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
The problem There is no doubt AI is advancing fast. Governments are backing it, companies are racing to adopt it, and investment is booming. But despite the excitement, we are seeing growing numbers of failures – often serious ones. These failures are not due to […]
May 2025
A.I Moment of realization. I work with people of all ages trying to break into the digital and tech world. So imagine my surprise when, even in the middle of the AI boom, many of them are still afraid that AI is going to steal […]
May 2025
In the evolving world of cybersecurity, the battle lines are no longer just human versus machine—they’re machine versus machine. Artificial intelligence is rapidly transforming both sides of the cyber battlefield. Hackers are now weaponising AI to generate highly convincing phishing scams, automate malware, and adapt […]
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 […]
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