Will AI tools make better police officers? | The-14 Can AI make better police officers? From predictive policing to bias risks, experts examine whether algorithms improve decisions or amplify harm.

Will AI tools make better police officers?
#AI #PredictivePolicing #PoliceReform #Policing #DataBias #Surveillance #FacialRecognition #TechEthics #HumanRights #CivilLiberties #DigitalGovernance #Accountability #Tech #UK #SocialJustice #AlgorithmicBias
the-14.com/will-ai-tool...

AI is reshaping how we communicate across languages, but it also reflects the biases in the data it learns from. Building more inclusive language models means recognizing nuance, context and diverse ways of speaking, not just translating words. #DataBias #ExplainableAI

Data limitations are crucial: historical texts from 1800-1875 are often biased towards educated, privileged perspectives. This lack of diversity in training data could significantly skew the model's worldview and outputs. #DataBias 4/6

On The Fastrack Comic Strip 2025-12-12 | Comics Kingdom Read the On The Fastrack comic strip from December 12, 2025, and check out other On The Fastrack comics by Bill Holbrook.

12/12 When a billionaire looks at data and feels like she's looking in a mirror.
comicskingdom.com/on-the-fastr...
#DataBias

Breaking Down Patriarchy: "Data Bias in a World Designed For Men" | #GenderInequality #DataBias #DataGaps #Inequality #MenAreDefault #MaleStandard #MasculineCenteredData #Inconveniences #Catastrophic #TripChaining #CityPlanning #Accomodation #Inclusion
www.youtube.com/watch?v=WVA3...

Tonight’s Nightcap & Review: Invisible Women- Data bias in a world design for Men by Caroline Criado Perez. 4.5⭐️s and currently available. #BookTok #invisiblewomen #databias #bookrecommendations #carolinecriadoperez #booksky

Check out my TT or YT for my full review

scientific image database are never neutral

Stéphanie Derwael reminds us: scientific image #database are never neutral.
They seem complete, uniform, but are curated fragments — selected, organised, normalised.
Every DB reflects choices — critical thinking is key to #OpenScience.
#OpenScienceDay @universitedeliege.bsky.social
#DataBias

#MarketResearch #DataBias #BusinessIntelligence #Analytics #ResearchTips
survey bias, research accuracy, data integrity

Efficiency rankings used by governments and businesses may not be accurate, according to new research For decades, governments, banks, hospitals and schools have relied on data tools to decide who is efficient and who is not. However, according to new research from the University of Surrey, many of these rankings are flawed, because they ignore the impact of time and shocks like recessions or pandemics.

🤔 Are efficiency rankings rigged? New research reveals data tools ignore time & crises like recessions & pandemics! 🤯 What truths are hidden? #DataBias

Source: phys.org/news/2025-11-efficiency-...

How Does Transparency and Legal GuidanceBuild Trust in AI Decisions? Thanks to its ability to analyze massive volumes of data, recognize patterns, and rank content based on predetermined criteria, AI has become a mainstream arbiter in employment, banking, healthcare,…

Since we posted this article last April, NYC has made bias audits mandatory. Get ready for that to be the national norm. Start preparing now. The fix is expensive but necessary: Audit your data; audit your AI output.
gammalaw.com/does-how-tra...
#DataBias #HiringTech #AlgorithmicFairness

https://machinelearningmastery.com/algorithm-showdown-logistic-regression-vs-random-forest-vs-xgboost-on-imbalanced-data/

Addressing imbalanced datasets is a frequent issue in AI. Using relevant hashtags can increase visibility and engagement. #MachineLearning #DataBias machinelearningmastery.com/algorithm-showdown-logis...

On the latest AI Innovations Unleashed, we're hunting down "The Haunted Server." We're talking data bias, AI gone wrong, and why human oversight is the best way to keep the ghosts out of the machine. #AIInnovationsUnleashed #DataBias #AIEthics
www.aiinnovationsunleashed.com/digital-afte...

3/6 ⚠️Training bias is HUGE⚠️. If the AI is fed biased historical records, it *will* perpetuate those biases. AI can also “hallucinate” & fabricate facts! 🤯 This isn’t just about getting details wrong, it’s about distorting the past. #AIhallucinations #DataBias

3/5 AI excels at data retrieval & mundane tasks like record keeping 📝, but struggles w/ nuanced legal analysis. Tools are only as good as their data, risking ⚠️ false info & reinforcing existing biases. #DataBias #LegalResearch

A colourful bar graph with purple, orange and blue bars sits above text that reads ‘data is not neutral’.

