Online workshop from October 19-21, 2021 from 11:00 AM – 5:00 PM ET. Sponsored by the National Institute of Standards and Technology (NIST). This virtual Artificial Intelligence Risk Management Framework (RMF) workshop will support NIST’s goal of fostering an open, transparent, and collaborative process as NIST develops a Framework to manage risks to individuals, organizations, and society associated with AI. Participate in this event with AI experts and stakeholders across sectors as we share feedback received during our earlier Request for Information (RFI). Registrants will also have the opportunity to ask questions and hear directly from NIST about future plans for the AI RMF and explore and contribute to overarching project goals. Suggested workshop participants include those from government, industry, and academia with an understanding of AI concepts.
There is no registration fee. The link to the virtual event will be sent to registered attendees on October 18, 2021. The recording will be posted on the event page after the event. Registration is not required to view the recording. Please only register if you intend to view the live event.
NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The Framework is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.
The Framework will be developed through a consensus-driven, open, transparent, and collaborative process that will include workshops and other opportunities to provide input. It is intended to build on, align with, and support AI risk management efforts by others.
NIST’s work on the Framework is consistent with its broader AI efforts, recommendations by the National Security Commission on Artificial Intelligence, and the Plan for Federal Engagement in AI Standards and Related Tools. Congress has directed NIST to collaborate with the private and public sectors to develop the AI RMF.
The Framework aims to foster the development of innovative approaches to address characteristics of trustworthiness including accuracy, explainability and interpretability, reliability, privacy, robustness, safety, security (resilience), and mitigation of unintended and/or harmful bias, as well as of harmful uses. The Framework should consider and encompass principles such as transparency, fairness, and accountability during design, deployment, use, and evaluation of AI technologies and systems. These characteristics and principles are generally considered as contributing to the trustworthiness of AI technologies and systems, products, and services.
Registration Contact: Rachel Trello, firstname.lastname@example.org (301) 975-2002
NIST has extended the deadline for RFI responses until September 15, 2021. The formal notice is posted here.