LatticeFlow AI, the leading AI platform for
building safe and trustworthy AI solutions, proudly joins the U.S.
AI Safety Institute Consortium (AISIC). Following a series of
strategic engagements with U.S. government agencies and
international standards organizations, including the ISO and NIST,
LatticeFlow AI joins leading AI organizations to broaden and
accelerate its efforts in ensuring the safe and responsible
adoption of AI solutions.
LatticeFlow AI, the leading platform empowering Artificial
Intelligence (AI) teams to build performant, safe, and trustworthy
AI solutions, proudly announces that it has joined the U.S. AI
Safety Institute Consortium (AISIC). LatticeFlow AI researchers
will support Working Group #3, focusing on capability evaluations.
Together with the National Institute of Standards & Technology
(NIST) and other consortium members, LatticeFlow AI will support
the development of methods, benchmarks, and testing environments
that help organizations operationalize the practices outlined in
NIST’s AI Risk Management Framework (RMF).
Dave Henry, SVP of Business Development at LatticeFlow AI,
added: “AI safety programs are interdisciplinary in nature,
requiring a broad range of management and technical skills to
execute. The Consortium brings diverse experts together to create
durable and innovative practices that promote trustworthy AI. We
look forward to contributing our knowledge of AI model safety and
collaborating on new approaches for scalable evaluations.”
Executive Demand for Trustworthy AI
Despite the impressive accuracy of AI models demonstrated in
pilots and proof-of-concept projects, building AI solutions that
perform reliably on real-world data remains an immense challenge.
This affects both technical teams building and delivering AI
solutions as well as management teams that need to quantify risks
and approve AI solutions for use in business-critical operations.
As a result, 85% of the models never make it into production, and
out of those that do, 91% degrade over time.
“Unfortunately, high-value AI deployments are being delayed due
to developer delay, insufficient good data governance and the
inability to quantify possible risks associated with the use of
their AI models,” stated Randolph Kahn Esq., President of Kahn
Consulting Inc. “Consortiums such as AISIC can produce detailed
guidelines and best practices, and when coupled with LatticeFlow
AI’s technology, this can lead to a significant reduction of the
time and cost required to complete thorough risk assessments and
unlock the value of AI systems.”
The U.S. AI Safety Institute Consortium
AISIC was established by the U.S. Department of Commerce’s
National Institute of Standards and Technology (NIST) to contribute
to the priority actions outlined in U.S. President Biden’s
Executive Order on the Safe, Secure, and Trustworthy Development
and Use of AI. These include developing red-teaming guidelines,
technical assessment standards, and risk management practices,
among other key elements to the development of trustworthy AI and
its responsible use.
LatticeFlow AI's Contributions to Making AI Safe and
Trustworthy
LatticeFlow AI’s association with AISIC follows a series of
contributions made by the LatticeFlow AI team towards the goals
outlined by AISIC and President Biden’s Executive Order. Since
2020, LatticeFlow AI has been an invited technical contributor to
key AI Safety initiatives at the International Organization for
Standardization, where it has actively contributed to the working
group focusing on the development and standards for Trustworthy AI.
Earlier this year, LatticeFlow AI hosted renowned AI leaders at the
World Economic Forum’s AI House, gathering key figures in AI,
including Gary Marcus (NYU), Apostol Vassilev (NIST), Kai Zenner
(European Parliament), Matthias Bossardt (KPMG), Thomas Stauner
(BMW), among other industry experts, to delve into the latest AI
developments and discuss responsible AI adoption.
From Standards to Practice: First AI Assessment for a Leading
Swiss Bank
Moving beyond the development of AI guidelines and standards,
this year, LatticeFlow AI announced the first industry-pioneering
technical AI Assessment for Migros Bank, a leading Swiss Bank,
demonstrating how these AI standards are used in practice to
mitigate risk and ensure regulatory compliance for
business-critical AI solutions. The results of this assessment,
alongside a concrete blueprint to implement AI governance and
technical AI assessments at enterprises and governments, were
presented at a dedicated event hosted at the ETH AI Center.
LatticeFlow AI’s Commitment to the U.S. and NIST’s AI Safety
Institute Consortium
With its contributions to AISIC, LatticeFlow AI will continue
its commitment to helping U.S. government agencies such as the U.S.
Army ensure the safety and trustworthiness of mission-critical AI
systems. Last year, White House officials announced LatticeFlow AI
as the first-place winner in the “red teaming” AI Privacy Prize
Challenge category. Subsequently, the company announced a strategic
expansion towards the US and a three-year strategic engagement with
the U.S. Army to build next-generation resilient AI solutions for
mission-critical defense use cases.
"Joining AISIC will allow us to accelerate and broaden our
impact by aligning our efforts towards ensuring AI trust and safety
with global AI leaders, enterprises, and governments," said Petar
Tsankov, Co-founder and CEO of LatticeFlow AI.
Interested in learning more?
- Watch the replay of our event on AI
Governance & Audits:
Navigating AI Risks and Compliance.
- Visit our web page to learn how to manage
your AI model risk with comprehensive technical AI assessments.
- If you are interested in conducting an AI
assessment, book a meeting with a LatticeFlow AI expert.
About LatticeFlow AI
LatticeFlow AI offers a cutting edge AI platform that empowers
enterprise teams to build performant, safe, and trustworthy AI at
scale. Our platform is designed to unlock the full value of AI by
systematically addressing critical model and data issues through
automated processes and intelligent workflows across your entire AI
lifecycle.
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