AI resources update: 1. PwC 2025 Responsible AI survey | 2. ISO/IEC 42001 guide for business | 3. Architectures of Global AI Governance

This article is part of an ongoing series looking at AI in KM, and KM in AI.

This AI resources update features three further new free open access resources that can assist the implementation of ethical and responsible artificial intelligence (AI) in knowledge management (KM):

1. PwC’s 2025 Responsible AI survey: From policy to practice.
2. ISO/IEC 42001:2023 guide for business.
3. Architectures of Global AI Governance: From Technological Change to Human Choice.

1. PwC’s 2025 Responsible AI survey: From policy to practice

Articles in RealKM Magazine‘s artificial intelligence series have highlighted the need for frameworks for the responsible use of artificial intelligence (AI) in knowledge management (KM).

PwC’s 2025 Responsible AI survey: From policy to practice¹ reveals that not only does responsible AI benefit the safe and trustworthy use of AI in KM, it is also becoming a driver of business value. Nearly 60% of executives say responsible AI boosts ROI and efficiency, and 55% report improvements in customer experience and innovation.

The focus is now changing to operationalization – turning Responsible AI principles into scalable, repeatable processes – with half of the survey respondents citing this as their biggest hurdle. The growing range of research and resources on ethical and responsible AI in RealKM Magazine‘s artificial intelligence series can greatly assist with this.

2. ISO/IEC 42001:2023 guide for business

Also supporting ethical and responsible AI in KM for business, the free report Understanding 42001: Guide for Australian Business² has been published by Standards Australia, CSIRO, and Australia’s National Artificial Intelligence Centre. Although developed in an Australian context, much of the content is more widely applicable.

The report advises that ISO/IEC 42001:2023³ addresses the need for consistency and ethical implementation of AI across borders. There is a knowledge gap across organisations when it comes to managing the potential risks and complexities of AI. Data gathered for the latest Australian Responsible AI Index report found that although the vast majority (82%) of companies surveyed believed they were taking a best-practice approach to responsibly using AI in their businesses, less than a quarter (24%) had any measures in place to ensure that was what they were actually doing. These figures are mirrored globally.

The report helps to address this knowledge gap by providing information on ISO/IEC 42001, its benefits, and how it will impact organisations and the broader community. It includes information on the purpose of ISO/IEC 42001, its development, and the importance of certification.

3. Architectures of Global AI Governance: From Technological Change to Human Choice

Articles in RealKM Magazine‘s artificial intelligence series have also highlighted the need for countries and international institutions such as United Nations (UN) agencies to have sound governance arrangements to address the impacts and risks of artificial intelligence (AI).

How can they govern this changing technology, in a rapidly changing world, using governance tools that may themselves be altered by AI? The open access book Architectures of Global AI Governance: From Technological Change to Human Choice⁴ provides conceptual and practical tools to tackle this question.

The book argues that, in crafting the global AI governance architecture, we must reckon with three facets of change:

• sociotechnical changes in AI systems’ impacts
• AI-driven disruptions to the fabric of international law
• political changes in the global AI regime complex.

Rather than just being an inquiry into how to govern AI, the book explores the changing face of global cooperation in the AI era, and how we can safeguard human choice over a future of transformative technological change.

Header image source: Created by Bruce Boyes with Microsoft Designer Image Creator.

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