We are creating some awesome events for you. Kindly bear with us.

U.S. AI Risk Management Framework

When compared to conventional software, AI faces several hazards. AI systems are taught on data that can change over time, often dramatically and unexpectedly, influencing the systems in unforeseen ways.

These systems are also “socio-technical,” meaning they are affected by social dynamics and human behaviour. The intricate interplay of these technical and societal aspects might result in AI dangers that influence people’s lives in circumstances ranging from their interactions with online chatbots to the outcomes of job and loan applications.

As a result, the National Institute of Standards and Technology (NIST) of the United States Department of Commerce has issued it’s Artificial Intelligence Risk Management Framework (AI RMF 1.0), a guidelines document for voluntary use by organisations designing, developing, and deploying, or using AI services to help manage the many risks of AI technologies. The AI RMF was developed in close partnership with the business and public sectors in response to a directive from Congress.

“This voluntary framework will assist in developing and deploying AI technology in ways that support the United States, other nations, and organisations to improve AI trustworthiness while limiting risks following our democratic ideals,” said Deputy Commerce Secretary Don Graves. “It should stimulate AI innovation and growth while enhancing — rather than suppressing or undermining — civil freedoms, civil rights, and equity for everyone.”

The AI RMF establishes a flexible, organised, and quantified process for enterprises to address AI risks. This AI risk management method can reap the value of AI technologies while limiting the potential of negative repercussions on individuals, groups, communities, companies, and society.

It is meant to respond to the AI landscape as technologies advance and to be used by organisations to various degrees and competencies so that society can profit from AI while simultaneously being guarded against its potential downsides.

The approach enables firms to think differently about AI and vulnerability. It encourages enterprises to approach AI with a new perspective, including how to think about, discuss, assess, and monitor AI risks and their possible positive and negative implications.

Under Secretary for Standards and Technology and NIST Director Laurie E. Locascio underlined the framework is part of NIST’s broader endeavour to foster trust in AI technologies, which is required if the technology is to be generally embraced by society.

“The AI Risk Management Framework may assist enterprises and other organisations of any size and sector in launching or improving their AI risk management methods,” Locascio added. “It offers a new way to incorporate responsible practises and actionable recommendations to operationalise trustworthy and responsible AI. We anticipate that the AI RMF will aid in the development of best practices and standards.”

The AI RMF is split into two sections. The first section addresses how enterprises should frame AI risks and describes the features of trustworthy AI systems. The framework’s second section, the core, describes four specific roles — govern, map, measure, and manage — to assist companies in addressing the hazards of AI systems in practice. These functions can be used in various circumstances and at any point in the AI life cycle.

For the past 18 months, NIST has been building the AI RMF in collaboration with the corporate and public sectors. The paper incorporates about 400 sets of formal comments from NIST from over 240 different organisations on drafting versions of the framework. The National Institute of Standards and Technology (NIST) today released statements from some organisations that have already committed to using or promoting the framework.

The agency also released a voluntary AI RMF Playbook today as an advisory book for navigating and applying the framework. NIST intends to cooperate with the AI community to enhance the framework regularly and invites additions and changes to the playbook at any time. In addition, NIST expects to develop a Trustworthy and Responsible AI Resource Centre to assist enterprises in implementing the AI RMF 1.0.


CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.


Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.


SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.


HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 


IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

Send this to a friend