The State of AI Ethics Report (Volume 4)
- URL: http://arxiv.org/abs/2105.09060v1
- Date: Wed, 19 May 2021 11:02:13 GMT
- Title: The State of AI Ethics Report (Volume 4)
- Authors: Abhishek Gupta ((1) and (2)), Alexandrine Royer ((1) and (3)), Connor
Wright ((1) and (4)), Victoria Heath (1), Muriam Fancy ((1) and (5)),
Marianna Bergamaschi Ganapini ((1) and (6)), Shannon Egan ((1) and (7)), Masa
Sweidan ((1) and (8)), Mo Akif (1), and Renjie Butalid (1) ((1) Montreal AI
Ethics Institute, (2) Microsoft, (3) University of Oxford, (4) University of
Exeter, (5) University of Toronto, (6) Union College, (7) University of
British Columbia, (8) McGill University)
- Abstract summary: Report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing developments in the field.
The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments.
- Score: 36.121815158077446
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The 4th edition of the Montreal AI Ethics Institute's The State of AI Ethics
captures the most relevant developments in the field of AI Ethics since January
2021. This report aims to help anyone, from machine learning experts to human
rights activists and policymakers, quickly digest and understand the
ever-changing developments in the field. Through research and article
summaries, as well as expert commentary, this report distills the research and
reporting surrounding various domains related to the ethics of AI, with a
particular focus on four key themes: Ethical AI, Fairness & Justice, Humans &
Tech, and Privacy.
In addition, The State of AI Ethics includes exclusive content written by
world-class AI Ethics experts from universities, research institutes,
consulting firms, and governments. Opening the report is a long-form piece by
Edward Higgs (Professor of History, University of Essex) titled "AI and the
Face: A Historian's View." In it, Higgs examines the unscientific history of
facial analysis and how AI might be repeating some of those mistakes at scale.
The report also features chapter introductions by Alexa Hagerty
(Anthropologist, University of Cambridge), Marianna Ganapini (Faculty Director,
Montreal AI Ethics Institute), Deborah G. Johnson (Emeritus Professor,
Engineering and Society, University of Virginia), and Soraj Hongladarom
(Professor of Philosophy and Director, Center for Science, Technology and
Society, Chulalongkorn University in Bangkok).
This report should be used not only as a point of reference and insight on
the latest thinking in the field of AI Ethics, but should also be used as a
tool for introspection as we aim to foster a more nuanced conversation
regarding the impacts of AI on the world.
Related papers
- Artificial Intelligence and Life in 2030: The One Hundred Year Study on
Artificial Intelligence [74.2630823914258]
The report examines eight domains of typical urban settings on which AI is likely to have impact over the coming years.
It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI.
The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.
arXiv Detail & Related papers (2022-10-31T18:35:36Z) - Ethics in AI through the Practitioner's View: A Grounded Theory
Literature Review [12.941478155592502]
In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives.
We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners' views on ethics in AI.
We present a taxonomy of ethics in AI from practitioners' viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics.
arXiv Detail & Related papers (2022-06-20T00:28:51Z) - Metaethical Perspectives on 'Benchmarking' AI Ethics [81.65697003067841]
Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research.
An increasingly prominent research area in AI is ethics, which currently has no set of benchmarks nor commonly accepted way for measuring the 'ethicality' of an AI system.
We argue that it makes more sense to talk about 'values' rather than 'ethics' when considering the possible actions of present and future AI systems.
arXiv Detail & Related papers (2022-04-11T14:36:39Z) - State of AI Ethics Report (Volume 6, February 2022) [0.0]
Report is a comprehensive overview of what the key issues were in 2021, what trends are emergent, what gaps exist, and a peek into what to expect from the field of AI ethics in 2022.
It is a resource for researchers and practitioners alike to set their research and development agendas to make contributions to the field of AI ethics.
arXiv Detail & Related papers (2022-02-12T14:14:32Z) - The State of AI Ethics Report (Volume 5) [0.0]
Report focuses on AI ethics with a special emphasis on "Environment and AI", "Creativity and AI", and "Geopolitics and AI"
Special contributions on the subject of pedagogy in AI ethics, sociology and AI ethics, and organizational challenges to implementing AI ethics in practice.
Report also has an extensive section covering the gamut of issues when it comes to the societal impacts of AI.
arXiv Detail & Related papers (2021-08-09T10:47:14Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - The State of AI Ethics Report (January 2021) [34.40432073381641]
The State of AI Ethics aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the field's ever-changing developments.
The report distills the research and reporting surrounding various domains related to the ethics of AI, including: algorithmic injustice, discrimination, ethical AI, labor impacts, misinformation, privacy, risk and security, social media, and more.
Unique to this report is "The Abuse and Misogynoir Playbook," written by Dr. Katlyn Tuner (Research Scientist, Space Enabled Research Group, MIT), Dr. Danielle Wood (Assistant Professor, Program
arXiv Detail & Related papers (2021-05-19T10:59:17Z) - The State of AI Ethics Report (October 2020) [30.265104923077185]
The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020.
This report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing developments in the field.
The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments.
arXiv Detail & Related papers (2020-11-05T12:36:16Z) - The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI.
Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
arXiv Detail & Related papers (2020-10-07T12:25:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.