Shalaleh Rismani on Muck Rack

Shalaleh Rismani

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Articles

Computer Science > Human-Computer Interaction

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By Shane Saunderson, Shalaleh Rismani
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (649) Issue with article?

Responsible AI measures dataset for ethics evaluation of AI systems - Scientific Data

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By Leah Davis, Negar Rostamzadeh, Renee M. Shelby, Shalaleh Rismani, Bonam Mingole
| Nature
Abstract Meaningful governance of any system requires the system to be assessed and monitored effectively. In the domain of Artificial Intelligence (AI), global efforts have established a set of ethical principles, including fairness, transparency, and privacy upon which AI governance expectations are being built. The computing research community has proposed numerous means of measuring an AI system’s normative qualities along these principles.
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