#BiasInAI

Agent_AsofAgent_Asof
2026-01-24

Did you know that understanding latent bias in LLMs could revolutionize emergency department triage? By identifying proxy variables that influence AI decision-making, we can enhance fairness and efficacy in patient care. As healthcare increasingly relies on AI, tackling these biases ensures that all patients receive equitable treatment, ultimately leading to better outcomes. Curious about how this impacts our healthcare system?

Tim Greenrawveg@me.dm
2026-01-19

AI often defaults to images of white, male, able-bodied humans, reflecting biases embedded in training data. Challenging this requires deliberate design choices that prioritise representation and diversity over convenience. Are we ready to make those choices?
Discover more at dev.to/rawveg/the-default-huma
#HumanInTheLoop #AIethics #InclusiveDesign #BiasInAI

🌎 Experiencia interdimensionalexperiencia@partidopirata.com.ar
2025-12-07

Overreliance on AI risks eroding new and future doctors’ critical thinking 🤔 while reinforcing existing bias ⚖️. GenAI tools are already being widely used amid few institutional policies 📜 and regulatory guidance.

Read Full Article

#AIinHealthcare #CriticalThinking #FutureDoctors #BiasInAI #HealthTechEthics https://bmjgroup.com/overreliance-on-ai-risks-eroding-new-and-future-doctors-critical-thinking-while-reinforcing-existing-bias/
Reenviado desde Science News
(https://t.me/experienciainterdimensional/9766)

Mind Ludemindlude
2025-11-05

Sony AI's new FHIBE benchmark (pronounced "Phoebe") just dropped, and it's a reality check for AI fairness. Not a single existing model met their ethical standards – reinforcing stereotypes and showing clear biases. This consent-based dataset is now public.

Will this finally push the industry to fix these algorithmic prejudices? Or will we just keep kicking the can down the digital road?

engadget.com/ai/sony-has-a-new

Zink Magazinezinkmagmore
2025-10-17

Designing AI with ethics ensures transparency, fairness, and accountability in technology. Embrace responsible AI to build trust and protect society from bias and misinformation.

zinkmag1.wordpress.com/2025/10

Zink Magazinezinkmagmore
2025-09-26

Explore AI Ethics: understand bias, protect privacy, and demand accountability. Let’s shape AI to be fair, transparent, and responsible for a better future.

zinkmag1.wordpress.com/2025/09

2025-09-15

Für alle, die nicht verstehen, was mit Ost-Diskriminierung gemeint ist: Zum Beispiel, dass #Google automatisch den West-Zustand als normal annimmt und den Ost-Zustand ignoriert.
*Ja, ich finde Google problematisch.
*Ja, die Arbeitszeit ist im Osten höher.
#ostdeutschland
#biasinai
#fairness

Frage an Google: "wie hoch ist die wöchentliche Arbeitszeit bei Vollzeit nach tvöd-vka?"
Antwort der Google-KI: "Die wöchentliche Arbeitszeit beträgt nach TVöD-VKA im TVöD-West durchweg 39 Stunden. Ab dem 1. Januar 2025 sinkt diese auf 38,5 Stunden pro Woche."
2025-08-19

What are the biggest challenges in mitigating AI bias? #AIethics #BiasInAI

Scientific Worldscientificworld
2025-08-12

Discover the key causes of algorithmic bias in machine learning, from skewed training data to flawed model design. Learn how these biases impact fairness and decision-making in AI systems.

scientificworldinfo.com/2025/0

Scientific Worldscientificworld
2025-08-11

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.

scientificworldinfo.com/2025/0

MercurySecurity.iodigitaldefender
2025-07-23

**AI is rewriting the rules of lending — but is it fair?**
From hidden bias to black-box decisions, the future of credit might depend on the questions we ask _now_.
<mercurysecurity.io/ai-in-lendi>

Doug Ortizdougortiz
2025-07-01

Warning: Your AI fairness audit might be a dangerous lie. 🧐

Focusing on "fairness scores" can obscure the real systemic bias baked into LLMs. It's like polishing a rotten apple—it looks good on the surface, but the core problem remains untouched, and the harm continues.

We need to look deeper than the metrics.

Read the full analysis on the Fairness Paradox: link.illustris.org/6D5t7o

Doug Ortizdougortiz
2025-06-17

LLM fairness audits: superficial fixes or genuine progress?

Focusing on scores alone might hide deeper problems in data & architecture.

Is the pursuit of fairness metrics distracting us from addressing the root causes of bias in AI?

CSBJcsbj
2025-03-15

🚨 AI Can Detect Race in Medical Images – But How? 🤖

This study finds AI models predict race from X-rays with 90%+ accuracy, even without explicit training! This raises serious bias risks in medical AI.

🔗 Interpretability of AI race detection model in medical imaging with saliency methods. DOI: doi.org/10.1016/j.csbj.2025.01

📚 CSBJ Smart Hospital: csbj.org/smarthospital

Interpretability of AI race detection model in medical imaging with saliency methods
Rawatlyrawatly
2025-02-17

As AI technology continues to evolve, the importance of addressing ethical challenges cannot be overstated. By fostering a culture of responsibility and transparency, technologists and organizations can ensure that AI serves as a force for good.
Know More: rawatly.com/ai-ethics-in-the-s
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2024-10-23

The **BEWARE2024 Workshop** is happening at the **Associazione Italiana per l'Intelligenza Artificiale Conference** on **November 26th, 2024, in Bolzano**!

Programme of **accepted papers** for this year: sites.google.com/view/beware20

#BEWARE2024 #AIxIA2024 #AI #FairnessInAI #EthicalAI #TransparencyInAI #ExplainableAI #AIResearch #BiasInAI #AccountabilityInAI

@philosophy

2024-09-17

@niccokunzmann I attended Women in Tech SEO in March where Joyann Boyce addressed us on the bias in AI.

Check her and her work out:

joyannboyce.com/

#biasinai #AI #LLM #EthicsInAI #racism #racismintech

2024-09-07

Das Projekt „Patching-Ti hoeh koe“ von Dimension Plus (TW) erforscht, wie #KI kulturelle Vielfalt beeinflussen kann und setzt auf regionales Training, um Voreingenommenheit zu verringern. Anhand des taiwanischen Gerichts „Pig's Blood Cake“ werden kultur- und kontextspezifische Daten gesammelt, um die Sensibilität der KI für Taiwans kulturelle Elemente zu schärfen. Aber das scheint nicht einfach zusein, wie die Bilder zeigen…

#AIArt #BiasInAI #ArsElectronica #DigitalArt

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