Online conference from August 8-11, 2021. REJEBECS, Haiti- Laval University Quebec- University of Technology of Haiti. Artificial Intelligence stands out remarkably from other types of existing computational mechanisms, in particular, . . .
Machine Learning Failures. Curriculum developed by University of California, Berkeley – Center for Long-Term Cybersecurity. A series of Python labs designed to train the next generation of students to identify, . . .
Article by Judith Simon, Pak-Hang Wong & Gernot Rieder. Published in Internet Policy Review. Abstract: Recently, amid growing awareness that computer algorithms are not neutral tools but can cause harm . . .
Blog post by Matthew Stewart. Published on Towards Data Science. Excerpt: Understanding and combating issues of fairness in supervised learning. Note: This article is intended for a general audience to try . . .
News article by Katyanna Quach. Published by The Register. Excerpt: MIT has taken offline its highly cited dataset that trained AI systems to potentially describe people using racist, misogynistic, and . . .
Toolkit developed by Microsoft. Fairlearn provides developers and data scientists with capabilities to assess the fairness of their machine learning models and mitigate unfairness. Assess existing models and train new . . .
Article by Cynthia Rudin, Caroline Wang, and Beau Coker. Published in Harvard Data Science Review. Abstract: In our current society, secret algorithms make important decisions about individuals. There has been . . .
Peer-reviewed article by Zhiyuan “Jerry” Lin, Jongbin Jung, Sharad Goel, and Jennifer Skeem. Published in Science Advances. Abstract: Dressel and Farid recently found that laypeople were as accurate as statistical . . .
Podcast produced by The TWIML AI Podcast. Generally, when we think of AI ethics we think of a few technical concepts — explainability, transparency, data biases, etc. — but Abeba . . .
News article by By Matthew Hutson. Published by IEEE Spectrum. Excerpt: Fair clustering algorithms aim to make artificial intelligence more impartial. Say you work at a big company and you’re . . .
Conference paper by Debjani Saha, Candice Schumann, et al. Presented at the 2020 AAAI/ACM Conference on AI, Ethics, and Society. Abstract: Bias in machine learning has manifested injustice in several . . .