Search Results for author: Rayid Ghani

Found 12 papers, 6 papers with code

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings

no code implementations13 May 2021 Hemank Lamba, Kit T. Rodolfa, Rayid Ghani

Applications of machine learning (ML) to high-stakes policy settings -- such as education, criminal justice, healthcare, and social service delivery -- have grown rapidly in recent years, sparking important conversations about how to ensure fair outcomes from these systems.

Fairness

Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy

no code implementations5 Dec 2020 Kit T. Rodolfa, Hemank Lamba, Rayid Ghani

Growing use of machine learning in policy and social impact settings have raised concerns for fairness implications, especially for racial minorities.

Fairness

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions

1 code implementation27 Oct 2020 Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani

Explainability is a crucial requirement for effectiveness as well as the adoption of Machine Learning (ML) models supporting decisions in high-stakes public policy areas such as health, criminal justice, education, and employment, While the field of explainable has expanded in recent years, much of this work has not taken real-world needs into account.

Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis

no code implementations27 Aug 2020 Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Liliana Carvajal, Katerine Zapata Erazo, Ivan Enrique Contreras Cala, Jeffrey Villaveces, Daniela Rubio, Rayid Ghani

Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape an economically devastated country during what is one of the largest humanitarian crises in modern history.

Computers and Society

Bandit Data-driven Optimization: AI for Social Good and Beyond

no code implementations26 Aug 2020 Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

The use of machine learning (ML) systems in real-world applications entails more than just a prediction algorithm.

Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions

1 code implementation24 Jan 2020 Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Ivan Higuera Mendieta, Jamie Larson, Rayid Ghani

The criminal justice system is currently ill-equipped to improve outcomes of individuals who cycle in and out of the system with a series of misdemeanor offenses.

Decision Making Fairness

A Clinical Approach to Training Effective Data Scientists

no code implementations15 May 2019 Kit T. Rodolfa, Adolfo De Unanue, Matt Gee, Rayid Ghani

Like medicine, psychology, or education, data science is fundamentally an applied discipline, with most students who receive advanced degrees in the field going on to work on practical problems.

Aequitas: A Bias and Fairness Audit Toolkit

2 code implementations14 Nov 2018 Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T. Rodolfa, Rayid Ghani

Recent work has raised concerns on the risk of unintended bias in AI systems being used nowadays that can affect individuals unfairly based on race, gender or religion, among other possible characteristics.

Decision Making Fairness

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks

1 code implementation9 May 2018 Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani

A barrier to proactive maintenance is the city's inability to predict the risk of failure on parts of its infrastructure.

Applications

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