The MAIEI Learning Community Report
- URL: http://arxiv.org/abs/2112.01531v1
- Date: Wed, 10 Nov 2021 21:10:52 GMT
- Title: The MAIEI Learning Community Report
- Authors: Brittany Wills, Christina Isaicu, Heather von Stackelberg, Lujain
Ibrahim, Matthew Hutson, Mitchel Fleming, Nanditha Narayanamoorthy, Samuel
Curtis, Shreyasha Paudel, Sofia Trejo, Tiziana Zevallos, Victoria Mart\'in
del Campo, and Wilson Lee
- Abstract summary: The Learning Community cohort was convened by MAIEI in Winter 2021 to work through and discuss important research issues in the field of AI ethics.
The community came together supported by facilitators from the MAIEI staff to vigorously debate and explore the nuances of issues like bias, privacy, disinformation, accountability, and more especially examining them from the perspective of industry, civil society, academia, and government.
- Score: 0.4793178193844172
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This is a labor of the Learning Community cohort that was convened by MAIEI
in Winter 2021 to work through and discuss important research issues in the
field of AI ethics from a multidisciplinary lens. The community came together
supported by facilitators from the MAIEI staff to vigorously debate and explore
the nuances of issues like bias, privacy, disinformation, accountability, and
more especially examining them from the perspective of industry, civil society,
academia, and government.
The outcome of these discussions is reflected in the report that you are
reading now - an exploration of a variety of issues with deep-dive, critical
commentary on what has been done, what worked and what didn't, and what remains
to be done so that we can meaningfully move forward in addressing the societal
challenges posed by the deployment of AI systems.
The chapters titled "Design and Techno-isolationism", "Facebook and the
Digital Divide: Perspectives from Myanmar, Mexico, and India", "Future of
Work", and "Media & Communications & Ethical Foresight" will hopefully provide
with you novel lenses to explore this domain beyond the usual tropes that are
covered in the domain of AI ethics.
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