Tag: responsible-ai

15 links

ai.googleblog.com > Candice Schumann and Susanna Ricco
A Step Toward More Inclusive People Annotations in the Open Images Extended Dataset
15 jun. 2021 - In 2016, we introduced Open Images, a collaborative release of ~9 million images annotated with image labels spanning thousands of object categories and bounding box annotations for 600 classes. Since then, we have made several updates, including the release of crowdsourced data to the Open Images Extended collection to improve diversity of object annotations. While the labels provided with these datasets were expansive, they did not focus on sensitive attributes for people, which are critically important for many machine learning (ML) fairness tasks, such as fairness evaluations and bias mitigation. In fact, finding datasets that include thorough labeling of such sensitive attributes is difficult, particularly in the domain of computer vision.
 · fairness · gender · google-streetview · machine-learning · responsible-ai

www.ethicsinc-ontwerpspel.nl > Huib Aldewereld, Roelant Ossewaarde, Roland Bijvank, Rudy van Belkom and Stefan Leijnen
An Agile Framework for Trustworthy AI
The ethics guidelines put forward by the AI High Level Expert Group (AI-HLEG) present a list of seven key requirements that Human-centered, trustworthy AI systems should meet. These guidelines are useful for the evaluation of AI systems, but can be complemented by applied methods and tools for the development of trustworthy AI systems in practice. In this position paper we propose a framework for translating the AI-HLEG ethics guidelines into the specific context within which an AI system operates. This approach aligns well with a set of Agile principles commonly employed in software engineering.
 · artificial-intelligence · not-read · project-nhl · responsible-ai

Our JUST AI programme is a network of researchers and practitioners, led by Dr Alison Powell from LSE, established in partnership with the Arts and Humanities Research Council (AHRC). The humanities-led network will build on research in AI ethics, orienting it around practical issues of social justice, distribution, governance and design, and seek to inform the development of policy and practice.
 · data-justice · justice · project-hva · responsible-ai

Responsible AI Practices
We're committed to progress in the responsible development of AI and to sharing knowledge, research, tools, datasets, and other resources. Learn more about recommended practices and our current work.
 · google · responsible-ai