Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | September 28, 2022

Architecting IT infrastructure has never been more challenging than it is today. Many enduser workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT.

whitePaper | April 16, 2020

A well-built store—one that is consistent with others under a retailer’s umbrella—is a powerful tool for communicating a brand. In fact, arguably nothing (beyond the product itself) is a more tangible signifier of the brand than the store environment. This puts the store planning team in the position of acting as brand managers and means that for the construction manager, whether he/she is employed in house by the retail company or as a contractor specializing in retail construction, understanding the brand (the retailer’s goals, visions, and marketing strategies) is a cornerstone of day-to-day work.

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.

whitePaper | February 21, 2020

The information contained in the International Public Sector Fraud Forum documentation and training is subject to Crown Copyright 2020. The information should not be published or distributed in any way that could undermine the values and aims of the International Public Sector Fraud Forum. This content consists of material which has been developed and approved by the International Public Sector Fraud Forum.

whitePaper | August 25, 2022

Businesses are in different stages with their artificial intelligence (AI) technologies. Even today, after many years of evaluating AI, only one third of organizations have actually put AI into production (31%1 ). Organizations that started somewhat later are currently prototyping their AI solutions (20%). Companies that only recently came on board with AI are experimenting with AI technologies for their business cases (25%). And a relatively large portion (24%) have only just begun evaluating AI for their business cases.

whitePaper | August 16, 2020

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