Bias is inherent. Unfortunately, human biases can unknowingly (or otherwise) creep into data collection and algorithm design in AI. It’s crucial for Leaders to proactively identify and mitigate these biases to ensure AI remains fair and ethical. This may involve techniques like using diverse datasets or employing fairness metrics during model development.
This includes assembling a diverse team of developers and ensuring fairness considerations are embedded within every stage of AI creation and deployment. In this topic, we explore ways to identify and address bias in data and algorithms to ensure fair and responsible AI. Leaders operating within clear ethical guidelines foster a sustainable AI environment, one that is conducive to ongoing innovation and responsible deployment of this powerful technology.
May 2025
Over the past few years, I’ve had many conversations with friends and acquaintances spanning a wide range of industries, including the civil service, agencies, consultancies, and the private sector. Throughout these conversations, the topic of AI has come up time and time again, with work […]
May 2025
Do we understand what we are building? Artificial Intelligence (AI) has dominated conversations in recent years and continues to do so. The World Economic Forum reports that 86% of employees believe AI will be a leading factor in driving business transformation. Alongside this, we have seen significant […]
May 2025
I’ve spent years working with senior leaders, mentoring them through transitions, guiding them towards board positions, and helping them reconnect with what makes their leadership meaningful. It’s a privilege. But it also gives me a front-row seat to a quiet crisis that isn’t being talked […]
April 2025
The Digital Leaders AI First Public Services Conference featured a packed agenda of speakers and thought leaders discussing the ethical considerations of AI and the opportunities it can bring to public services. As table hosts, Sopra Steria Next facilitated discussions on key concerns, including the risks of […]
April 2025
As someone who has spent considerable time at the intersection of technology and organizational change, my work over recent years has become dominated by two interconnected themes: The Technology of Business and the Business of Technology. The first examines how digital tools have transformed from optional enhancements to […]
March 2025
Artificial intelligence (AI) is a driving force in technological innovation, transforming industries and reshaping how we interact with technology. Open and public AI, which emphasizes sharing models, datasets and methodologies, is at the heart of this evolution. Aligning with open source principles and fostering collaboration democratizes […]
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