Student Work
IQP CS TS2 Inclusive Reasoning in AI
Öffentlich DepositedFairness in Artificial Intelligence is a growing issue in new technologies today. This paper outlines apparent social problems in Artificial Intelligence (AI) and Machine Learning (ML) and possible solutions. One solution is to provide a comprehensive guide to computer scientists and software engineers on how to integrate fairness in ML. The guide covers data collection process, pre-processing data, in-processing of the algorithm, and post-processing on how the end user is effected.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- 69876
- E-project-060122-001611
- Stichwort
- Advisor
- Year
- 2022
- UN Sustainable Development Goals
- Date created
- 2022-06-01
- Resource type
- Source
- E-project-060122-001611
- Rights statement
- Zuletzt geändert
- 2023-01-13
Beziehungen
- In Collection:
Objekte
Artikel
Miniaturansicht | Titel | Sichtbarkeit | Embargo Release Date | Aktionen |
---|---|---|---|---|
|
Improving_AI_Technologies_To_Be_More_Inclusive.pdf | Öffentlich | Herunterladen | |
|
A_Programmer_s_Guide_To_Inclusive_AI.pdf | Öffentlich | Herunterladen |
Permanent link to this page: https://digital.wpi.edu/show/5x21tj68g