~r/Techcr #artificialintelligence #awsre:invent2020 #amazonsagemaker #machinelearning #enterprise #databias #amazon #cloud