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The application of artificial intelligence (AI) methods to materials research and development (MR&amp;D) is poised to radically reshape how materials are discovered, designed, and deployed into manufactured products. Materials underpin modern life, and advances in this space have the potential to markedly increase the quality of human life, address pressing environmental issues, and provide new, enabling, technologies that can help people realize their potential.
This chapter delves into the many ways that AI is currently being applied to accelerate MR&amp;D, the implications of this revolution, and the new frontiers that are now being opened for exploration.

The Trusted AI Safety Expert Certification (TAISE) —developed by the Cloud Security Alliance (CSA) in collaboration with <a href="https://ai.northeastern.edu/">Northeastern University</a>, a global leader in AI ethics and experiential learning, empowers professionals to lead the responsible use of artificial intelligence. 
 
This rigorous, research-based program features 10 comprehensive modules and a final certification exam designed for those who build, manage, or audit intelligent systems. Learners gain hands-on skills to assess and mitigate real-world AI risks, apply safety and security controls, ensure regulatory compliance, and champion trustworthy AI adoption within their organizations. 
 
As AI adoption accelerates, organizations face growing regulatory, ethical, and security challenges. The emergence of generative and agentic AI has introduced new threat landscapes, making robust governance and risk management essential. TAISE equips professionals with the expertise to navigate this complexity with confidence.

The Trusted AI Safety Expert Certification (TAISE) —developed by the Cloud Security Alliance (CSA) in collaboration with Northeastern University , a global leader in AI ethics and experiential learning, empowers professionals to lead the responsible use of artificial intelligence. This rigorous, research-based program features 10 comprehensive modules and a final certification exam designed for those who build, manage, or audit intelligent systems. Learners gain hands-on skills to assess and mitigate real-world AI risks, apply safety and security controls, ensure regulatory compliance, and champion trustworthy AI adoption within their organizations. As AI adoption accelerates, organizations face growing regulatory, ethical, and security challenges. The emergence of generative and agentic AI has introduced new threat landscapes, making robust governance and risk management essential. TAISE equips professionals with the expertise to navigate this complexity with confidence .

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Artificial Intelligence

Employee Training & Development

National Guard

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Department of Agriculture

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U.S. Agency for International Development

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Intrinsec Security

Trusted AI Safety Expert (TAISE) Certification

The Technology Conference brings together law enforcement leaders, innovators, and industry partners for a focused look at the tools, policies, and operational strategies shaping the future of policing. This forward-looking event is designed to help agencies evaluate emerging technologies, strengthen organizational readiness, and make informed decisions in an increasingly digital public safety environment.The 2026 agenda will feature keynote presentations, expert-led sessions, panel discussions, and interactive roundtables exploring the evolving role of technology in law enforcement. Topics will include artificial intelligence, policy considerations, investigative tools, communications, drones, data-driven operations, and practical approaches to responsible implementation.Designed for executive leaders, command staff, and public safety professionals involved in technology planning and implementation, the Technology Conference offers practical insights, real-world case studies, and meaningful collaboration to help agencies lead with confidence, responsibility, and innovation.

The Technology Conference brings together law enforcement leaders, innovators, and industry partners for a focused look at the tools, policies, and operational strategies shaping the future of policing. This forward-looking event is designed to help agencies evaluate emerging technologies, strengthen organizational readiness, and make informed decisions in an increasingly digital public safety environment. The 2026 agenda will feature keynote presentations, expert-led sessions, panel discussions, and interactive roundtables exploring the evolving role of technology in law enforcement. Topics will include artificial intelligence, policy considerations, investigative tools, communications, drones, data-driven operations, and practical approaches to responsible implementation. Designed for executive leaders, command staff, and public safety professionals involved in technology planning and implementation, the Technology Conference offers practical insights, real-world case studies, and meaningful collaboration to help agencies lead with confidence, responsibility, and innovation.

Onsite

Conference / Summit

Cybersecurity

Modernization

Government Contractors

California Police Chiefs Association

Insight

CPCA Tech Conference 2026

Federal agencies closed FY2025 with 339,671 backlogged FOIA requests—27% more than at the close of FY2024—and they face this backlog with roughly 800 fewer full-time FOIA staff than they had before. Twenty-two agencies finished the year above the 1,000-request threshold that obliges them to file a reduction plan with the Department of Justice. As the backlog is expected to grow and become even more unmanageable, roughly one in five federal agencies have brought artificial intelligence (AI) into FOIA processing, without fully knowing what it takes to create a process where AI-powered redaction will survive a requester appeal or court review.To safely accelerate workflows without sacrificing legal defensibility, agencies need explainable, auditable and contestable AI infrastructure that empowers FOIA, records, and legal teams to automate repetitive review tasks while keeping human oversight firmly in control. By aligning advanced machine learning with strict federal compliance standards, IT and information governance professionals can confidently deploy scalable solutions that withstand judicial scrutiny and significantly reduce processing backlogs.Register today for this webinar to learn:<ul style="color: rgb(98, 98, 98);"><li style="color: rgb(97, 97, 97);">The primary drivers of FOIA and Privacy Act backlogs and the specific review stages where AI-assisted redaction reduced processing time</li><li style="color: rgb(97, 97, 97);">How to apply AI-assisted redaction to common FOIA exemptions, while keeping a human reviewer accountable for every decision</li><li style="color: rgb(97, 97, 97);">Where AI-assisted redaction can be applied to adjacent use cases, including congressional correspondence, OIG investigative records and Privacy Act responses.</li></ul>

Federal agencies closed FY2025 with 339,671 backlogged FOIA requests—27% more than at the close of FY2024—and they face this backlog with roughly 800 fewer full-time FOIA staff than they had before. Twenty-two agencies finished the year above the 1,000-request threshold that obliges them to file a reduction plan with the Department of Justice. As the backlog is expected to grow and become even more unmanageable, roughly one in five federal agencies have brought artificial intelligence (AI) into FOIA processing, without fully knowing what it takes to create a process where AI-powered redaction will survive a requester appeal or court review. To safely accelerate workflows without sacrificing legal defensibility, agencies need explainable, auditable and contestable AI infrastructure that empowers FOIA, records, and legal teams to automate repetitive review tasks while keeping human oversight firmly in control. By aligning advanced machine learning with strict federal compliance standards, IT and information governance professionals can confidently deploy scalable solutions that withstand judicial scrutiny and significantly reduce processing backlogs. Register today for this webinar to learn: The primary drivers of FOIA and Privacy Act backlogs and the specific review stages where AI-assisted redaction reduced processing time How to apply AI-assisted redaction to common FOIA exemptions, while keeping a human reviewer accountable for every decision Where AI-assisted redaction can be applied to adjacent use cases, including congressional correspondence, OIG investigative records and Privacy Act responses.

Format:	White Paper
Topics:	Artificial Intelligence
Website:	Visit Publisher Website
Author(s):	Debra J. Audus Kamal Choudhary Brian L. DeCost A. Gilad Kusne Francesca Tavazza James A. Warren
Publisher:	National Institute of Standards and Technology (NIST)
Published:	April 25, 2023
License:	Public Domain
Tags:	Artificial Intelligence materials research and development Research and development

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Artificial Intelligence for Materials

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