Search for tag: "bias"

TS08February2024_PDiamond

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CITP Virtual Seminar Miranda Bogen-Closing the Gap: Navigating Complexities and Contradictions In the Mitigation of Algorithmic Bias

Dozens of policy proposals and interventions have attempted to address actual and potential cases of algorithmic bias, particularly in systems that have consequential effects on people’s lives.…

From  CI Center for Information Technology Policy 0 likes 0 plays

PLI Barbara Graziosi

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Should we fear AI? Rolando Masis-Obando, GS (2276888)

An idea that we unfortunately inject ourselves with is “technological determinism” (Paul Adler; L.M. Sacasas) — in a nutshell, what it means is that technology evolves naturally…

From  Research Princeton Research Day 5 likes 68 plays

How Does ChatGPT Work? An Overview of Large Language Models (Part 3 of 3)

Speakers: Ameet Deshpande and Alexander Wettig, Computer Science Department, Princeton University This presentation gives an overview of the key technologies behind ChatGPT with a discussion of…

From  jdh4 Halverson 0 likes 95 plays

DataX SCM Workshop 6-2022_Imbens

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DataX SCM 6-2022_Arkhangelsky

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Motivated Reasoning: facts do care about your feelings, Jeffery Chen, UG '25 (3939095)

With America divided as ever, people from state governments to households have asked themselves: "Why can’t we change their minds?" In FRS 193: Belief and Ideology, I researched why…

From  Research Princeton Research Day 5 likes 231 plays

Analyzing Racial Bias Trends in the Text of US Legal Opinions, Rohan Jinturkar, UG '23, (3964430)

Racial bias remains pervasive in American society, and there are many instances of such discrimination in the legal system. However, it is unclear if such bias also exists in the text of judge…

From  Research Princeton Research Day 12 likes 60 plays

Causal Effects of Depression on Job Satisfaction, Mindy Burton, UG '23 (3881135)

My research explores the relationship between depression and job satisfaction. Less than half of American employees feel satisfied with their jobs. Low job satisfaction affects more than an…

From  Research Princeton Research Day 0 likes 57 plays

CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure

In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under…

From  CI Center for Information Technology Policy 0 likes 11 plays

Intro to Machine Learning, Part 4 of 4

This course is primarily intended for non-computer science students who want to understand the foundations of building and testing an ML pipeline, different model types, important considerations in…

From  Andrea Rubinstein 0 likes 14 plays

CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data

Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However,…

From  CI Center for Information Technology Policy 0 likes 16 plays

Multilingualism in Higher Education: Possible Implications for Language Teaching and Learning

In the last decade, changes in society, such as global and local mobility and an intensification of communication and social relationships, had a significant impact on the way we conceptualize…

From  PC Princeton Center for Language Study 0 likes 33 plays

CITP Seminar: Olga Russakovsky - Fairness in Visual Recognition: Redesigning the Datasets, Improving the Models and Diversifying the AI Leadership

Computer vision models trained on unparalleled amounts of data have revolutionized many applications. However, more and more historical societal biases are making their way into these seemingly…

From  CI Center for Information Technology Policy 0 likes 118 plays

GSS16August2021_Alt

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