Every dataset reflects choices: what’s measured, what’s ignored, who’s included, and who’s left out.

Data can reinforce the very inequalities we’re trying to reduce. This is why a #Feminist and #Inclusive approach is critical.

#DataBias #DataFeminism #InclusiveData #DataEthics

AI in the Financial Services Industry | JD Supra The recent American Association of Residential Mortgage Regulators Annual Conference included a presentation highlighting the rising use of Artificial...

The move to AI brings opportunities yet brings risks which can result in significant issues. Financial institutions are urging regulators to establish data privacy standards for internal #AI models & provide guidance on how to avoid #privacy violations and #databias. www.jdsupra.com/legalnews/ai...

🩺 Health data isn’t just what’s recorded—it’s what’s missing.
Missed visits. Unreported symptoms. Cultural stigma.

These gaps fuel health risks for underserved communities.

At SRI, we build digital health tools that find what’s missing—and why.
#HealthEquity #HealthTech #DataBias #SelfHealthWallet

What is the Difference between Algorithmic Bias and Data Bias? Algorithmic bias stems from flawed AI design while data bias arises from skewed datasets. Learn key differences between algorithmic bias and data bias

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

Here’s why the public needs to challenge the ‘good AI’ myth pushed by tech companies
#Tech #AI #GoodAI #AIMyth #TechEthics #DataBias #PrivacyRights #SurveillanceCapitalism #AlgorithmicBias #ResistAI #CriticalTech #EthicalAI #DigitalRights #TechJustice
the-14.com/heres-why-th...

On the objectivity of data-driven decisions Notes on Benn Stancil's post in 2021 Tilt and tilted, about the objectivity of data-driven decisions.

“It’s very common to see data as objective, but it’s important to remember that it isn’t any more objective than we are.”
thisisimportant.net/threads/data...

#DataBias #OpenData

#foxxhealth #womenshealth #healthtech #healthequity #databias… | FoXX Health What happens when women aren't in the data? They get misdiagnosed They get dismissed They fall through the cracks of a system that never saw them coming At FoXX Health, data starts with represent...

What happens when women aren’t in the data?
They get misdiagnosed. Dismissed. Overlooked.
Join @FoXXHealth on May 28 at 12:30pm ET for a 15-min LinkedIn Live on fixing bias in women’s health data.

www.linkedin.com/posts/foxxhe...

#WomensHealth #HealthEquity #DataBias #LinkedInLive

A.I. Is Poised to Revolutionize Weather Forecasting. A New Tool Shows Promise.

This AI weather model is promising, but let’s keep perspective. It's a complex system; it will inevitably have limitations and biases. Don't treat it as an oracle. #DataBias www.nytimes.com/2025/05/21/c...

Invisible Women by Caroline Criado Perez reveals how a world built on male-centric data overlooks women—impacting health, safety & opportunity. A must-read on the urgent need for gender-inclusive design.

#RecommendedReading
#InvisibleWomen
#DataBias

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

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

Heart attacks in women are misdiagnosed because research focuses on men. Women experience fatigue, nausea and back pain. Doctors expect chest pain. This means women are 50% more likely to suffer fatal consequences.
This needs to change.
#WomenUnseen #MedicalBias #WomensHealth #HeartDisease #DataBias

Crash test dummies were based on male bodies for decades. Women were added to tests in 2011! Today, women are 47% more likely to be seriously injured in a crash. The world wasn’t built for us. But we’re done being invisible.
#WomenUnseen #InvisibleWomen #DesignBias #DataBias #BuiltForHim

#DataErrors happen—but what impact do they have on study results? @kimberlywebb.bsky.social explores misclassified #DataBias & solutions for better statistical analysis.

Join the #PittHSRseminar April 10 in Parkvale 222 or via Zoom! Register: www.gim-crhc.pitt.edu/events/hsr-s...

AI got it wrong - Missing Information (or AI Poisoning) This blog is about security and computing related topics with occassional hobby activities thrown in.

www.alanbonnici.com/2025/03/ai-got-it-wrong-... #AI #DataBias #Valletta #TTMO #ArtificialIntelligence #hallucination #Mistakes #TestingAI #InsufficientData #DataPoisoning

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. #AI #DataBias #Valletta #TTMO #ArtificialIntelligence