A capacity to examine critically the relationship between humans and technology
St. Lawrence University. 10th learning goal
Issue Areas for Generative A.I.
| Copyright Violations | Bias Amplification |
| Data Privacy | Labor Roles & Morale |
| Data Provenance | Ecological Impact |
| Acceptable Use | Cybersecurity |
CSAIL
Computer Science & Artificial Intelligence Laboratory / MIT MIT’s Computer Science and Artificial Intelligence Laboratory pioneers research in computing that improves the way people work, play, and learn. We focus on…
D.A.I.R.
Distributed AI Research Institute (D.A.I.R) “We are an interdisciplinary and globally distributed AI research institute rooted in the belief that AI is not inevitable, its harms are preventable, and when…
Data Feminism (Book)
A new way of thinking about data science and data ethics informed by the ideas of intersectional feminism. The seven principles of data feminism are as follows:
Data Feminism Network
“DFN is inspired by, but unaffiliated with, the book Data Feminism, written by Catherine D’Ignazio and Lauren F. Klein and published by the MIT Press. We are a group of young professionals…
EAI
The Institute for Experiential A.I. / Northeastern “The Institute for Experiential AI researches and develops human-centric AI solutions that leverage machine technology to extend human intelligence. We solve core…
HAI
Human-Centered Artificial Intelligence / Stanford University “The mission of HAI is to advance AI research, education, policy and practice to improve the human condition. Led by faculty from multiple departments…
P.A.I. – Partnership on AI
“Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society. By convening…