February 25, 2024

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Methods to Measure User Trust in Artificial Intelligence Systems

As artificial intelligence (AI) has become an important part of better decision-making, the question of whether or not to trust a machine’s algorithm has been a centre of a public debate. The National Institute of Standards and Technology (NIST) published a document that proposes a list of nine factors that contribute to a person’s potential trust in an AI system.

According to NIST the issue of human trust in AI systems is measurable, they just need to measure it accurately and appropriately. Many factors get incorporated into human decisions about trust. The factors take into account the thoughts and feelings of users about the system and how they perceive risks in using it. The factors take into account the thoughts and feelings of users about the system and how they perceive risks in using it.

The researchers largely base the document on past research into trust, beginning with the integral role of trust in human history and how it has shaped our cognitive processes. They gradually turn to the unique trust challenges associated with AI, which is rapidly taking on tasks that go beyond human capacity.

AI systems can be trained to discover patterns in large amounts of data that are difficult for the human brain to comprehend. A system might continuously monitor a very large number of video feeds and, for example, spot a child falling into a harbour in one of them. Automation does not only replace human work, but it can do work that humans cannot possibly do alone.

The proposed factors are different from the technical requirements of trustworthy AI that NIST is establishing in collaboration with the broader community of AI developers and practitioners. The paper shows how a person may weigh the factors described differently depending on both the task itself and the risk involved in trusting the AI’s decision. The factors include accuracy, reliability, resiliency, objectivity, security, explainability, safety, accountability, and privacy.

For example, when it comes to accuracy in music, a music selection algorithm may not need to be overly accurate, especially if a person is curious to step outside their tastes at times to experience novelty. It would be a far different matter to trust an AI that was only 90% accurate in making a cancer diagnosis, which is a far riskier task.

NIST stressed that the ideas in the publication are based on background research and that they would benefit from public scrutiny. The model for AI user trust is all based on others’ research and the fundamental principles of cognition. For that reason, they would like feedback about work the scientific community might pursue to provide experimental validation of these ideas.

Researchers have been utilising AI in healthcare, such as identifying brain tumour. As reported by OpenGov Asia, the U.S.- based AI solution provider and National Taiwan University Hospital (NTUH) develop the first-ever AI-powered tumour auto-contouring solution called VBrain. In this case, the AI device can map out the location of the tumour more quickly and accurately than traditional manual contouring.

CEO of the U.S. AI solution provider said that he was thrilled to bring the AI device to their partners across the U.S. and Taiwan. Receiving unique FDA clearance for this solution allows the company to further its commitment to transforming radiotherapy workflows through developing full-body auto-contouring solutions. The future of AI is near, bringing the second set of eyes and hands to assist clinicians in analysing and segmenting medical scans and further improving patient cancer care.

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Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

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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.

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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.

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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.

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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. 

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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.

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