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Algorithmic bias

The examination and mitigation of unfair and discriminatory outcomes resulting from the design, implementation and utilization of algorithms in decision-making processes.

Quoted by Communications of the ACM. Lecturer Merve Hickok. The rise of the AI-enabled agentic internet.

Hickok: AI agents raise new ethical questions

06/24/2025

UMSI lecturer Merve Hickok discusses how autonomous AI systems could create unintended risks. 

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UMSI Research Roundup. ACM FAccT Conference. Check out UMSI faculty and PhD student publications.

ACM FAccT 2025: UMSI Research Roundup

06/24/2025

UMSI research and workshops for the 2025 FAcct conference. 

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UMSI Research Roundup. Focus on AI. Literacy, emotional Intimacy. Gender Role Congruity. Check out UMSI faculty and PhD student publications.

Focus on AI: AI Literacy | Emotional Intimacy | Gender Role Congruity

06/09/2025

UMSI research on artificial intelligence. 

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Quoted by Context. Assistant Professor Ben Green. Trump's AI push raises red flags for poorest Americans.

Green: When it comes to public benefits, AI implementation is becoming “harsher and more inconsistent”

05/22/2025

UMSI assistant professor Ben Green talks about the growing role of AI in determining access to public benefits under the Trump administration. 

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UMSI News.

Feeling unheard: Marginalized voices ring out against emotion AI

04/30/2025

A new study by UMSI assistant professor Nazanin Andalibi and UMSI research fellow Alexis Shore Ingber reveals that technology claiming to read human emotions elicits widespread discomfort, especially among marginalized communities, raising serious concerns about privacy and ethics.

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Featured by Outrage Overload Podcast. Professor Paul Resnick. How systems like community notes on Twitter/X aim to break the cycle of misinformation.

Can algorithms bring us closer together?

04/22/2025

UMSI professor Paul Resnick talks about algorithms, filter bubbles and how social media platforms can prevent echo chambers.

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Quoted by Tech Policy Press. Assistant Professor Ben Green. DOGE plan to push AI across the U.S. federal government is wildly dangerous.

Green: AI-first strategy by DOGE is a “recipe for disaster”

03/11/2025

In an op-ed for Tech Policy Press, UMSI assistant professor Ben Green discusses the dangers of relying on algorithms for critical government services. 

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UMSI Research Roundup. Toxicity on Social Media. Affirmative Action. Collective Memory. Check out UMSI faculty and PhD student publications.

Toxicity on Social Media | Affirmative Action | Collective Memory: UMSI Research Roundup

02/24/2025

Recent UMSI faculty and PhD student publications. 

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Quoted by Financial Times. Assistant Professor Ben Green. What to do when the computer says no.

Green: Can having a human reviewer make algorithms fairer?

02/11/2025

UMSI assistant professor Ben Green says humans, like algorithms, can make mistakes, especially when they’re on a tight schedule.

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UMSI Research Roundup. Automated Driving. Natural Disasters. Memory Work. Check out UMSI faculty and PhD student publications.

Automated Driving | Natural Disasters | Memory work: UMSI Research Roundup

09/24/2024

Recent UMSI faculty and PhD student publications. 

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