Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Rayid Ghani"'
Publikováno v:
Data & Policy, Vol 5 (2023)
Explainability is highly desired in machine learning (ML) systems supporting high-stakes policy decisions in areas such as health, criminal justice, education, and employment. While the field of explainable ML has expanded in recent years, much of th
Externí odkaz:
https://doaj.org/article/5106e57acc0a470bad3adcf39bbbbed1
Autor:
Kit T. Rodolfa, Rayid Ghani
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/a275a015eca54bb4b7e9eca294009566
Autor:
Harrison Wilde, Lucia L. Chen, Austin Nguyen, Zoe Kimpel, Joshua Sidgwick, Adolfo De Unanue, Davide Veronese, Bilal Mateen, Rayid Ghani, Sebastian Vollmer
Publikováno v:
Data & Policy, Vol 3 (2021)
Rough sleeping is a chronic experience faced by some of the most disadvantaged people in modern society. This paper describes work carried out in partnership with Homeless Link (HL), a UK-based charity, in developing a data-driven approach to better
Externí odkaz:
https://doaj.org/article/60ecaacfe16e4ed39e7404c54dbfea89
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12154-12162
Food waste and insecurity are two societal challenges that coexist in many parts of the world. A prominent force to combat these issues, food rescue platforms match food donations to organizations that serve underprivileged communities, and then rely
Publikováno v:
Nature Machine Intelligence. 3:896-904
Growing use of machine learning in policy and social impact settings have raised concerns for fairness implications, especially for racial minorities. These concerns have generated considerable interest among machine learning and artificial intellige
Publikováno v:
ACM SIGKDD Explorations Newsletter. 23:69-85
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 outc
Publikováno v:
Big Data. 7:249-261
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. Unlike these disciplines, however, data science educati
Publikováno v:
ACM SIGKDD Explorations Newsletter. 21:3-5
Solve for Good is a platform for social good organizations to pose their problems that need data intensive help, and for volunteers to help solve those problems. Once the projects are submitted by the organization, they go through a scoping process (
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7dcd9ebe5d4810c7fa029fcb09a896b
https://doi.org/10.1201/9780429324383
https://doi.org/10.1201/9780429324383
Publikováno v:
Big Data and Social Science ISBN: 9780429324383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70fb2df00b9a0c12b3646795cbae7fdd
https://doi.org/10.1201/9780429324383-1
https://doi.org/10.1201/9780429324383-1