NIST Expands AI Consortium to Advance AI Development

The National Institute of Standards and Technology (NIST) is expanding its AI Consortium, formerly known as the AI Safety Institute Consortium, to advance artificial intelligence development and adoption. The consortium will focus on AI innovation and evaluation, with six task groups concentrating on different aspects of AI measurement science. NIST is calling for new members to join, including researchers, developers, and industry leaders.

Boston Children's Hospital is leveraging AI to improve patient care, diagnose rare diseases, and achieve operational efficiencies. The hospital has identified over 40 rare conditions previously unresolved and saved over $7 million in redeployed labor from operational time savings. Harjiv Singh, CEO of CambrianEdge.ai, emphasizes that AI may not necessarily create job losses, but rather augment human capabilities.

In other news, AI deepfakes of dozens of Canadian women have been shared online, leading to charges against two men. The Institute for Public Policy Research (IPPR) recommends giving staff more say over AI adoption to ensure benefits are shared fairly. Additionally, experts warn that AI systems can perpetuate and amplify existing social inequalities if not designed and trained carefully.

Key Takeaways

['* NIST expands AI Consortium to advance AI development and adoption.', "* Boston Children's Hospital uses AI to diagnose rare conditions, saving $7 million.", '* Harjiv Singh emphasizes AI may augment human capabilities, not replace jobs.', '* AI deepfakes of Canadian women shared online, leading to charges.', '* IPPR recommends staff input on AI adoption for fair benefits.', '* AI systems can perpetuate and amplify existing social inequalities.', '* Most enterprise AI investments fail to deliver operational impact.', '* NIST AI Consortium focuses on AI measurement science and evaluation.', "* Boston Children's Hospital identifies over 40 rare conditions using AI.", '* AI may not create job losses, but rather augment human capabilities.']

NIST Expands AI Consortium, Seeks New Members

The National Institute of Standards and Technology (NIST) is expanding its AI Consortium to advance artificial intelligence development and adoption. The consortium will focus on AI innovation and evaluation, with six task groups concentrating on different aspects of AI measurement science. NIST is calling for new members to join, including researchers, developers, and industry leaders.

NIST Rebrands AI Safety Institute as AI Consortium

The US National Institute of Standards and Technology (NIST) has rebranded its AI Safety Institute Consortium as the NIST Artificial Intelligence Consortium. The new consortium aims to establish a measurement science for AI development and deployment. The initiative includes testing methodologies, standards development, interoperability research, and performance evaluation.

NIST AI Consortium Gets New Name and Scope

The National Institute of Standards and Technology's AI Safety Consortium has been rebranded as the NIST Artificial Intelligence Consortium. The new consortium will focus on AI measurement efforts and seeks new member organizations. The goal is to encourage AI technological innovations and harness the broader community's interests and capabilities.

Boston Children's Hospital Uses AI for New Diagnoses

Boston Children's Hospital has integrated AI into its clinical and operational infrastructure to improve patient care. The hospital uses AI to diagnose rare conditions, reduce operational costs, and expand capacity. Over 40 rare conditions have been identified using AI, and 60,000 hours have been saved across AI-enabled workflows.

Boston Children's Hospital AI Breakthroughs

Boston Children's Hospital leverages AI as core infrastructure to improve patient care, diagnose rare diseases, and achieve operational efficiencies. The hospital has identified over 40 rare conditions previously unresolved and saved over $7M in redeployed labor from operational time savings.

AI Deepfakes of Canadian Women Shared Online

AI deepfakes of dozens of Canadian women in violent and sexual images have been shared online. Two men have been charged following a multi-jurisdictional investigation. The Ottawa Police Service has charged them with harassment, uttering threats, and creation of obscene matter.

BSides Seattle 2026 - Keynote: Attacking AI

BSides Seattle 2026 features a keynote on attacking AI, presented by Jason Haddix. The presentation focuses on security and AI.

UK Thinktank Urges Staff Input on AI Adoption

The Institute for Public Policy Research (IPPR) recommends giving staff more say over AI adoption to ensure benefits are shared fairly. The thinktank suggests a statutory duty on employers to consult workers on AI adoption and a 'worker support levy' to increase employee bargaining power.

Author's Use of AI-Generated Quotes Sparks Controversy

The author of 'The Future of Truth' used AI-generated quotes in the book, sparking criticism. The quotes were generated using a tool called WordLift, which uses natural language processing to create text that is indistinguishable from human-written text.

AI Inheriting Human Biases

Artificial intelligence systems inherit human biases, reinforcing stereotypes like 'doctor equals man' and 'nurse equals woman.' Experts warn that AI systems can perpetuate and amplify existing social inequalities if not designed and trained carefully.

Fears of Job Losses in AI Boom May Be Overblown

Harjiv Singh, CEO of CambrianEdge.ai, believes that AI may not necessarily create job losses, but rather augment human capabilities. He emphasizes the importance of human judgment and experience in the AI-driven workplace.

The Trust Gap in Agentic Commerce

The trust gap in agentic commerce hinders the completion of transactions. Skyfire CEO emphasizes the importance of identity and trust in enabling AI agents to complete purchases on behalf of consumers.

Most Enterprise AI Investments Fail

Most enterprise AI investments fail to deliver operational impact due to a lack of evidence-based evaluation and poor integration. A disciplined AI platform evaluation process can help CIOs and CDOs avoid common pitfalls.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

NIST AI Consortium Artificial Intelligence Measurement Science Standards Development Interoperability Research Performance Evaluation Boston Children's Hospital AI Integration Patient Care Rare Conditions Operational Efficiency Deepfakes AI Security Attacking AI AI Adoption Worker Input AI-Generated Quotes Natural Language Processing Human Biases Social Inequalities Job Losses AI-Augmented Workforce Agentic Commerce Trust Gap Identity Verification Enterprise AI Investments Evidence-Based Evaluation

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